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Examensarbete i Hållbar Utveckling 159 Measuring Sustainable Cities: An approach for assessing municipal-level sustainability indicator systems in Sweden Measuring Sustainable Cities: An approach for assessing municipal-level sustainability indicator systems in Sweden Lakin Anderson Lakin Anderson Uppsala University, Department of Earth Sciences Master Thesis E, in Sustainable Development, 30 credits Printed at Department of Earth Sciences, Geotryckeriet, Uppsala University, Uppsala, 2013. Master’s Thesis E, 30 credits

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Page 1: Measuring Sustainable Cities: An approach for assessing658303/FULLTEXT01.pdf · Green Cities, Sustainable Cities, Sustainability Indicators, Environmental Accounting, Monitoring and

Examensarbete i Hållbar Utveckling 159

Measuring Sustainable Cities: An approach for assessing

municipal-level sustainability indicator systems in Sweden

Measuring Sustainable Cities:An approach for assessing municipal-level sustainability indicator systems in Sweden

Lakin Anderson

Lakin Anderson

Uppsala University, Department of Earth SciencesMaster Thesis E, in Sustainable Development, 30 creditsPrinted at Department of Earth Sciences,Geotryckeriet, Uppsala University, Uppsala, 2013.

Master’s ThesisE, 30 credits

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Supervisor: Lars RydénEvaluator: Madeleine Granvik

Examensarbete i Hållbar Utveckling 159

Measuring Sustainable Cities: An approach for assessing

municipal-level sustainability indicator systems in Sweden

Lakin Anderson

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Contents 1. Introduction .......................................................................................................................... 1

1.1. Aim of the Study and Research Questions ........................................................................ 2

2. Theoretical Approach to Sustainable Development ............................................................. 3

2.1. Chapter Overview ............................................................................................................. 3

2.2. Sustainable Development .................................................................................................. 3

2.3. Systems Theory and Systems Thinking ............................................................................ 5

2.4. Strong vs. Weak Sustainability ......................................................................................... 6

2.5. The Fourth Sphere ............................................................................................................. 7

3. Sustainable Development Indicators .................................................................................... 8

3.1. Chapter Overview ............................................................................................................. 8

3.2. What are Indicators?.......................................................................................................... 8

3.3. Why Sustainable Development Indicators? ....................................................................... 8

3.4. Criteria for Selecting Sustainability Indicators ................................................................. 9

3.5. The Ambiguous Relationship Between Indicators and Policy ........................................ 10

3.6. Sustainable Development Indicators for the Local Level................................................ 12

3.7. An Ocean of Literature and Methods .............................................................................. 13

4. Methodology ...................................................................................................................... 14

4.1. Context ............................................................................................................................ 14

4.2. Research Design .............................................................................................................. 14

4.3. Interviewing .................................................................................................................... 14

4.4. Other Data Gathering ...................................................................................................... 15

4.5. Case Study Method ......................................................................................................... 16

4.6. Delimitations of the Study ............................................................................................... 16

4.7. Geographical Scale .......................................................................................................... 17

5. An Approach for Assessing SDI as Tools for Municipality Governments ........................ 17

5.1. Chapter Overview ........................................................................................................... 17

5.2. Developing the Focus Areas............................................................................................ 17

5.3. Focus Area 1: Vision ....................................................................................................... 19

5.4. Focus Area 2: Indicator Framework ................................................................................ 20

5.5. Focus Area 3: Indicator Selection ................................................................................... 23

5.6. Focus Area 4: Stakeholder Participation ......................................................................... 25

5.7. Focus Area 5: Communication Strategy and Visual Design ........................................... 27

6. Case Study: Falun Municipality, Sweden .......................................................................... 30

6.1. Chapter Overview ........................................................................................................... 30

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6.2. The Swedish Context ...................................................................................................... 30

6.3. Falun Municipality .......................................................................................................... 34

6.4. The Role of Indicators ..................................................................................................... 36

6.5. Falun‘s Sustainable Development Indicators .................................................................. 37

6.6. Vision .............................................................................................................................. 37

6.7. Framework ...................................................................................................................... 41

6.8. Indicator Selection .......................................................................................................... 42

6.9. Stakeholder Participation ................................................................................................ 44

6.10. Communication Strategy and Visual Design ................................................................ 46

7. Discussion .......................................................................................................................... 47

8. Conclusion ......................................................................................................................... 55

9. Towards a Methodology for Assessing Established SDI Systems ..................................... 56

10. References ........................................................................................................................ 57

11. Appendices ....................................................................................................................... 64

11.1. List of Interviews .......................................................................................................... 64

11.2. Interview Brief sent to Interviewees and used in Interviews ......................................... 65

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Measuring Sustainable Cities:

An approach for assessing municipal-level

sustainability indicator systems in Sweden

LAKIN ANDERSON | [email protected]

Anderson, L. (2013). ‗Measuring Sustainable Cities: An approach for assessing municipal-

level sustainability indicator systems in Sweden‘, Master of Science Thesis in Sustainable

Development at Uppsala University, No. 159, 65pp, 30 ECTS/hp.

Abstract: It is now common for managers, strategists, planners and citizens at municipality

level to use sustainable development indicators (SDI) to help them work towards sustainable

development. SDI constitute an information system for monitoring, reporting and decision-

making which in theory should help us decide how to intervene in the natural, economic, social

and political systems we interact with every day for a better, more sustainable future. But not

all indicator systems are created equal. Some are better tools than others when it comes to

helping cities and municipalities in their work, and thousands of municipalities use SDI

worldwide. How then should we assess the effectiveness of existing indicators for

municipalities?

To answer this question I develop an approach for assessing the design, creation and

communication of SDI, and then apply it in a case study in Falun Municipality in Dalarna

County, Sweden. The approach assesses five aspects of SDI: ‗Vision‘, ‗Framework‘, ‗Indicator

Selection‘, ‗Stakeholder Participation‘ and ‗Communication‘. The findings in Falun suggest

that SDI have been essential to the implementation of sustainable development in policy and

action in general municipal operations, but the municipality has not moved beyond a

‗conventional‘ sustainable development vision and monitoring strategy. The benefits and

constraints of the current indicator system are then discussed using the above approach, and the

thesis finishes by offering suggestions for the municipality going forward. I also point to the

need to develop a standardised assessment method for thousands of municipalities using

indicator systems used today, to help in ongoing review and improvement of SDI in practice.

Keywords: Green Cities, Sustainable Cities, Sustainability Indicators, Environmental

Accounting, Monitoring and Evaluation, Urban And Regional Planning, Sustainable

Development, Sweden

Lakin Anderson, Department of Earth Sciences, Uppsala University, Villavägen 16, SE- 752 36

Uppsala, Sweden.

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Measuring Sustainable Cities:

An approach for assessing municipal-level

sustainability indicator systems in Sweden

LAKIN ANDERSON | [email protected]

Anderson, L. (2013). ‗Measuring Sustainable Cities: An approach for assessing municipal-

level sustainability indicator systems in Sweden‘, Master of Science Thesis in Sustainable

Development at Uppsala University, No. 159, 65pp, 30 ECTS/hp.

Popular Summary: It is now common for managers, strategists, planners and citizens at

municipality level to use sustainable development indicators (SDI) to help them work towards

sustainable development. SDI are trends or signals that can tell us objectively if we are moving

towards or away from our sustainability goals. They are an information system for monitoring,

reporting and decision-making, which in theory should help us decide how to intervene in the

natural, economic, social and political systems we interact with every day, so that we may

realise a better, more sustainable future. For example, we may monitor the number of people

using public transport to see if we are reaching emissions targets, or monitor the bee population

to make sure we keep these essential pollinators in our urban and rural areas. Thousands of

municipalities use indicators worldwide. But not all indicator systems are created equal. Some

SDI are better ‗tools‘ than others when it comes to helping cities and municipalities in their

work. How then should we assess their effectiveness?

To answer this question I develop an approach for assessing the design, creation and

communication of existing SDI, and then apply it in a case study in Falun Municipality in

Dalarna, Sweden. Sweden has long been considered a world leader in sustainable development

at municipality/city level. The thesis finishes with a discussion of benefits and constraints of

Falun‘s current indicator system and its use. It also gives suggestions about how the

municipality may be able to make improvements, such as establishing a more decisive vision,

and strategically reducing the number of SDI. Finally, I suggest that there is a need to develop

a standard way to assess the indicator systems used by municipalities today, to help in ongoing

review and improvement of SDI in practice.

Keywords: Green Cities, Sustainable Cities, Sustainability Indicators, Environmental

Accounting, Monitoring and Evaluation, Urban And Regional Planning, Sustainable

Development, Sweden

-

Lakin Anderson, Department of Earth Sciences, Uppsala University, Villavägen 16, SE- 752 36

Uppsala, Sweden.

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Acknowledgements

Thanks to Thomas Sundin, my contact at Falun Municipality, for allowing me access to the

internal workings of a Swedish municipality, and for his advice and insight. Thanks to my

supervisor, Prof. Lars Rydén, for providing advice, guidance and the wisdom of experience.

Thanks to Madeline Granvik for her critical eye. Thanks to Alan AtKisson, Hans Liljenström,

Lars Hallgren and Malin Östman for their inspiring and insightful teaching. Thanks to Chris

and Sonja Anderson. Thanks also to Felix Peniche, Lina Blazeveciute, Alex Campbell,

Johannes Michel, Olga Zukhova, Elisabeth Almgren and Asmir Prepic. A final

acknowledgement and thank you to Sweden and its citizens for their once-free university

education system and pioneering work towards sustainable development.

Thesis Supervisor:

Professor Lars Rydén, Director Emeritus of the Baltic University Programme, Centre for

Sustainable Development, Uppsala University, Uppsala, Sweden.

Thesis Evaluator:

Madeline Granvik, Assistant Professor in Planning (sustainable development and management

of urban-rural interactions), Department of Urban and Rural Development, Swedish University

of Agricultural Sciences (SLU), Uppsala, Sweden.

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List of Figures

Figure 1. The 'Three Spheres' Sustainability framework ............................................................ 4

Figure 2. A 'systems view' of SD placing the three spheres as hierarchically embedded ........... 5

Figure 3. Governance for sustainability: The ‗Four Spheres‘ framework for sustainabilty

analysis (adapted from O,connor, 2006). .................................................................................... 7

Figure 4. Example of goal-based framework created for the City of Sydney, Australia. .......... 20

Figure 5. The DPSIR Framework, adapted from EEA (1999) .................................................. 22

Figure 6. Stages of the policy and planning process. Adapted from Perdicoúlis & Glasson

(2011) ........................................................................................................................................ 23

Figure 7. Example of causal modelling using DPSIR (US Environmental Protection Agency

[Epa.gov], 2013) ....................................................................................................................... 24

Figure 8. Adjusting the amount of data to the audience. ........................................................... 27

Figure 9. Three methods of visual integration for SDI. Clockwise from top left: ‗Dashboard of

Sustainability‘ (IISD, 2007); AMOEBA indicator chart (Adapted from Bell & Morse, 2008);

‗Integrated Sustainability Framework Atlas‘ (Insight East, 2012) ............................................ 28

Figure 10. Map of Sweden and the Baltic Sea with Falun marked in Red ................................ 31

Figure 11. Falun City Centre, 2012 ........................................................................................... 35

Figure 12. Lake Främby, Falun, 2012 ....................................................................................... 36

Figure 13. Structure of Falun Municipality SD Programs and Indicator Monitoring ............... 42

Figure 14. Example of Falun Municipality‘s annual sustainable development reporting. (image:

Falun Municpality, 2011) .......................................................................................................... 47

Figure 15. Example of AMOEBA chart with indicators (adapted from Växjö Kommun,

2011:14) .................................................................................................................................... 54

Figure 16. Commonly suggested 'clean slate' approach to establishing SDI (top) compared to

an approach to an already operational indicator system with ties to organisational practice

(bottom). ................................................................................................................................... 56

List of Tables

Table 1. Criteria for selecting sustaiunable development indicators. ........................................ 10

Table 2. Overview of Relevant Indicators for Swedish Municipalities .................................... 33

Table 3. Falun's 'Public Health Program' subgoals and indicators. ........................................... 38

Table 4. Falun's 'Environmental Program' subgoals and indicators. ......................................... 39

Table 5. Falun's 'Growth Program' subgoals and indicators. 40

Table 6. Summary of discussion, conclusions and suggestions by focus area. ......................... 52

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1. Introduction

Managers, politicians, scientists, investors, consumers, CEOs, city governments and other

important decision-makers are increasingly asked to deal with new levels of complexity as the

links between human activity and the future of earth‘s natural systems become common

knowledge. The past two decades have seen a growing international acknowledgement that

‗business as usual‘ cannot continue. Humanity cannot go on externalising costs to nature as if

we will never receive the bill.

In developed countries, and especially in Europe, the basic concept of ‗sustainable

development‘ has taken hold in important places; company boardrooms, government buildings

at all levels, the grocery store aisle. It is now possible to say without too much naivety that

sustainability‘s basic demand we address multiple dimensions of reality when we make

decisions – at the very least the social, economic and environmental – has begun to change the

world. Yet there is still a long way to go for us to have a hope of dealing with the costs we

know are coming. The barriers to a sustainable future for humanity are high, and daunting.

Over half the world‘s population now lives in urban areas. In Europe, the EEA estimates that

by 2020, 80% of all Europeans will live in cities (EEA, 2006). It is now well established that

the systems and physical landscapes of city-dwellers‘ everyday lives are completely integrated

into national and global sustainability potentials and problems (UN-Habitat, 1996; Costanza et

al., 2007; Moore, 2011). As the modern epicentres of development, urban areas will have to be

a central concern of any successful global push for sustainable ways of living. Clean water,

greenhouse gas emissions from combusting petrol and other fossil fuels, biodiversity loss from

forest destruction and ecosystem degradation, the proliferation and spread of chemicals and

waste, political engagement in democracy, etc. are all within the reach for actors at the local

level. As such, finding effective methods for implementing and measuring sustainability at the

municipal/local level has the urgency of crisis.

Faced with such immense structural and systemic challenges, decision-makers need ways to

understand complexity. The use of indicators for sustainable development is now standard for

governments and organisations aiming to ‗make sustainable development happen‘. Indicators

are data points which measure trends over time in a given system or set of systems (like a city,

industry, supply chain, etc., and ideally tell if we are moving away or towards a desired future

state. Indicators can thus help us choose between different development paths we might take.

A huge amount of work has been put into research, development and implementation of

indicators over the last 20 years, so much so that some now refer to an ‗indicator industry‘

(Hezri, 2004). Approaching the use of indicators for sustainable development at the local level

puts one at the intersection of different fields. Inherent to the topic is the meeting of systems

modeling and information systems, urban and rural regional and city planning, and the reality

of a local political context.

As Hezri (2004) suggests, two sides of the coin are important here. The techno-scientific

design side of indicators (choices made when initially selecting and establishing indicators),

and their use by actors in practice (how we define ‗use‘, and how decisions are actually taken).

The relationship between the two is far from clear in current indicator literature. This thesis

approaches the effectiveness of indicators as tools from SD mainly from the ‗design side‘. The

views of actors within the municipal authority are taken into account, but the act of actual

decision making is not considered in depth. This is important to recognise, as the influence of

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indicators on decisions, especially those related to policy, is not a linear process. The theory

that the path to making better decisions lies in simply having the right data is insufficient to

address the full policy and planning context, a fact which can often be overlooked in more

technically oriented indicator research and work (Hezri & Hassan, 2004). Nevertheless, the

decisions made on the design side of indicators are essential to their effectiveness as tools for

SD work (Bell & Morse, 2003).

Sweden is widely recognised as a global leader in sustainable development. Swedish

municipalities were among the first in the world to adopt Agenda 21 principles and begin

taking meaningful action towards sustainability at local level. A survey taken in 2006 showed

over 60% of municipality authorities in Sweden are carrying out environmental reporting

(SALAR, 2009). Some have now expanded beyond environmental reporting and into

environmental accounting and 'EcoBudgeting'. However, not all indicators are created equal.

The thousands of municipal level governments world-wide now using indicators do so in a

variety of ways, which can be seen as a massive, ongoing experiment in sustainability

management. As Holden (2006: 170) remarks, ―the means by which urban indicator projects

can encourage a synoptic view, act as levers for strategic change, and facilitate sustainable

development, remains to be discovered‖.

This thesis adds to the discussion on indicators at the local level by attempting to develop an

approach for assessing the efficacy of sustainability indicator systems for implementing

sustainable development at municipal-level. This approach is then applied to an existing case, a

Swedish Municipality, with a goal of finding areas which could be improved for better overall

sustainability strategy. The case under study in this thesis is Falun, a mid-sized Swedish

municipality with 65, 000 residents located north of Stockholm in central Sweden.

1.1. Aim of the Study and Research Questions

In this thesis I develop an approach for assessing the design, creation and communication of

Sustainable Development Indicators (SDI) for the municipal/city level, and apply it in a case

study of Falun Municipality, Sweden. The purpose of the case study is to gain insight into the

implementation of SDI in practice at the municipality level and to identify problems and

opportunities in using SDI for the Municipality going forward.

The thesis approaches Falun‘s SDI as a tool for assisting municipalities in achieving

sustainable development, the efficacy of which depends on important elements of design and

communication. Here it is important to distinguish between two sides of a coin: the ‗techno-

scientific design‘ side of indicators, and then their actual ‗use in practice‘. The relationship

between these two sides is not well established in literature and not necessarily linear (I discuss

this further in section 3.4 of the thesis). While this thesis does largely approach SDI from the

techno-scientific/design side, I refer often to their practical use where possible.

The central research questions are:

1. How should we assess existing sustainable development indicator systems being used at

the municipal level?

2. Are Falun‘s sustainable development indicators effective tools for working towards

sustainable development in the Municipality?

3. What are the most important issues for the Municipality in improving its use of SDI in

strategy and decision making in future?

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In order to answer these questions, the thesis looks at the current design, creation and use of

indicators in Falun in five ‗focus areas‘, an approach described in detail in Chapter 5. I also

develop a sub-set of questions to assess the effectiveness of the municipality‘s use of SDI, one

for each area, which are listed in brief below.

1. Formulating a Vision of SD

Question for assessing effectiveness #1: Does the organisation have a defined vision of

SD with clearly connected goals supporting it?

2. Indicator Framework

Question for assessing effectiveness #2: Is the choice of framework suited to achieving

the SD vision?

3. Selection of Indicators

Question for assessing effectiveness #3: Are indicators chosen with a particular

approach or method shaped by systems-approach principles of sustainable

development?

4. Stakeholder Participation

Question for assessing effectiveness #4: Are indicators chosen based on input from a

broad base of stakeholders?

5. Communication – Visual Design and Strategy

Question for assessing effectiveness #5: Are indicators clearly represented for, and

strategically communicated to, target audience(s).

2. Theoretical Approach to Sustainable Development

2.1. Chapter Overview

This chapter presents a theoretical approach to sustainable development. Different aspects of

Sustainable Development are discussed, with brief overviews of the holism of a systems

approach, the contrast of weak vs. strong sustainability, and of government as playing a

regulatory role in the interactions between natural, social and economic systems. The concept

behind indicators is also introduced from a systems perspective.

2.2. Sustainable Development

Sustainable Development (SD) first became prominent in the early late 80s and early 90s. The

start of its ascension in international politics is usually attributed to the 1987 United Nations

World Commission on Environment and Development (WCED) report Our Common Future,

a.k.a. the Brundtland Report, in which the most commonly used definition of SD to date is

appears. The report explicitly frames development in terms of intergenerational equity,

defining SD as ―development which meets the needs of the present without compromising the

ability of future generations to meet their own needs‖ (WCED, 1987). In its most broad form,

sustainable development can be seen as an organising principle for action across all levels of

human organisation (Kjellén, 2008) which may have the potential to re-orient human activity

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towards a more sustainable world. The organising principle of sustainable development is

translated into practice using frameworks like the ‗three pillars‘ of sustainable development

(fig. 1) or the ‗four capitals‘ (Ekins, 1992) among others. These frameworks acknowledge the

fundamental interconnectedness of all domains of material reality – at the least the economic,

environmental and social – establishing these areas as building blocks for planning future

action if human development is to be sustained indefinitely. These frameworks posit a holistic

approach to action and problem solving which is based in systems thinking and acknowledges

the necessity of intergenerational justice. Such frameworks enable sustainability action in all

sectors. For example, corporations and business can use these frameworks for ‗triple bottom

line‘ decision-making. Governments can use sustainability frameworks for comprehensive,

integrated planning policy and strategy. Local communities can use them to understand their

situations and plan for the future.

The ‗three pillars‘ of sustainability (fig. 1) is now a popularised sustainability framework for

professional and academic work of all kinds, interpreted and reinterpreted ad infinitum to suit

the needs of whoever is using it. From corporate triple-bottom-line sustainability reporting to

national natural resource management policy to community environment planning, the

versatile, cognitively simple framework below has become the (perhaps now banal) conceptual

symbol for sustainable development (SD).

Figure 1. The 'Three Spheres' Sustainability framework

Sustainable development‘s adaptability as a concept has been key to its widespread uptake,

while at the same time exposing it to much critique over problems arising from its lack of

definition. For example, its being co-opted by companies looking to buy into ‗green‘ narratives

without making ‗real‘ changes. A central tension is its apparent status as an oxymoron, and

whether it is ‗sustainability‘ or ‗development‘ that is the dominant half of the concept. As

Sachs (1999) argues, the distinction is crucial. Is it nature that threatens development, or is it

development that threatens nature? Is the imperative of SD that we try to sustain our current

mode of development in the face of new, planetary threats to its progress? Or is it rather that

we work to come up with new modes of development that do not threaten the sustainability of

essential natural systems?

Much has been written on the many ways to define SD, and I will not go though it too much

here. (For engaging discussions see Daly, 1990; Mitcham, 1995; Du Pisani, 2006; O‘Connor,

2006, Kjellén, 2008) It is important to recognise that, like ‗democracy‘ or ‗happiness‘ the

concept is inherently wide, plays out in a number of levels and contexts, and thus does not lend

itself to a single definition. In any case, it is clear work with SD means accepting a certain

fundamental conceptual vagueness, and thus it can be frustratingly hard to be sure it is actually

being done. Yet it is in essence an approach to dealing with the world which is ambitiously

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holistic and deeply scientific. Even when expressed in its simplest forms (see figures 1 and 2) it

is clear the concept attempts to contain the undeniably empirical relationships and processes

which span all human and non-human nature on the planet. So what is the closest we can come

to a core definition? From a systems perspective, AtKisson (2005; 2011) gives elegantly

simple definitions of sustainability and sustainable development. These link the two concepts

and are anchored in systems thinking:

Sustainability is a set of conditions and trends in a given system that can continue

indefinitely.

Sustainable development is a strategic process of continuous change in the direction of

sustainability.

These definitions are just about as ‗pared-down‘ as possible, however, and in practice an

organisation or group aiming for SD will need to flesh out the details with their own ‗personal‘

definition of SD and a vision for what the future holds. Again, here is where the flexibility of

the SD concept becomes a benefit rather than a weakness. A plan for change is much more

likely to be realised if those who must act have a sense of ownership and investment in it.

Despite its ascendance to the global zeitgeist it is by no means clear that sustainable

development is achievable. As Campbell, (1996) notes “some environmentalists argue that if

sustainable development is necessary, it therefore must be possible. Perhaps so, but if you are

stranded at the bottom of a deep well, a ladder may be impossible even though necessary.”

What has been well established, however, is that the longer we wait to act, the less likely it is

we can climb out of the well. At the least the global recognition of SD provides an essential

legitimacy for negotiating and navigating, at all levels, much needed new directions for

humanity.

2.3. Systems Theory and Systems Thinking

An important basis for the emergence of sustainable development as a concept is systems

science and systems theory (O‘Connor, 2006). Systems science is about the study of systems in

general. The field his broad and now includes contributions by many scholars, but its

beginnings can be traced to Ludwig von Bertalanffy and his founding in 1968 of General

Systems Theory (GST), which described systems in terms of interacting components (von

Bertalanffy, 1969).

Figure 2. A 'systems view' of SD placing the three spheres as hierarchically embedded

The general applicability of systems theory has led to its use as a foundation on which theories

and practice within many fields and research areas are now built. It has use and application in

engineering, computer science, biology, and many other fields, including sustainability science.

At its simplest, the fundamental notion of systems theory in sustainability science is the

systemic nature of all things, and the embeddedness and connectedness of systems (See fig. 2).

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In practice, many authors and practitioners in the sustainability science field advocate a

‗systems approach‘ or ‗systems thinking‘ (e.g. O‘Connor, 2006, Bell & Morse, 2008,

AtKisson, 2010). Such an approach asks us to look beyond simple causal explanations for

phenomena, to acknowledge that the state of the world is the result of complex relations

between and within systems. A systems approach looks at problems using a holistic, rather

than a reductionist, viewpoint. This approach is essential to any work towards sustainability on

problems for which the solution requires structural change, such as dealing with waste, climate

change, consumption patterns, resource depletion, transport use, etc. Such multilevel complex

problems have roots in multiple systems, e.g. natural, social, political, economic systems. Thus

they require this holistic approach for problem definition, analysis and decision making

(AtKisson, 2010).

In The Limits to Growth: The 30-Year Update, Meadows et al. (2005) define structural change

from a systems approach as having little to do with ‗tearing down buildings‘ or ‗throwing

people out of power‘. Doing this without making real changes to the underlying structure will

result in new people replacing the old and heading in the same wrong direction. Rather,

in systems terms, changing structure means changing the feedback structure, the information links in a

system: the content and timeliness of the data that actors in the system have to work with, and the ideas,

goals, incentives, costs and feedbacks that motivate or constrain behaviour. The same combination of

people, organisations and physical structures can behave completely differently, if the system’s actors

can see a good reason for doing so, and if they have the freedom, perhaps even the incentive, to change.

In time, a system with a new information system is likely to change its social and physical structures too.

It may develop new laws, new organisations, new technologies, people with new skills, new kinds of

machines or buildings. (Meadows et al.., 2005: 237)

SDI are a part of this effort to change ideas, goals, incentives, costs and feedbacks within

countries, societies, cities. Sustainability is not just about systems theory or systems thinking,

it is about applying these approaches/theories in practice. Despite its forward view and appeal

to the imagination, sustainable development ―embodies an ultimate practicality since it is

literally meaningless unless we can ‗do‘ it. As such, it is firmly rooted in the present.‖ (Bell &

Morse, 2008: 5).

Working towards achieving sustainability always has a normative orientation in practice,

requiring practitioners to building appropriate actions on this systems approach to the world.

As soon as we begin to ask the questions: ―sustainability of what? For whom? And through

which institutions?‖ we start to need to deal with philosophical and ethical questions which

require integration of the systemic, biological, technical, with the social, political and ethical

(O‘Connor, 2006). It is at precisely this complex juncture where officials and managers

responsible charged with ‗making sustainability happen‘ find themselves. There is a great need

for tools and methods, such as sustainability indicators, which can help them navigate this

complexity.

2.4. Strong vs. Weak Sustainability

Sustainability can be placed into two categories: strong and weak sustainability. These

categories are built on an underlying framework of four capitals: natural, social, human-made

and human capitals (Ekins, 1992). Weak sustainability is based on neo-classical economic

theory (Rennings & Wiggerberg, 1997) and allows for a flow of capital between the domains,

for example from natural to the social and human made domains, positing that sustainability is

achieved so long as the overall level of capital is maintained. Strong sustainability rejects the

idea that natural and social capitals are inherently substitutable, requiring acknowledgement of

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the need for a level of separation between the domains. The stronger forms of strong

sustainability require natural capital is not depleted at a rate higher than it can be regenerated

(for excellent elaboration of strong and weak sustainability and the ‗capitals‘ see Ayres et al.,

2001).

Indicators can be designed to measure weak or strong sustainability. Which type they measure

depends on the definition of sustainable development, vision of the future and types of

frameworks chosen by the people developing them. These decisions will in turn depend in

practice on things like scale, institutional capacity, political goals, local expertise, and level of

stakeholder engagement. Because of the need to weigh options it is often rightly recommended

that decision makers need a mix of indicators of from both strong and weak approaches to

sustainability. However, advocates of strong sustainability often refer to carrying capacity or

‗planetary boundaries‘ (see Malthus, 1789; Meadows et al., 1974; Rockström et al., 2009) to

argue there is always a point at which we go beyond ‗weighing options‘ and bump up against

natural limits.

2.5. The Fourth Sphere

A fourth sphere can be added to the three spheres or three pillars framework for SD (figures 1

and 2). O‘Connor‘s (2006) framework (figure 3) includes the system-regulatory role of

governance through political organisation. This is a simple way of expressing how government

(or the political sphere) is positioned to have a significant influence in sustainability work.

In this conceptual framework, SDI are then tools to increase the capacity of governments to

play role in the fourth sphere, system regulation, by selectively improving the quality and

quantity of information available about phenomena within and between the spheres. It is

important to notes that sustainability can be structured in other ways, however as will be

discussed later this basic, institutionally oriented structure is particularly relevant to the work

of local government.

Figure 3. Governance for sustainability: The ‘Four Spheres’ framework for sustainabilty analysis (adapted from O,connor, 2006).

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3. Sustainable Development Indicators

3.1. Chapter Overview

This chapter is an overview of sustainable development indicators. It covers why indicators are

especially needed for work towards SD. It also gives examples of sustainable development-

oriented indicator sets developed at different levels and a set of criteria for selecting

/developing new, or assessing existing, indicators for sustainable development. The chapter

goes on to discuss the ambiguous relationship between indicators and policy.

3.2. What are Indicators?

An indicator can be anything delivering information which helps us understand phenomena in

the world. We use indicators all the time in our daily lives. We refer to them constantly, often

without consideration of their function as indicators.

―We have many words for indicator–sign, symptom, omen, signal, tip, clue, grade, rank, data,

pointer, dial, instrument, measurement. Indicators are a necessary part of the stream of

information we use to understand the world, make decisions, and plan our actions‖ (Meadows,

1998: 1).

We might choose to view internet content based on how many others have watched or ‗liked‘

it, invest in a stock based on its performance over a chosen time period, or judge how long ago

it rained by the colour of grass. As is shown in figure 4, indicators give us data about the

underlying complex system, so that we might act and make decisions. However, indicators are

always only partial reflections of reality and can therefore lead us to the wrong conclusions

(Bossel, 1999). We are operating with only partially accurately models of the multiple,

intertwined causations that make up the systems we engage with – banking, health care, a river,

or a farming system, for example. At the same time we must rely on a reading of indicators to

interact with and within systems- unless we have a perfect working model – we have no other

choice.

Because the way systems function depends on information flows within them (Meadows,

Randers & Meadows, 2004), choosing which indicators to measure is a ―crucial determinant of

the behaviour of a system‖ (Meadows, 1998: 5). A change to indicators can therefore change

the system itself. It is the improvement of this cyclic relationship between the way systems

function and the flows of information about those systems that is at the very core of any serious

attempt to develop indicators for sustainable development. The systems-oriented view of both

SD and of indicators is essential as an underlying theoretical basis for understanding how and

why intervening in social, economic, institutional and natural systems and structures using SDI

can work. But it may remain unsatisfyingly abstract for a decision maker responsible for

directing action in real situations where politics, morality, budgets, aesthetics, and human

creativity and error must be managed. Literature, theory and examples for developing

indicators for practical use at the municipal level are reviewed in the next chapter.

3.3. Why Sustainable Development Indicators?

The inherent complexity of sustainability problems and the recognition that they tend to require

a holistic approach means access to the relevant information is essential. As both Meadows

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(1998) and Bossel (1999) argue, moving towards sustainable development at any scale requires

a well-constructed information system (which relies on input from indicators) for decision-

makers which allows them to function within the complexity they face. Sustainability

indicators emerged out of a long history of environmental and social monitoring and reporting

(Hardi & Zdan, 1997; EEA, 1999). Since 1992 UN conference in Rio and wide adoption

Agenda 21 principles, SDI have become a common practice at all levels – national, state,

regional, local and so on. So much so that in practice the sheer global number of projects at

local, national and international levels is such that the work around SDI can to be seen as an

‗industry‘ in itself (Hezri & Hasan, 2004).

SDI are designed/selected to help guide users towards SD goals by providing information

about relevant characteristics of systems. Bell and Morse (2008) define indicators as tools to

answer to a single key question for SD monitoring posed by Lawrence: ‗how might I know

objectively whether things are getting better or getting worse?‘ (cited in Bell & Morse, 2008).

Olsson et al. (2004: 8) define SDI as ―a quantitative tool that analyses changes, while

measuring and communicating progress towards the sustainable use and management of

economic, social, institutional and environmental resources. An indicator is something that

points to an issue or condition. Its purpose is to show how well a system is working towards

the defined goals‖.

Olsson et al. (2004) make a simple yet important distinction between two approaches to

measurement with sustainability indicators. These are the above-mentioned ‗goal-oriented‘

approach, and a ‗relative‘ approach. A goal-oriented approach sets a desired value or range of

values for an indicator, and then measures that indicator‘s performance in relation to that goal.

This approach is ideally used in clear connection to an overarching vision of sustainable

development. A relative approach, on the other hand, represents the indicator relative to other

countries, cities, times, systems or whatever the relevant case may be. This approach is

especially used for ‗benchmarking‘, i.e. performance measurement in, for example,

comparisons of city sustainability – however even indicators subjected to comparison should

still have a target range of values in order to be an SDI (see criteria below). The reasons for

using one of the other are discussed further in the next chapter with a focus on the municipality

level.

3.4. Criteria for Selecting Sustainability Indicators

After reviewing relevant literature addressing criteria for developing SDI (ICLEI, 1994; ICLEI,

1995; AtKisson, 1996; Maclaren, 1996; Hardi & Zdan, 1997; Meadows, 1998; Bossel, 1999;

Segnestem, 2001; Bell & Morse, 2003; Olsson et al., 2004; AtKisson, 2005; UNCSD, 2007;

Bell & Morse 2008), I here identify twelve generic features SDI at the municipality level

should possess (Table 3). The first six features are features indicators for any approach or

purpose should possess. The last six (marked with *) refer specifically to SDI, and are features

which distinguish SDI from other types of indicators.

While strict criteria for indicators are important for rigorous and quality SDI work, it is

important to note that listing criteria and then going after ideal indicators which meet them is

not likely to be a successful strategy (Meadows, 1998). In practice many indicators selected for

sustainability reporting/strategy will not have a hope of meeting all these criteria

simultaneously. Often case by case decisions will need to be made about which indicators to

keep despite their weaknesses or deficiencies, a process which is recommended

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by many authors as part of the iterative SDI development process anyway (Bell and Morse,

2008). Guidance will be needed here. For example, twelve questions to guide thinking about

regional indicators developed by Olsson et al. (2004) for the European Regional Network on

Sustainable Development provides an excellent heuristic tool.

3.5. The Ambiguous Relationship Between Indicators and

Policy

Researching or working in SDI development and implementation at municipality level places

one from the outset at the intersection between politics and science, between political

objectives and ‗techno-scientific‘ information systems. As previously mentioned, a major

purpose of municipality-level SDI is influencing and informing policy and policy development

processes (Campbell, 1996). However, the nature of this relationship between indicators and

policy has not yet been clearly established (Holden, 2006). Research on this relationship is

sparse in the literature, with the bulk of studies focusing on the scientific and technical design

side of indicator sets, instead of on their use in practice (Hezri & Hasan, 2004). This thesis

focuses on the design side of indicators also; however there is a focus on the wider context of

Indicators should be:

1. Relevant to decision-making. Able to be used by decision-makers for planning, policy

formation or other intended purposes.

2. Clear in value. Easy to understand which direction means good change and which

direction means bad. Preferably quantitatively measurable.

3. Adequate in scope. Use time and geographical horizons which are appropriate to the

systems under study.

4. Feasible. Able to be measured at reasonable cost and within a reasonable timeframe.

5. Parsimonious. As simple as possible, but as complex as needed. This applies to sets

of many indicators.

6. Adequately communicated. Presented in a way that is able to be understood by a

large range of audiences, with attention to content and visual style.

7. *Democratic/participatory. Having some measure of broad, ‘bottom up’ input from a

process involving multiple stakeholders.

8. *Integrated/multidimensional. Indicators should be selected within a holistic

framework including e.g. social, economic, environmental, institutional aspects. Should

also address causal links between areas of the framework.

9. *Distributional. Able to express distributed nature of trends and issues which are

spread across populations/areas/times, i.e. income distribution, pollution,

intergenerational justice while still pinpointing their origins.

10. *Forward looking. Should express trends towards or away from a decided-upon

threshold or range (as opposed to providing merely historical data), and be linked to a

future vision of sustainability, allowing for pro-active rather than reactionary decisions.

11. *Physical. Quantities expressed in physical units rather than price where possible, e.g.

tonnes of household-waste rather than dollars spent on household-waste management.

12. *Comparable. There should be some level of comparability with similar projects/cases

in order to judge performance and share knowledge. Done through e.g. using common

indicators as in Ambiente Italia Institute (2003).

Table 1. Criteria for selecting sustainable development indicators. In practice, it is ususally not possible to meet many or all criteria.

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implementation in practice. A main reason for the unclear relationship between indicators and

policy may be the ―lack of desire among the more technically-oriented SD researchers to fully

engage with the socio-political domain in which decision-making operates‖ (Clement cited in

Olsson et al.., 2003).

Hezri & Hasan (2004) argue to properly address this will mean implementing a rethink of the

assumed rationality in decision making which characterises much of the literature on

indicators. The common assumption is that decision makers use a ‗comprehensive‘ rationality,

linked to the theory of ‗economic man‘, which assumes decision-makers look at all

possibilities and choose a maximising option, which will yield the best results of all. But this

assumption is false, the authors argue. The decision making process is closer to a mix of

‗bounded rationality‘ in which decision makers choose from a limited list of possibilities and

select a sufficient option, which will satisfy needs.

Furthermore, incremental rather than dramatic changes tend to be the most successful in

political contexts, i.e. changes that are not too far from the norm. There is thus a degree of

irrationality in decision making that needs to be understood when developing and

implementing indicator systems intended to have influence on policy. If Hezri & Hasan (2004)

are right, there seems then to be a disconnect between the common techno-scientific

conception of SDI as a way to leverage institutional/social/etc. change through enhanced

information to decision makers, and the way in which political decision-makers actually use

that information in decisions. I will not go into this further here, but it is important to note that

the influence of indicators on policy related decision-making may not always be the linear

process supposed by many researchers and practitioners in the SDI field.

Furthermore, decision-makers may simply not find SDI particularly useful or valuable. This

can be for several reasons: because they have either not been involved in the process of

indicator creation (Olsson et al., 2004); they feel the indicators are not relevant for their

everyday work (Shields et al.., 2002); find them to be too confusing due to complexity; or find

them to be of low value due to poor communication design (Shields, et al., 2002; Tanguay et

al., 2010). Furthermore, indicators may simply not be attractive as political proposition. Holden

(2006: 171) describes urban sustainability as attractive in ‗spirit‘ but largely unattractive in

practice for policy makers charged with balancing the social, economic and environmental:

―maintaining a positive balance in all three accounts directly implies privileging limits and

precaution over growth and accumulation‖ (ibid: 171), in other words, political suicide. The

way around this, Holden claims, is to frame municipal sustainability as a ―community based

struggle to learn‖ (ibid: 171) with a view to the future and new understandings of the places we

live. The role of indicators, then, is to provide means for this struggle.

Despite the difficulties, sustainability work at the municipality or city level has been deemed

by many to be especially crucial to the overall project of SD. This is because a) most people

now live in urban areas and this trend will continue in the coming decades, and b) the

dynamics of systems, e.g. material flows, demographics, are easier to work with at the

municipal level. Furthermore, numerous cases such as the Sustainable Seattle (AtKisson, 1996)

project have shown that there can be benefits in establishing indicators which go well beyond

helping political decision makers to make informed decisions with hard data, such as enhanced

community engagement in sustainable development, or a better institutional understanding of

the issues behind indicators.

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3.6. Sustainable Development Indicators for the Local Level

Over half the world‘s population now lives in urban areas and in Europe, the EEA estimates

that by 2020, 80% of all Europeans will live in cities (EEA, 2006). It is now well established

that the systems and physical landscapes of city-dwellers‘ everyday lives are completely

integrated into national and global sustainability potentials and problems (UN-Habitat, 1996;

Costanza, 2007; Moore, 2011). As the modern epicentres of development, urban areas will

have to be a central concern of any successful global push for sustainable ways of living. Clean

water, greenhouse gas emissions from combusting petrol and other fossil fuels, biodiversity

loss from forest destruction and ecosystem degradation, the proliferation and spread of

chemicals and waste, political engagement in democracy, etc. are all within the reach for actors

at the local level. As such, finding effective methods for implementing and measuring

sustainability at the municipal level has the urgency of crisis.

The UN‘s Agenda 21 declaration (UN, 1992) marked the beginning of the ‗mainstream‘ push

for the use of sustainability strategy and indicators for sustainable development at

municipal/city level. This has led to the adoption of Local Agenda 21 principles by thousands

of cities and municipalities worldwide (UNCSD, 2002). As will be discussed further in chapter

6, Swedish municipalities were among the first to proactively adopt Local Agenda 21

principles, and continue with this work today, although in some municipalities Agenda 21 is no

longer explicitly referred to. SDI are established to achieve several functions. According to

Mascarenhas et al.:

The main driving influence for developing local SDI initiatives is to provide information to support

decision making and policy processes. Additionally, the driving forces recognized as the most

important are: (i) the public visibility of the municipality's progress towards sustainable

development; (ii) the monitoring of strategic instruments, in particular LA21/the local SD strategy;

and (iii) the development of local state-of-the-environment and sustainability reports (2010: 651).

While this is a good snapshot of the purpose of SDI, the full picture is a little more

complicated. ‗Providing information to support decision making and policy‘ can be done in

many ways, and issues such as community participation and behaviour change come into play

in crucial ways when meeting the political and planning context. In fact, as Holden (2006)

argues, a main driving force of indicator projects is often enhancing inclusiveness and

participation of the community. And it is at the local level where this has been most evident, as

opposed to the more top down approaches of the national and international levels. Zachary

(cited in Bell & Morse, 2008: 83) suggests a set of functions for SI which may not be so

explicit, yet are highly significant:

1. Enabling a community to identify what it values and allowing it to prioritize those values;

2. Allowing the community to hold individuals and groups accountable for achieving goals

identified by the community

3. Encouraging democracy

4. Allowing people to measure what is important and to make decisions based on those results

The difference between these two descriptions of the function of indicators reflects the scale

between expert and citizen oriented conceptions of SD and SDI so central to using indicators as

local level. See section 5.6 for more on this area.

There has for some time been growing recognition among professionals and researchers

engaged in policy and planning that there needs to be a reorientation of the field towards

sustainability (Campbell, 1996). However as Bell and Morse (2008: 118) note, cities and

regions interesting in re-inventing themselves as sustainable offer much the same as what

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planners and policy makers have been offering for decades – a better society, economy and

environment for all. In one study, Berke & Conroy (2000) compared the comprehensive plans

of municipalities which explicitly claimed to be implementing sustainable development with

those that did not. The authors found that there was little difference in terms of actually

following sustainability principles. The implication here is that it is entirely possible for

sustainability to be an explicit goal but not be applied in a rigorous enough way to significantly

influence planning and resulting policy outcomes. This is concerning but, like the proliferation

of ‗greenwashing‘ in general, it is hardly surprising. The imperative to act and be seen to act on

the one hand, and the constraints of resources and capabilities on the other lead can to a

scenario where it is easier to make cosmetic changes rather than actually doing the job. Despite

over 20 years of use in practice, SDI are by no means a perfected art and their usefulness and

effectiveness in helping achieve SD goals needs to be under constant review.

3.7. An Ocean of Literature and Methods

The literature on SDI development is huge and has for some time constituted a field of its own.

Even if one focuses on only the municipal level, sifting through the massive number of

different projects, frameworks, development approaches, etc. for SDI can be an overwhelming

task for an actor, like a city planner or SD strategist, to try to distil into an operational strategy

(Hoerning & Seasons, 2002). This becomes problematic especially when dealing with time

and budgetary constraints, and the urgency for governments to act – and be seen to act – on

sustainability issues.

Books containing fully comprehensive text books and guides to SDI development processes

have sprung up over the last decade (e.g. Hart, 1999; Bell & Morse, 2003; Hallsmith et al.,

2005; Hák et al., 2007; Bell & Morse, 2008). A plethora of SDI guidelines, frameworks,

process designs, etc. for sustainable communities or municipalities are now available. The

United Nations Human Settlements Programme (UN-HABITAT) maintains an extensive best

practice database with information on sustainable development projects from cities in 140

countries (UN-HABITAT, 2012). A great number of networks, initiatives, institutes and other

assorted organisations, both in Europe and internationally, focus on sustainability and

monitoring for municipalities. Prominent examples are Global Community Initiatives (GCI),

the International Council for Local Environmental Initiatives (ICLEI).

Numerous authors have published studies proposing fully-formed approaches to indicator

development and selection at municipality level, ranging from the community oriented (e.g.

Pollock & Whitelaw, 2005) to the technically challenging (e.g. Wiek & Binder, 2005). Other

authors have also looked at methods for simplifying indicator selection through identifying

common indicators across large numbers of cities (e.g. Ambiente Italia, 2003; Tanguay et al.,

2010).

The academic literature for SDI is characterised by a huge amount of work around the turn of

last century, followed by a lull, and then a recent uptick in publishing in the last two to four

years. Interest seemed to wane and is now on the rise again (although to be clear I make this

assertion based only on months of database search queries and literature review, and I have not

found any ‗meta-studies‘ providing hard data on this trend). It seems that now after a decade,

many of the questions around the utility of indicators in management/government in decision

making are far from being answered. As Holden (2006:1) notes, ―the means by which urban

indicator projects can encourage a synoptic view, act as levers for strategic change, and

facilitate sustainable development, remains to be discovered‖.

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4. Methodology

4.1. Context

This thesis was carried out in coordination with Falun Municipality, in Dalarna County,

Sweden. Early in the research process it was clear that the Municipality was seeking an

analysis and assessment of their use of indicators in order to identify areas for strategic

improvement, especially in the environmental program. This is important to note as it provides

context for the format and research design of the thesis. The work presented here reflects an

attempt to balance the standards of a scientific research project and at the same time meet the

requests of the municipality that the work provide accessible information and insight with the

potential to contribute to the operations of a municipal government.

4.2. Research Design

The thesis is presented in several parts. In section 1 the introduction and research questions are

presented. Section 2 outlines the thesis‘ theoretical approach to SD and touches on systems

theory and government. Section 3 is a literature review of the diverse field of research available

on indicators for sustainable development. This chapter, Chapter 4 presents the methodology

used.

Chapter 5 presents an approach for the assessment of indicator use in municipal government by

identifying five focus areas which are crucial when developing and using indicators. The

analytic strategy here is that of developing a descriptive framework which is then used to

organise the case study in order to identify variables significant to the overall research

questions (Yin, 1994:102-108). The overall question in this case is about the effectiveness of

indicators as tools for sustainable development work in local government. These focus areas

(variables) deal mainly with the science and design of indicators, rather than how they are used

in decision-making. However while former is the focus, I take care to make important

connections to the latter.

This approach is then applied to the situation in Falun in the final part of the thesis, Section 6,

the case study itself. The case study is exploratory and treads a line between presenting data on

the current situation in Falun, and identifying strengths and weaknesses in the municipality‘s

current use of indicators. Here data from interviews is presented also. The main aim is to gain

insight into factors which significantly constrain or enable the effectiveness of the

municipality‘s indicators as tools SD related policy and planning decisions. Section 7 presents

a discussion of each focus area and suggestions for the future. Sections 8 and 9 finish with a

conclusion suggestions for future research.

4.3. Interviewing

Interviewing is a particularly good data gathering method if the researcher‘s purpose is to

understand subjects‘ perceptions, and how they attribute meaning or value to certain things

(Berg, 2000). Semi-structured or ‗semi-standardised‘ interviewing techniques were used to

gather data for the case study. Semi structured interviews are characterised by

―..the implementation of a number of predetermined questions and/or special topics. These questions are

typically asked of each interviewee in a systematic and consistent order, but the interviewers are allowed

freedom to digress; that is, the interviewers are permitted (in fact expected) to probe far beyond the

answers to their prepared and standardized questions.‖ (Berg, 2000:70)

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A major difficulty that can arise with interviewing is ensuring effective communication (Berg,

2000). The interviewee needs to understand the purpose behind and wording of the questions,

and the interviewer needs to understand the answers. This was particularly important in the

case study as interviews were conducted mostly in English, which is not the mother tongue of

the interviewees. However, three things act to counter this difficulty. First, the interviewees‘

English literacy in their professional fields was relatively high. Second, the interviews were all

with subjects working for the same organisation, and thus common terms about work and

organisational culture were easy to navigate. And third, the semi-structured interview form

allowed me to clarify and digress when questioning; a higher level of accuracy than using e.g.

a standardised survey.

Each semi-structured interview consisted of questions grouped around three themes. The first

theme was the development of the indicators, e.g. was the interviewee involved in selecting the

indicators? How was the process carried out? The second was the indicators as a tool for

monitoring, e.g. are they an effective tool? Did the interviewees find them useful in everyday

work? Did the indicators help them approach/deal with multiple dimensions of SD? The third

was communication, e.g. did they find it easy to understand the data? Were they able to use

them in their own communicative tasks?

Data for the case study was gathered through interviews with key personnel. The interviews

were carried out in June 2102 with key municipality personnel. In total I conducted interviews

with seven municipal employees. This included strategists Economic Growth Program and

Environment Program strategists, the Energy and Climate strategist, an officer in the nature

conservation department and a strategist working in the Public Health Program focused on

education.

4.4. Other Data Gathering

Other data for the case study was gathered through a review of government documents, and

access to information from the internal control-database the municipality uses in its operations.

The review of official Falun Municipality and other government documents, and information

from the internal database was carried out over several months during the thesis research.

Official data sources included:

Annual sustainable development reports (Utveckling i Falun),

Official program plan documents for the Environment, Growth and Public Health

programs (Lokalt Miljö, Tillväxt och Folkhälsa programplanner),

Corresponding program ‗action plans‘ (Åtgärdsplaner) for each program.

Internal data from municipality information system: hierarchical record of the

Municipality‘s work by program, sub-goals, goals and indicators.

Internal data from municipality information system: listing of all indicators in the

Environmental and Public Health programs. This showed what was measured and the state

of progress towards a goal (good, bad, no change) of indicators for each program.

(Indicators for the growth program were not available as they were not kept in an

information system like the other programs. Rather, they were communicated to me by

strategists during interviews.)

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4.5. Case Study Method

In the final part of the thesis the case study is presented. Case studies are often viewed with

suspicion. The case study as a method has been criticised as being insufficiently defined for

rigorous scientific research. Despite the available literature elaborating case study typologies

and methodologies (albeit with arguable rigour), case studies are still often labelled as ‗bad

science‘ (Scholz & Tietje, 2002). In contrast, case studies are used often in teaching and are an

excellent tool for establishing a framework to generate space for discussion and analysis in

pedagogic settings (Tellis, 2009). Case studies in for research, however, need to present data in

an empirical way and show evidence of research – the reader must be able to fully see the steps

of the research process and sources of all data, if not repeat it.

Another important question is whether case studies are generalisable. Of course, whether a

study is generalisable depends first on the research design and topic. But a deep study of an

isolated case will logically produce more particular results that constitute less generalisable

findings, as opposed to a broad comparative study of multiple cases. However, a case study

must always generalise to some extent because any case presented must include consideration

of other cases in order to describe what it is that is being studied and why (Gerring, 2006).

Cases studies thus are always both particular and generalisable to a greater or lesser extent:

No case study (so-called) denies the importance of the case under special focus, and no case study

foreswears the generalizing impulse altogether. So the particularizing/generalizing distinction is rightly

understood as a continuum, not a dichotomy. Case studies typically partake of both worlds. They are

studies of both something particular and of something more general. (Gerring, 2006:76)

The study would likely have been strengthened by the addition of one or more cases to the

research design in order to make comparisons. However, I do present other relevant cases and

examples in the first part of the thesis when developing the analytical framework, thus linking

these to each area under consideration in the case study.

4.6. Delimitations of the Study

My base requirements for potential case study municipalities were that they must have

Worked with indicators for over five years, so that there was sufficient time and

familiarity for interviewees to evaluate outcomes, and sufficient history/data for me to

gather relevant information.

Be both actively engaged in sustainability publicly, e.g. in programs and investment, and

actively promoting a perception of being engaged in sustainability, e.g. on website and in

marketing.

Have at least made attempts to engage the public and various stakeholders in creating

indicators.

Four cities/Municipalities were originally on my list for possible case studies, none of which

were Falun. They were Uppsala, Stockholm, and Örebru. However, it became clear that none

of these cities were going to agree to participate in such a study in the timeframe required. I

contacted Falun next, and they were positive to the proposal. Choosing to focus on only one

case for the thesis means can drastically reduce if not cancel the generalisability of the

findings. However, the decision was made to spend the time and resources available on

studying Falun‘s situation in depth in order to gain insight, apply the developed assessment

approach, and aim to identify areas for strategic improvement. Other cases are included in the

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literature review and are referred to in the case study, however the data used is of course

secondary.

Interviews gave insight into decision-makers‘ perceptions of indicators; however the

interviewees were municipal employees only. No politicians or other stakeholders were

included. This was again a choice about the scope of the study with consideration to time and

resources. Politicians especially are an important group as they form policy which is supposed

to be informed by indicators. However, as the study progressed it did become clear that due to

the highly technical role indicators play in the municipality, it is the municipal employees who

work with indicators most intimately. They are thus arguably in the best position to speak on

the three themes above.

4.7. Geographical Scale

In this study, I focus in SDI for the local level, with Falun Municipality as a case study. In

reviewing the literature on indicators, one finds many terms referring to scale. International,

National, State, Regional, County, Municipal, City, Local and Community are the most

common terms used to denote scale. In this study I refer to 1) international level, 2) the

national level and 3) the municipality level. For the purposes of this study I take the

‗municipal‘ and ‗local‘ levels to be roughly equivalent, and use the terms interchangeably.

5. An Approach for Assessing SDI as Tools for

Municipality Governments

5.1. Chapter Overview

In this chapter I develop an analytical framework through which to examine the use of

indicators in municipal level government. The framework is made up of five ‗focus areas‘

which are crucial for the function of SDI in policy and planning. These areas are the focus in

the case study, specifically in interviews, analysis of the municipality‘s program structures and

documents, and other data gathering. The goal is to gain insight into factors that constrain and

enable the effectiveness of existing indicators as tools for a municipality government for both

increasing understanding of and use in decision-making in sustainability issues. The case study

itself is addressed in chapter 6.

5.2. Developing the Focus Areas

When it comes to choosing the best process/project design for developing indicators, there are

numerous options available (see section 3.6) especially at the municipal level, each of which

emphasise different steps and methods. At the same, a municipality may not follow one

particular methodology, plan or policy when creating the indicators they use today. The

indicators and the way they are used in practice can exist as a result of incremental changes

over years (for a treatment of instrumentalism in policy and indicator use see Hezri & Hasan,

2004). The challenge in this study then was to find a way to approach the municipality‘s design

and use of indicators, i.e. how to assess the system in use today.

To do this I selected five focus areas based on a literature review. Each area below has broad

support in key literature as being a crucial element of establishing indicator systems. Each will

be elaborated further in the rest of this chapter. As the main research question is whether

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indicators are effective tools for the Municipality‘s SD work, a research question for assessing

effectiveness is included with each area. I make an analysis of the situation in Falun in each

area to gain insight and identify how factors in each area constrain/enable the effectiveness of

indicators as tools for the Municipality in its SD work.

Focus Area 1: Vision. Formulating a Vision for the future and a definition of SD introduces

creativity and direction into SD work, giving goals and indicators links to an actual future state.

Choosing an agreed-upon definition of SD is an integral part of creating a vision. (ICLEI,

1994; Hardi & Zdan, 1997; Bell & Morse; 2003).

Question for assessing effectiveness: Does the organisation have a defined vision of SD with

clearly connected goals supporting it?

Focus Area 2: Indicator Framework. The chosen type of indicator framework is crucial to

indicators‘ potential to be effective tools for increasing understanding and helping in decision

making in pursuit of goals and an overall vision. Different frameworks have inherent strengths

and weaknesses. (Maclaren, 1996; Meadows, 1998; Bossell; 1999; UNCSD, 2001; Bell &

Morse, 2003)

Question for assessing effectiveness: Is the choice of framework suited to achieving the SD

vision?

Focus Area 3: Indicator Selection. Here the focus is on selecting indicators which are

especially suited to measuring sustainable development. These are indicators which have been

chosen based on some type of SD principles, address multiple dimension of SD, are causally

linked and/or are suited to benchmarking/comparison. The costs and benefits of selecting such

indicators vary. (Maclaren, 1996; Hardi & Zdan, 1997; Meadows, 1998).

Question for assessing effectiveness: Are indicators chosen with a particular approach or

method shaped by systems-approach principles of sustainable development?

Focus Area 4: Stakeholder Participation. Relevant community stakeholders can have input

into selecting SDI. There are different strengths and weaknesses associated with different

levels of such participation (Hardi & Zdan 1997; Bell & Morse, 2003; Fraser et al., 2006;

AtKisson, 2010)

Question for assessing effectiveness: Are indicators chosen based on input from a broad base

of stakeholders?

Focus Area 5: Communication Design and Strategy. Here the focus is on choosing the

right level of complexity when communicating indicator data showing progress in SD for

different audiences, representing indicators with various visual techniques for interpretation,

and using them as part of a communication strategy in order to reach target audience(s).

(Shields et al., 2002; Bell & Morse, 2008; Ryden, 2008)

Question for assessing effectiveness: Are indicators strategically communicated to target

audience(s)?

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5.3. Focus Area 1: Vision

The ability to formulate images of the future is fundamental to our ability to enact change in

the present. The capacity to generate visions of the future is crucial to cities‘ (and societies‘)

ability to adapt and survive. Yet often

―…in imagining possible urban futures, both experts and citizens lack the tools and processes for

useful dialogue beyond economics, technologies, and functional needs, into the realm meaning,

beliefs, and quality of life.‖ (Wuellner, 2011:662).

Visions allow us to bridge this difficulty in connecting means and ends, and between what we

are doing now and what might be. Formulating a vision for SD is a fundamental requirement

for successfully developing and using indicators as part of any sustainability strategy because it

needs to be clear not only which direction each indicator should move in, but where it is

heading (UN, 1992; Hardi & Zdan, 1997; Bell & Morse, 2003). Visions are usually

recommended as the ‗first step‘ in indicator processes (AtKisson, 2008). This vision should

contain a definition of what sustainable development is. The geographical scale (what area

does this vision cover?) and the time frame (a vision to 2020, to 2050, 2100?) are the most

basic elements here. A vision for a shorter time frame allows for more concrete planning with

attention to the decided upon definition of what SD will be. However, this can lead to a vision

which relies heavily on the way the organisation ‗works today‘ and simply projecting it

forward. A longer time frame allows for more ambitious visions, encouraging creative

thinking which steps outside the constraints of the everyday. It is often recommended that both

a shorter and a longer term vision be developed simultaneously (Bell & Morse, 2003; Rydén,

2008). In order to select goals and indicators which are relevant to the municipality, a vision

for SD should also be contributed to by relevant stakeholders (Bell & Morse, 2008).

Visions give decision-makers charged with making sustainability happen the context for setting

goals and selecting indicators that will bring about change. Visions function as ‗frames of

reference‘ for goals, making them relevant; explaining why they are significant. For indicators

to be oriented towards goals (sustainability or otherwise) means a deciding upon a value or

range of values deemed desirable, what Bell and Morse (2008) call the indicator‘s ‗band of

equilibrium‘. For example, when measuring the average number of kilometres travelled when

citizens commute, there should be a target number at which the indicator shows a desirable,

sustainable, etc. level. Deciding on this range is then more substantive and effective when

working with goals supporting a vision. It is of course possible to carry out monitoring and

reporting work with SDI in the absence of a vision, but this limits the possibility of using SDI

strategically. Without a vision and goals to support it, indicator selection and use can remain

nothing more than an exercise in monitoring and data gathering which, while useful for many

operational purposes, has no clear connection to change in the direction of sustainability.

Organisations and governments have been using development visions for decades as part of

policy, planning, marketing work etc. Formulating a vision for SD which explicitly

acknowledges sustainability problems and opportunities is essential to re-orienting action in the

direction of sustainability (Boyko et al., 2012). However a relevant question for policy makers

and planners at local level is how to approach incorporating the SD vision into their operations.

Three options seem possible: (1) a ‗sustainable development section‘ is added as an

amendment to the existing vision (2) a vision for SD is developed and used separately to the

overall vision, or (3) the municipality reformulates it‘s overall vision completely, re-orienting

it towards sustainability principles.

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Much of the literature suggests a sustainable development vision should be formed on its own

as part of a process which involves establishing indicators also, and then that progress towards

the vision should be reported through monitoring and reporting (e.g. Maclaren, 1996; Bell &

Morse, 2003). Decision makers engaged in sustainability work must then manage the

interaction between an SD vision and a more or less separate development vision for the

municipality.

5.4. Focus Area 2: Indicator Framework

Types of Frameworks

A framework structures knowledge and concepts in the abstract, while in practice providing the

basis for action and communication. In a practical sense frameworks function as ―a conceptual

platform on which a group can stand to talk about a complex topic, so that everyone can be

reasonably sure that they are talking about the same thing.‖ (AtKisson, 2004). The framework

chosen when establishing SDI is crucial as its structure will significantly constrain/ enable

sustainability monitoring outcomes (UNCSD, 2001). Different types of frameworks have been

well covered by Maclaren (1996), who identifies five types of frameworks for sustainability

reporting: domain-based, goal-based, issue-based, sectoral and causal. Below I summarise

Maclaren‘s (1996) classification work in order to bring a clear framework typology into this

study. While Maclaren‘s focus is on indicators, such frameworks are also used to structure

wider SD strategy (also see Hoerning & Seasons, 2004).

A simple example of the use of the domain based framework used often in sustainability work

is the ‗three spheres framework‘ presented in Figure 1. Using the domain-based type of

framework, goals, activities and/or indicators for a project are separated into conceptual

dimensions of SD, in this case into the three categories of economic, social and environmental.

As is discussed in the case study in chapter 6, Falun Municipality uses a modified version of

this framework – not just for indicators, but to structure sustainability strategy and therefore

decisions and action. Using domain-based frameworks has for some time been recommended

by authorities in the field (UNCSD, 2001). A prominent example is Seattle‘s now famous

‗Sustainable Seattle‘ project (AtKisson, 1996). Between 1990 and 1995 Sustainable Seattle met

in a series of forums and workshops, creating one of the most widely cited SDI projects to date.

The work was community driven (bottom-up) and distinguished five domains: Environment,

Population and Resources, Economy, Youth and Education, and Health and Community.

Figure 4. Example of goal-based framework created for the City of Sydney, Australia.

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A problem with domain-based frameworks is that they tend to do a poor job at linking

sustainability monitoring with SD goals (Maclaren, 1996). There is also a lack of integration

between the domains. Goal-based frameworks mitigate these weaknesses by requiring the

identification of overall goals first as the ‗building blocks‘ of the SDI project. Indicators or

groups of indictors can then be created to show movement towards these goals (ibid). An

example of a currently used, goal-based framework is that produced by Partridge et al. (2011)

for the City of Sydney (fig 5). A problem with this type of framework is that while the links to

SD are clear, ―complex relationships among the various dimensions of sustainability‖

(Maclaren, 1996: 192) are still largely left out.

Issue-based frameworks structure sustainability monitoring based on locally important issues

like waste management or employment easily understood by actors, but does not explicitly link

to goals or ensure coverage of all dimensions of SD (ibid). Sectoral frameworks structure

sustainability monitoring based on the existing departments/areas of responsibility or the local

government, like energy, education, or nature conservation. These frameworks are well aligned

with the work of municipality politicians & staff, and make accountability clear, but again lack

attention to linkages across areas, resulting in a ‗silo‘ effect in practice (ibid) in which sectors

do not integrate.

Although the above frameworks can be operationalised in productive ways, they all contain

weaknesses related to capturing an integrated picture of SD. Maclaren (ibid) argues that the

complexity of sustainable development can only be monitored if they are combined with a

causal framework. Causal frameworks are based on systems theory and give attention to the

causal relationships between dimensions of SD. Below I review two more frameworks. The

first is PSR (or DPSIR in its later incarnation), a framework widely used in environmental

monitoring. The second is Donella Meadows‘ (1998) extension of the Daly Triangle (Daly,

1973). It can be classified as both domain-based and causal, although there is room for

combination with other models like DPSIR. It is one of the most comprehensive and interesting

frameworks for SDI available, however questions remain over how well this framework

translates into practice in, e.g. which scale it is most suited to; national, regional, local etc.

Pressure State Response (PSR)

A widely used model for selecting indicators is the Pressure-State-Response (PSR) framework.

Developed by the OECD and growing in popularity from the early nineties onwards, it is a

systems modelling-based approach to development and classification of indicators in causally

linked chains. Put simply, the PSR model is designed to help ―establish causal links between

human activity, environmental conditions and policy and programme responses‖ (Hoerning &

Seasons, 2004:86).

Originally developed for environmental reporting (EEA, 1999), the PSR framework mirrors the

‗Stock-Flow-Feedback‘ elements of dynamic systems modelling, where pressures correspond

to Flows, States to Stocks, and Feedbacks to Responses. The framework has been readily

adopted for developing indicators for a host of sustainability applications, such as cities,

development projects or coastal management schemes (Bell & Morse, 2008). PSR has been

expanded into the now commonly used Driving Forces-Pressure-State-Impact-Response‘

(DPSIR) by the European Environmental Agency (EEA, 1999). Carr et al. (2007: 545) provide

a neat summary of the framework‘s typology of indicators when applied to sustainable

development (for an environmentally focused purpose, the framework may have been

elaborated differently, with different examples):

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Driving forces (or Drivers) refer to fundamental social processes, such as the

distribution of wealth, which shape the human activities that have a direct impact on the

environment.

Pressures are both the specific human activities that result from driving forces which

impact the environment, such as the resource extraction necessary to fuel the automobile

fleet of the United States, and the natural processes that have a similar impact on the

environment, such as volcanoes and solar radiation.

State is the condition of the environment. This condition, under current

conceptualizations, is not static, but is meant to reflect current environmental trends as

well.

Impacts are the ways in which changes in state influence human well-being.

Responses generally refer to institutional efforts to address changes in state, as

prioritized by impacts.

Donella Meadows’ Extension of the Daly Triangle

Donella Meadows, lead author of The Limits to Growth, and a leading world authority on

information systems for sustainable development (AtKisson & Davis, 2001), provides a

comprehensive framework for SDI (Meadows, 1998). Her framework builds the work of

former senior World Bank economist Herman Daly. The ‗Daly Triangle‘ (Daly, 1973) places

human society within a hierarchy between ultimate means and ultimate ends and incorporates

the now widely used ‗Four Capitals‘ (referred to in section 2.5 of this thesis): natural,

economic, social and human capital (for a clear elaboration of the ‗Four Capitals‘ in connection

with SD work, see O‘Connor, 2006).

The Daly Triangle distinguishes between ‗ultimate means‘, ‗intermediate means‘ and ‗ultimate

ends‘ for human societies. Meadows (1998) extended this to include ‗intermediate ends‘ also.

The structure of the framework places human development in a hierarchical relationship with

nature and ultimate social goals at either end.

This structure is absent in other frameworks like the ‗Three Spheres‘ domain-based framework

or the causal DPSIR, and represents a more holistic view for sustainable development work. It

also directs attention to the top and bottom of the triangle (ultimate means and ultimate ends),

which are usually under-represented in indicator sets, in the workings of markets, and in

government decision making (Meadows, 1998). One critique of this framework is that it may

difficult for projects at a smaller scale to implement due questions of where to place system

Figure 5. The DPSIR Framework, adapted from EEA (1999)

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boundaries. Also, that its hierarchical structure is anthropocentric and fails to incorporate the

‗cyclic‘ qualities of nature (Meadows, 1998).

5.5. Focus Area 3: Indicator Selection

Multidimensional Indicators and Causal Modelling

One challenge at the city/municipal level is how to select indicators which address multiple

dimensions of sustainability, e.g. environmental, economic, social, political, etc. For example,

measuring the number of jobs which pay a ‗living wage‘ (as opposed to say, merely

employment) which refers to progress towards goals in both social and economic conditions.

Here ‗indices‘, aggregations of many indicators into one, can be useful as they are designed to

represent diverse indicators in one measurement. However, there is a risk that important detail

can be lost when creating an index, and indices do not address linkages between indicators they

aggregate. (Indices are discussed in section 5.7 on communicating SDI.)

Hoernig & Seasons (2004) offer a useful classification of three approaches to indicators:

‗Conventional‘, ‗Integrative‘ and ‗Performance‘. Conventional indicators fall into the familiar

social, environmental and economic categories, taking a ‗discrete, single sector, often single

discipline‘ approach to each. Integrative indicators monitor with ‗holistic, multisector, and

multi- and inter-disciplinary‘ approaches that use integrative accounting of environmental,

social and economic development, and inform a holistic and ‗positive‘ vision. Performance

indicators take an organisational performance approach, using performance measurement and

benchmarks to monitor progress towards program or policy goals, and contrast organisational

practices with ‗best practice‘. A municipality may want a combination of all of these types of

indicators, but certainly it is the integrative approach which is best suited to sustainability work

(ibid).

Using DPSIR and/or other causal frameworks can produce integrative indicators (Maclaren,

1996. However DPSIR creates casual chains rather than causal networks. Indicators based on

causal networks, are dynamic and show the interlinking multiple causations in underlying

systems. A well-functioning network model could be potentially hugely useful to planners and

policy makers, providing analytical and even predictive capacity not possible with standard

indicator sets. Perdicoúlis & Glasson, (2011) demonstrate that most commonly used types of

indicators may have a limited value for policy/planning built in to their design. The authors

study define three types of SDI: ‗anthology‘ type SDI, which are essentially lists of diverse

indicators displaying historical, linear trends about specific elements of SD; ‗index‘ type SDI,

which are indicators aggregated into indices; and ‗model‘ type SDI which are based on causal

modelling of the underlying systems indicators express (see Figure 4).

Anthology and index types of indicators are the most commonly used types of indicators used

in planning and policy situations. The authors argue that these types of indicators do not

Figure 6. Stages of the policy and planning process. Adapted from Perdicoúlis & Glasson (2011)

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significantly help in important stages of the policy and planning process (Figure 8). They help

in defining a problem (its current conditions & possible outcomes). They also help in

measuring ‗performance‘ (how well the problem is solved). But, Perdicoúlis & Glasson argue,

they do not significantly help in problem analysis, finding solutions, simulation in order to test

solutions, and decision making (the four middle stages in figure 8). Causal modelling, on the

other hand, can help significantly at every stage. However the feasibility of detailed causal

mapping can be questionable for the local level, due to cost and the rigorous interdisciplinary

scientific work required for such a project (see figure 7).

Nevertheless, research continues in this direction, and these costs can potentially be reduced as

method development and experimentation continues. Far more feasible and already tested in

practice are less scientifically/numerically rigorous but more practically applicable ‗hybrids‘ of

stakeholder participation, systems analysis and indicator development like Bell and Morse‘

(2003) Systemic Sustainability Analysis (SSA) methodology. The Earth Charter Partnership

for Sustainable Communities‘ (ECPSC) EarthCAT guidebook (Hallsmith et al., 2005) also

contains detailed guidance for cities and local governments wishing to begin mapping systems

and casual links between areas they are charged with managing, e.g. transport use,

employment, health of individuals, using an established systems approach yet including

‗bottom up‘ input from stakeholders.

Figure 7. Example of causal modelling using DPSIR (US Environmental Protection Agency [Epa.gov], 2013)

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Comparability

The use of ‗common‘ or standardised SDI which can facilitate comparison between regions,

cities, etc. is discussed often in the literature. There now exist numerous examples of projects

and research aiming to establish standardised or common SDI at the municipality/city level

(e.g. Ambiente Italia, 2003; Mascarenhas, 2012). At the same time it is at this level the lack of

standardisation in SDI development methods, processes, goals and outcomes is particularly

evident (Tanguay et al., 2010). The attraction of standardised sets of indicators is their

comparability. The less variation in SDI development and selection between regions, the more

possibility there is for measuring performance through benchmarking, i.e. performance

measurement (Boyko et al., 2012). Comparability is also important in measuring the success

of specific SD strategies and activities so that municipalities may reduce the cost of sharing

such knowledge and practice with each other (Mascarenhas, 2010).

However, some authors argue that attempting common or universal measurement of SD can be

problematic. According to Hosseini & Koneko ―interactions between pillars of sustainable

development are regional phenomena, not global facts‖ (2010: 197). Although the authors are

referring to the national rather than municipality level it nevertheless follows that interactions

between pillars of SD for cities (especially those within different countries) may be regionally

specific also. If the causal links between phenomena in the spheres of sustainable development

are different region to region, using common or standardised indicators can potentially give a

poor reflection of reality, i.e. not be relevant enough for local decision makers.

Under this logic, SD measurement should then be as regionally, culturally, environmentally,

etc. specific as possible in order to address sustainability issues in a locally relevant manner.

This is one of the reasons the potential for SDI to lead to significant change within

municipalities depends on the participation of local stakeholders raising local issues and having

a hand in shaping SDI (Hardi & Zdan, 1997; Bell & Morse, 2003). However problems with

standardised measurement will likely be more pronounced when comparing cities with large

differences, e.g. in poor countries vs. rich countries. The benefits of comparison between

municipalities remains essential to the overall goal progressing SD and it is hard to imagine not

being able to find significant similarities which allow comparability between more

homogeneous municipalities, e.g. cities within the same country.

In short, standardised SDI allow for comparisons between cities/municipalities essential to the

overall project of SD at the municipal level. However, they can exclude significant place-

specific variation in the causal connections between phenomena in different spheres of SD. On

the other hand, locally-specific SDI address sustainability issues which are specific to the local

complexity of a region, and can be more relevant to local actors. However, they do not allow

for the comparative power of standardised indicators. In order to overcome these weaknesses,

SDI developed for a municipality should strike a balance between capturing important local

features, for example a seasonal local fishing industry, while also covering common regional,

national and/or internationally important areas, like carbon emissions from transport. In

practice this means municipalities in the EU facing an ever changing ‗landscape‘ of indicator

initiatives need to be attentive to relevant ‗common indicator initiatives‘ as part of their

maintenance of their SDI and be open to including common indicators, e.g. the European

Common Indicators (Ambiente Italia, 2003).

5.6. Focus Area 4: Stakeholder Participation

A key issue for municipalities when approaching SDI is whether they should aim for an ‗expert

or citizen oriented‘ outcome. Which SDI should be decided by experts in the field (or in the

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office)? How should citizen groups, business owners, etc. be involved SDI if at all? This expert

vs. citizen tension is certainly not limited to SDI projects and will be familiar to those engaged

in science and technology policy (Rowe & Frewer, 2000).

It is now well recognised that participation by a broad base of stakeholders in processes for

establishing SDI can be crucial to the success of SDI projects (Hardi & Zdan, 1997; UNCSD,

2001), particularly at the municipal and city levels (AtKisson, 1996; Maclaren, 1996; Bell &

Morse, 2003; Fraser et al.. 2006). As Bell & Morse (2008) note, sustainability efforts at

municipality level in particular have been most successful at including stakeholder

involvement relative to those at other levels. ―It is the participatory nature of sustainable city

projects that largely distinguishes them from other attempts to put sustainability into practice.

If one looks at almost all of the other examples of SDI development, including those of the

UN…. the flavour is very much one of top-down‖ (Bell & Morse, 2008: 83).

Also widely supported in the literature is the need for stakeholders to be involved in three steps

of SDI processes, (1) imagining a vision/ defining sustainability, i.e. ‗where do we want to go

in future?‘ (2) Indicator scoping and selection – ‗what is possible to measure?‘ (3) Ongoing

communication and review efforts. Involving a broad base of stakeholders in SDI processes

can have many benefits. It can increase the political and practical legitimacy of attempts to put

sustainability into practice (Meadows, 2008; Rametsteiner et al.; 2011). It can establish

ownership and emotional investment in SDI from stakeholders crucial to achieving change

(AtKisson, 1996). It can also help communities get a better understanding of goals and values

through collaborative processes involving learning and action (Bell & Morse, 2008).

In fact, Bell & Morse, (2008) found that in the Case of Norwich City council in the UK, the

primary function of establishing indicators may not have been the obvious one– to measure

sustainable development–rather it was about ―an attempt to increase the increase the

appreciation of the many issues behind each SDI‖ (ibid, 83) through participation in

collaborative processes. The community chose and prioritised goals and values and then

identified who was accountable for achieving them. Such participatory processes can increase

communities‘ capacity to deal with sustainability issues in future and even ―may be more

significant than the results of the actual development projects‖ (Fraser et al., 2006: 115).

A key benefit of bottom-up participation is that it can lead to the ownership and emotional

investment in SDI required to make SDI relevant and salient to those who must act (Fraser et

al., 2006). In other words in order for indicators to be part of a process for change, people have

to care about them in the first place. Another benefit is that involving stakeholder groups may

increase democracy in ‗doing‘ sustainable development (Eckerberg & Mineur, 2003). This can

increase the perceived legitimacy of indicators as tools for decision making for politicians.

―Just as the expert brings scientific credibility to the indicator selection process, so does the

non-expert bring political credibility.‖(Meadows, 1998: 26).

While broad based participation can be highly valuable, it must be emphasised the participation

of experts remains absolutely essential if indicators are to be created/selected and monitored in

a rigorous way which ensures they meet criteria for quality, feasibility etc. in a technical sense

(Bell & Morse, 2003). An approach which mixes of top-down, expert oriented and bottom-up,

citizen oriented approaches is now an aim of best practice in indicator work. For example Reed

et al. (2006) propose a best practice approach to applying sustainability indicators in

communities which combines the two approaches effectively in an adaptive learning process;

an iterative ‗back and forth‘ cycle between citizens and experts, and between qualitative and

quantitative research. The aim is to produce the nuanced, ‗hybrid‘ expert-citizen knowledge

needed to form relevant sustainability indicators. However, to run effectively integrate expert

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27

and non-expert opinion and knowledge requires investment and expertise which may not be not

available to many municipalities.

5.7. Focus Area 5: Communication Strategy and Visual

Design

A main purpose of indicators is to make complexity more understandable. The visual form and

degree of complexity in which they are communicated is thus essential to their effectiveness as

tools for decision making. Indicators may be communicated in different ways depending on

who the intended audience is. Deciding on how SDI should be communicated means first

knowing who the SDI are intended to inform and/or influence and what they may use SDI for.

Making indicators useful and influential for companies, government employees, politicians, the

general public, etc. may require communication through different formats and media as part of

a communications strategy.

Figure 8. Adjusting the amount of data to the audience. Adapted from Shields et al. (2002)

Interestingly, it can be argued that simply establishing indicators where before there were none

has a communicative function. Measuring something and communicating the measurement

indicates value. It sends signals that a part of the world we may not have previously been

aware of is worth knowing about. ―We measure what we care about and we care about what we

measure,‖ (Meadows, 1998).

This is not to say that any significant change will happen simply through creation of an

indicator, but the point is there is a socio-communicative function of indicators which

complements their technical measurement function. For example, in their case study on

establishing SDI on the Island of Guernsey, McAlpine & Bernie (2005) found it was only once

an indicator system was up and running that people became interested and begin engaging with

the issues in a significant and effective way. This ‗indication of value through measurement‘ is

of course enhanced or constrained depending on the contextual relevance of indicators and how

effectively it is communicated.

The potential for communication to be effective is also strongly linked to the participatory

aspect of indicators. Indicators need to carry emotional content; people need to care about them

if they are to be effective (Fraser et al., 2006; Bell & Morse, 2008). Sending out messages

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28

about indicators with little relevance to the audience is bound to be ineffective. The

relationship between participation in indicator development and the communication of those

indicators may be one of positive feedback – the more communities/stakeholders participate in

creating the indicators, the more likely they are to respond to them. ―The methods used to

collect, interpret and display data must be easily and effectively used by local communities so

all stakeholders can participate in the process.‖ (Fraser et al., 2006: 115)

It is also important to choose which indicators should be communicated. A city or region may

develop a large number of SDI, sometimes over a hundred. Trying to distribute/communicate

data from a too-large number of indicators carries costs, resulting in a loss of efficiency and

clarity (Hardi & Zdan, 1997; Bell & Morse, 2003). However, aggregating indicators through

indexes or integrating them visually requires simplification and loss of information that also

carries risks, especially if the larger, full set of indicators is not made accessible. A decision

needs to be made about this trade off, and about which method is the most appropriate for

which audiences (Figure 9).

There are two ways to simplify indicators in this way: visual and numerical (Olsson et al.,

2004). Visual integration of SDI refers simply to displaying indicators in a visual

communication design. A smaller number of key or headline indicators are often used. Some

examples of visual integration are:

Headline/Key Indicator Selection means selecting a group or groups of fewer, selected

indicators so that different groups who may be the target of SDI, e.g. politicians or the public,

are not overwhelmed with information. These are usually referred to as ‗headline‘ or ‗key

indicators.

Sustainability Reports in which a limited sample of is individual indicators published. In this

sense the sustainability report itself is a visual integration which simplifies diverse data. These

can be static publications, virtual and interactive sites, or real-time databases (usually used for

‗in-house‘ operations).

Figure 9. Three methods of visual integration for SDI. Clockwise from top left: ‘Dashboard of Sustainability’ (IISD, 2007); AMOEBA indicator chart (Adapted from Bell & Morse, 2008); ‘Integrated Sustainability Framework Atlas’ (Insight East, 2012) (Images approved for public use.)

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29

Dashboard of Sustainability (figure 10) (see IISD, 2002; Scipioni et al., 2008), a visual

grouping together of ad-hoc indicators in different domains such as Environment, Economy

and Society. The official ‗Dashboard of Sustainability‘ also uses (relatively simple)

mathematical techniques to normalise indicators to make them comparable, e.g. on a scale of

0.0-1.0. However, simply displaying indicators and their status together in a ‗cockpit‘ style

board of indicators may also work in terms of simplification, so long as their status is

represented using common system so that values are comparable/analytically equivalent (e.g.

, and representing good change, bad change, and no change.) On the other hand, it is

important to note that such normative labels (good, bad, etc.) are political, and do not

necessarily correspond to SD values/goals that should be measured in a hard scale like a

percentage.

AMOEBA charts (Figure 10, middle). Originally invented as a simple way to represent

numerous, relatively complex ecosystem indicators while maintaining a holistic view. Able to

visually integrate larger numbers of indicators in an intuitive way (see Bell & Morse, (2003)

and Bell & Morse (2008) for application in SDI work).

GIS Mapping of SDI in which indicators can be integrated with maps, as in the UK ‗Regional

Interactive Sustainability Atlas‘ (Lindley, 2001) and the ‗Integrated Sustainability Framework

Atlas‘ (www.insighteast.org) developed for East England in the UK. These are complicated to

make and thus costly, however can provide an excellent visual guide and have in some cases

been integrated with modelling and forecasts (see www.insighteast.org).

Essentially all the examples of visual integration above use headline indicators (HI). This type

of selective simplification is popular because of ―the perception that robust core sets of

measures are easier to understand, and they help track progress (or lack of it) towards selected

policy goals. It also reflects an understanding that working with a long list of indicators can be

counterproductive, as in all-inclusive indicator sets real priorities tend to be lost‖ (Pintér et al.,

2005: 7).

However, there is a need for caution when selecting and using HI because, as Pintér et al. (ibid)

argue, ‗whether HI represent sustainable development priorities or not depends on their

relationship with any declared sustainability objectives and a more rigorous underlying

conceptual framework. HI may simply be constructed around political priorities, whether they

reflect sustainability considerations or not.‘ This can be quite misleading, focusing on current

issues dominating political discourse and obscuring significant issues influencing future

sustainability. One way around this is to ensure ‗inconvenient‘ or politically unattractive

indicators are represented sided by side with others.

On the other hand, numerical integration of SDI refers to integrating many indicators into an

index or indices. An index is an aggregation of many indicators into one (see Mori &

Christodoulou (2012) or Sing et al. (2012) for a comprehensive review of current indices) in

order to simplify communication and comparison between e.g. regions or countries. There are

risks in creating indices, however. An index which says ―sustainability = 24‖ risks painting an

opaque and inaccessible picture of complex issues. Such indexes can also require a huge

amount of mathematical manipulation to calculate which leads to questionable results as in

Yale & Columbia Universities‘ ambitious and well known Environmental Sustainability Index

(Bell & Morse, 2008). However, some of index examples are:HDI is the UN‘s Human

Development Index (HDI) which combines life expectancy, education and Gross National

Income (GNI) adjusted for inequality between countries (UNDP, 2011).

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Ecological Footprint is well known for its use by the WWF in its annual Living Planet Report,

ecological footprint measures the demand of humanity on Earth‘s natural capital by calculating

the amount of land needed to support a given country or activity with primary produce such as

crops fisheries, etc.

GDP is the aggregation of a country‘s economic activity over time into one value. Measuring

GDP is a classic and now often derided (see Daly, 1977; van den Bergh, 2007) example of a

highly aggregated indicator used to measure the (economic) development of regions over time.

Its simplicity and usefulness as an index for comparisons between countries made it an

extremely popular indicator. But it largely fails to convey important information such as

income distribution or human wellbeing. It communicates that economic growth is happening

but not how it is happening. Natural disasters and car accidents can increase GDP just as easily

as manufacturing or building infrastructure can.

The GDP example illustrates the need to be able to move up and down the hierarchy within a

system of information – from the highest aggregated indicators which address macro level

questions, down to those indicators at the bottom, measuring localised phenomena (Meadows,

1998). The less this hierarchy is visible and accessible, the less legitimate/useful the

information system or model is as a reflection of empirical reality (ibid).

6. Case Study: Falun Municipality, Sweden

6.1. Chapter Overview

In this chapter I first give a brief introduction to the Swedish context. Municipality

sustainability characterised in Sweden as an ongoing experiment in ecological modernisation,

and is largely the domain of experts. This is followed by an introduction to Falun Municipality

itself. In the rest of the chapter I apply the analytical framework of five focus areas - Vision,

Framework, Selection of Indicators, Stakeholder Participation and Communication - to the

municipality‘s use of indicators in their sustainable development programs.

6.2. The Swedish Context: Sustainable development as

ecological modernisation by experts

Sweden has for some time been seen as a global leader in implementing sustainable

development (OECD, 1996; Jordan & Lenschow, 2008; Statistics Sweden, 2012c). It continues

to be at the forefront of sustainability at the local level (Naturvårdsveket, 2007). In the early

nineties many Swedish municipalities were among the first internationally to adopt Agenda 21

principles; writing them into policy and strategy, developing new training for employees,

adapting in house practices to environmental concerns, and numerous other activities to ensure

the maintenance of Local Agenda 21 over the long term (Rowe & Fudge, 2003).

It was also apparent among citizens that Agenda 21 principles were in general worth adopting,

and that people‘s ways of living needed to change (ibid). Today there has generally been a

slowdown in the cutting edge work being done by Swedish Municipalities, and Sweden‘s

status as a leader here is not what it used to be (Naturvårdsverket, 2007). This is not so

surprising, however, as Sweden‘s relatively early decision to take the initiative with SD work

means much of the ‗low-hanging fruit‘ has already been picked. Agenda 21 funding from the

national government has also significantly dried up over the last couple of decades. Making

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31

progress today is thus generally more challenging. The reasons for the ‗slowdown‘ are

however a little more complex than that.

In the early nineties the Swedish national government began developing a strategy for

sustainable development (see Swedish Government, 1996) which acknowledged the need for

change from the ‗business as usual‘ exploitation of nature. It acknowledged that natural capital

could not go on being be degraded or costs continue to be externalised to the environment

without serious consequences for humanity. The proposed way forward was through work

within a framework of ‗ecological modernisation‘ which featured attention to the role of

technology, the state and the market, and also included relatively new acknowledgement of the

need for cultural and institutional change (Fudge & Rowe, 2001).

As ecological modernisation develops environmental and sustainability problems tend to

increasingly be expressed in policy at national level as areas for preventative social, technical

and economic reform, to be implemented through decentralised governmental efforts with

increased attention to the market and economic actors (ibid). This process is reflected in

Sweden‘s national Sustainable Development Strategy (Swedish Government, 2003; Swedish

Government, 2005). However cultural and institutional change within municipalities has been

difficult to realise for reasons I will discuss, and this is crucial as municipalities are arguably

the most powerful decentralised points of decision-making in Sweden.

Figure 10. Map of Sweden and the Baltic Sea with Falun marked in Red

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32

Fudge and Rowe (2001) argue that this is due at least in part to a ―deeply conservative, expert-

led `silo' culture still evident throughout governmental departments, agencies, and

municipalities‖. In fact several studies point to the potential negative effects of this high level

of ‗expertisation‘ of sustainable development in Sweden (see Fudge & Rowe, 2001; Rowe &

Fudge, 2003; Bretzer et al., 2006; Mineur, 2007). Broadly, the authors argue that while

progress is being made towards SD, the positioning of SD questions as the domain of experts

may be serving to: 1) stifle necessary creative thinking about SD problems; 2) lead to an overly

technical orientation to SD issues which tends to reduce the social issues and visions of the

future; and 3) exclude stakeholder involvement in the development and implementation of SD

policy and strategy, which comes at the expense of stakeholder engagement necessary to enact

change.

Furthermore, Eckerberg & Mineur (2003) studied the attempts in Swedish cities – Stockholm

and Sundsvall – to include stakeholders in the cities‘ well established and comprehensive SDI.

They concluded that the democratic/participatory aspect of SDI design and use was largely

symbolic, and that both cities were still finding it difficult to implement SD in terms of citizen

participation despite officially expressing interest and starting some ongoing efforts.

In an in-depth study of indicator systems in three Swedish Municipalities, Stockholm,

Sundsvall and Växjo, Mineur (2007) found that stakeholder participation was often

interpreted as simply ‗informing stakeholders and inviting them to meetings‘. The study also

found there was also common concern among municipal-level politicians that using

participatory methods in indicator processes were contradictory to principles of

representative democracy. It was also found that efficiency-driven indicator systems created

by experts and which contained less ‗soft‘ indicators were much more likely to be

implemented. This was because of a broad emphasis in Municipal governments on efficiency

over participation, and that politicians‘ trust in expert knowledge was high (ibid).

The degree to which effective stakeholder participation in sustainable development for

municipalities is desirable is still very much an open question in the literature. And it is

evident in the case studies I just cited that these cities have achieved much in terms of SD,

despite difficulties with managing stakeholder participation.

The National Government has also directly funded sustainability work through large scale

National programs such the Local Investment Program (LIP) and the Climate Investment

Program (KlimP). These have been instrumental in driving SD project work at the municipal

level (Eckerberg et al, 2005; Naturvårdsverket, 2007). This has had a massive impact, seeing

billions of Swedish Kronor spent on SD related work. Interestingly, it also may have helped

engender what Mineur (2007) found to be a common perception among municipal decision-

makers: that sustainable development is achieved through project work, rather than as a

continuous process to be managed over time as part of general operations.

This is significant as it can be argued that the institutional, structural, economic, etc. changes

SD requires are only achievable, or at least much more likely to be reached, with attention to

the latter, longer term approach (see for example AtKisson, 2010). The national strategy

(Swedish Government, 2005) provides a broad and more comprehensive vision (beyond

project work), however the independence and political strength of the municipalities means

their own long term visions for SD are crucial.

The independence of municipalities in Sweden has historically been strong. Regional level

counties in Sweden are more of an administrative entity than an extra level of government

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33

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34

(although the county-level is still highly influential in e.g. regional planning), with a great

number of important powers divulged to the municipalities (kommuna) themselves. Around

two thirds of the average individuals‘ tax payment goes to their municipal government

(Statistics Sweden, 2012a), giving the municipalities a strong economic role at the local level.

Swedish municipalities certainly have the legal authority required to carry out sustainable

development work and many also have the economic resources and even political support to do

so,but what is often lacking in Sweden‘s (and the world‘s) municipalities is the capacity to ‗do‘

sustainable development. And, as the critique of expertisation implies, there are serious

questions over what the nature of this capacity should be.

Fudge & Rowe argued a decade ago that ‗individual well-informed officers and activists within

municipal councils, agencies, nongovernmental organisations, and the professions seem unable

to catalyse the conceptual shift which is required‘ (2001:1534) to move Sweden towards

achieving the lofty goals of ecological modernisation expressed in national strategies. Today

the gap between broad, holistic policy goals and the reality of what is achievable through

implementation at local level by experts is an ongoing tension (Bretzer et al., 2006; Mineur,

2007) this is by no means a Swedish phenomenon and in part reflects a larger ambiguity over

what exactly constitutes SD, and effective practice in SD work, in municipalities and cities

internationally.

Nevertheless, there remains a positive effort from municipal governments to continue working

towards sustainability goals in a transparent and effective way. And while the critique of

expertisation is a serious one, it can be argued that there are significant benefits to a relatively

expert oriented, technical approach to SD. Monitoring and reporting with indicators is

increasingly rigorous and, as with most official information in Sweden, tends to be highly

transparent and accessible to the public. New initiatives are regularly enacted to improve the

level of professional standards in the sustainability sector. For example, a Swedish ‗guidance

standard for sustainable development‘ for the local and regional level is now under

development at the Swedish Standards Institute (SKL, 2009a), in which 19 businesses,

university and government stakeholders are so far participating.

A survey taken in 2006 showed over 60% of municipality authorities in Sweden are carrying

out environmental reporting (SALAR, 2009) and some have expanded beyond environmental

reporting and into environmental accounting and EcoBudgeting (see ICLEI, UN-HABITAT &

UNEP, 2008). Reporting varies in scope and design, with some municipalities presenting

reports as in line with Agenda 21 goals, national environmental goals, or with the

municipality‘s own operational objectives (ibid). Most municipalities communicate their work

in published annual reports with varying designs and depth, ranging from inclusion of a small

number of environmental indicators to full environmental accounting alongside municipal

budgeting, e.g. in Växjö Municipality (Växjö, 2012). Some municipalities also have

interactive ‗sustainability barometer‘ (hållbaretsbarometer) websites, with detailed

information available online, such as those presented by Lund and Stockholm.

6.3. Falun Municipality

Falun is the capital of Dalarna County (Dalarnas län) in central Sweden. The city and its

surrounding municipality lies north of Stockholm with a population of about 60 000, in a

country of nine million. It has a unique environmental and economic history. It is well known

for its copper mine, the Great Copper Mountain (Stora Kopparberg), which is UNESCO

World Heritage listed and at one point supplied two thirds of the world‘s copper (Lindeström,

2002). Operating the mine was devastating for the region‘s environment, but produced a huge

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amount of wealth. It spewed sulphur-filled smoke into the sky in a column seen for miles and

left huge piles of black mining waste lining the city‘s roads. It caused what may be the first

cases of anthropogenic lake acidification ever recorded worldwide (Ek & Renberg, 2001).

People walking the town‘s streets needed to hold burning torches to be able to see in the

daytime, and no vegetation grew for 10km around the city limits (Lindeström, 2002). At the

same time, the mine was injecting immense riches into Sweden‘s national treasury and

provided much of the wealth for Sweden‘s in its rise as a great power in the 17th

Century,

including various wars (ibid). When the mine eventually closed in 1992, the company which

had been operating it was said to be the oldest company in the world.

Today the landscape has largely ‗recovered‘, and the only visible sign of this bleak part of its

history is the mine itself, now a museum which reportedly sees about 100,000 visitors per year.

The landscape is a forest, lake and mountain-filled area which attracts domestic tourism and

contains many protected sites. Of course remnants of the area‘s industrial past can be found.

For example, the city‘s commitment to contamination-related monitoring are more stringent

than the law requires, in some part due to a history of dealing with contaminants. And as with

so many ex-mining towns, there is a strong political and economic sensitivity over population

numbers, jobs and ‗staying on the map‘– although these are of course concerns for all cities,

especially smaller cities.

Neighbouring Borlänge also has a population of about 60 000 and the two are so close

together (18km between them) they have coordinated in many areas and have shared aspects of

comprehensive planning since 1995. There is a trend towards collaboration suggesting the two

cities may in future see a more harmonised government and administrative configuration in

some areas, including sustainable development planning. Both cities have experienced the

difficulty of the slow but steady socio-economic drift to the south of the country and have been

consistently under pressure to keep residents and jobs local (Fudge & Rowe, 2001). Poor air

quality due to traffic has been an ongoing issue for both cities due in part to topography – the

municipalities lie in a slightly low part of the region. Falun has recently seen success in

implementing creative and integrated ideas for increasing public transport use.

Falun was among the Swedish municipalities which adopted local agenda 21 goals in the early

1990s. From 1992 the municipality began officially reporting on its Local Agenda 21 efforts.

In 2005 Agenda 21 reporting was replaced with the annual Sustainable Development Report,

and today Falun continues to carry out Local Agenda 21-related work under its environmental,

economic and public health programs. The municipality has for some time now given

Figure 11. Falun City Centre, 2012

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important recognition at the political level to the difference between development as a

qualitative concept and development as a quantitative concept, and the benefits of favouring

the former (Fudge and Rowe, 2003). This has been challenging to implement in practice, but

reflects a generally positive view towards integrating environment and sustainability issues into

general municipal operations and domains. Falun spends a high amount per capita on

‗environmental health and sustainable development activities beyond just regulation‘ relative

to other Swedish Municipalities (Statistics Sweden, 2012b), consistently ranking in the top

25% of municipalities since 1999.

6.4. The Role of Indicators

The municipality government and administration uses indicators for monitoring and reporting

on work carried out within its general operations. In this study I refer specifically to

indicators used within the municipality‘s three programs for sustainable development

(officially labelled as such); the Growth, Environment and Public Health programs. Falun‘s

SDI have four main roles:

For monitoring. Falun‘s SDI are used to monitor progress towards the roughly 150

goals in the three programs. For example, the indicator ‗number of heart attacks‘ shows

progress towards the goal of ‗reducing heart attacks by 10%‘, which is listed under the

sub-goal ‗a more health-promoting health and medical service‘ in the Public Health

program (Falun Municipality, 2007b). Another example is the indicator ‗proportion of

urban population with green space within 300 metres from home‘ listed under the sub-

goal ‗good built environment‘ in the environmental program (Falun Municipality,

2007a). Success is measured by the indicator, in this case the number of heart attacks or

number of people with access to green space. The relevant department or actors must

come up with work activities which are meant to achieve the goals, and indicators are

used to measure results (Interview 1).

For use in decision making. Falun‘s SDI are intended to be used by strategists,

politicians and municipal staff when planning and making decisions. The complexity of

using a large number of diverse indicators means that head strategists within the

programs are likely to be the only ones who have the ‗complete picture‘ and are thus

responsible for interpreting and communicating the holistic picture of SD for politicians

and municipal staff (Interview 5, Interview 6).

Figure 12. Lake Främby, Falun, 2012

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For use in official reporting. Falun‘s SDI are published in various internal and external

municipal communications efforts. Indicators appear in official reporting including

annual SD reports and are used to also used in creating progress reports for the three

programs (e.g. Falun Municipality, 2012) to show that the Municipality is taking such

actions.

As a way of communicating information in order to increase stakeholders’ awareness

or understanding of issues. Indicators often stimulate curiosity about what is ‗going on

behind them‘ when presented to politicians (Interview 6). In the same way they also can

raise new issues for discussions and planning within the municipality administration

(Interview 4, Interview 5, Interview 6). Falun‘s indicators are communicated to the

public, media, business, industry, etc. almost exclusively through annual reports

(Interview 6)., PDF files made available on the website, and in print available from the

municipality on request

6.5. Falun’s Sustainable Development Indicators

The municipality uses over 100 indicators in its SD monitoring efforts. They are presented

below. To give context to this number of indicators, the Swedish cities of Sundsvall, Växjö,

and Stockholm, with populations of 50 000, 80 000 and 870 000 respectively, all use under 40

indicators to monitor SD (Mineur, 2007). However, this risks an unfair comparison and some

clarification is needed. These cities do in fact use more than 40 indicators in their general

operations, but they all use under 40 to measure sustainable development goals. The difference

is that in Falun there has been no significant distinction made between which goals and

indicators are an important for SD and those that are less so. Thus, all goals and indicators in

the three very wide programs are by default part of achieving SD.

Tables 4, 5 and 6 show indicators listed by program, and grouped under broad sub-goals

(delmål). The specific goals of each program have been omitted from the tables due to space

restrictions. For a visual representation of the programs‘ hierarchical structure, see figure 13.

The growth program uses few indicators, with most of its goals not clearly connected to

indicators.

6.6. Vision

Question for assessing effectiveness #1: Does the organisation have a defined vision of SD

with clearly connected goals supporting it?

The municipality uses what is basically the Brundtland Report‘s (WCED, 1987) definition of

sustainable development: development that meet the needs of the present without

compromising the ability of future generations to meet their own needs; ―A future in which

economic growth does not come at the expense of health and the environment‖ (Falun.se,

2012). The intention is that this will be achieved through work towards the 150 or so goals in

the three SD programs, and is to be done with attention to the interdependency of the

economic, social and environmental (Falun Municipality, 2011). Some of the sub-goals in each

program do suggest a future state towards which work is directed, e.g. ‗healthy and safe

environments and products‘ (Falun Municipality, 2007b). However, the indicators being

monitored are very diverse, and it is often not necessarily clear how they are connected to SD

goals.

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Table 3. Falun's 'Public Health Program' subgoals and indicators.

Publ ic Health (Folkhälsa) Progam

Sub-Goal Indicators

Overall Progress [no indicators ]

Participation and influence Voters in Municipa l Elections

Equal i ty Index

number of Civi l Society Actors

Economic and social security Individuals needing Financia l ass is tance

% of fami l ies with chi ldren: low-income s ingle

% of fami l ies with chi ldren: low-income other

% pens ioner fami l ies : low income

% s ick leave and activi ty leave

Unemployed 20 -24 year olds

Unemployed people in a program with activi ty support 20 -64 years

Unemployed 20- 64 year olds

Number of Jobs in Fa lun

The percentage of profess ionals who are foreign born

Increased Physical Activity How do young people feel?

Healthier working life Incapaci ty rate in women

Incapaci ty rate in men% 20-64 year old women with psychologica l disorders due to work

environment (county-level data)% 20-64 year old men with psychologica l disorders due to work

environment (county-level data)

Healthy & safe environments and products [This indicator l i s ted in the Environmental Program]

[This indicator l i s ted in the Environmental Program]

[This indicator l i s ted in the Environmental Program]

Appointed " Al lergianpassad Municipa l i ty "

[This indicator l i s ted in the Environmental Program]

[This indicator l i s ted in the Environmental Program]

[This indicator l i s ted in the Environmental Program]

[This indicator l i s ted in the Environmental Program]

More health-promoting medical care Number of heart attacks

Number FYSSordinationer (Including exercise on prescription)

Effective protection against spread of disease % of chi ld vaccinations

Safe Sexuality and good reproductive health Cases of Gonorrhea (county level data)

Cases of HIV (county level data)

Cases of Chlamydia (county level data)

Cases of Chlamydia (Fa lun)

Number of abortions

Increased Physical Activity % of people phys ica l ly active 30 min/day

(access to parks - see environmental program)

Good eating habits & safe food % with diabetes

% with obese BMI 30 and over

% with underweight BMI 18.4 and under

Morta l i ty from ischemic heart disease (Myocardia l infarction) per 10,000

Reduced tobacco and alcohol; free of illicit

drugs, doping, excessive gambling. % of smokers in Grade 9

%of inhabitants who smoke dai ly

% who use snus (mouth tobacco)

% with non hazardous a lcohol habits

% with ri sky hazardous a lcohol habits

% expecting mothers who smoke

Safe and good childhood conditions How do young people feel?

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39

Envi

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on

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(kg

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ese

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ron

me

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(nu

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s PM

10 (

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tura

200

0: l

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e)

De

velo

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alk

ing

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tes

(Km

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atur

al A

cidi

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tion

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xid

es

(to

ns

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Gro

undw

ater

Qua

lity

The

pro

po

rtio

n P

rote

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Re

gula

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mp

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la

kes

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ving

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land

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etl

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ds

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h D

iver

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ts &

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life

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ture

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nim

al

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lan

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nvir

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nsp

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of

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c fr

om

Fa

lun

to

Ru

nn

(to

ns

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0 w

etl

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d

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l re

serv

e

Un

sort

ed

am

ou

nts

of

ha

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s w

ast

e (

ton

ne

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tal

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tura

200

0

Sust

aina

ble

Fore

sts

Na

ture

re

serv

es,

fo

rest

Prot

ecti

on o

f O

zone

Lay

er[n

o in

dica

tors

]H

ab

ita

t

Pro

tect

ion

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ee

me

nts

Na

tura

200

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rest

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tio

na

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l, w

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dla

nd

(n

um

be

r)

Tab

le 4

. F

alu

n's

'E

nv

iro

nm

en

tal P

rog

ram

' su

bg

oals

an

d in

dic

ato

rs.

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40

Growth/Economy Ti l lväxt. Program

Indicators

TO WORK IN FALUN

Business development Number of new bus inesses opening per year

Population

Unemployment rate

Total Retai l sa les in SEK

Competence and Skills Total Jobs

Bus iness Cl imate- number of bus iness in contact with the kommun

Number of new hous ing constructions – houses

Number of new hous ing constructions – apartments

Media Number of people commuting

Number of s tudents at region's technica l col lege (Högskolan Dalarna)

TO LIVE AND EXPERIENCE FALUN

Life Environment - the Creative City

Culture

Sport

Tourism Industry

FALUN- COMING AND GOING

Brand Name

Connecting to the World

Communications

Sub-Goal (delmål)

Table 5. Falun's 'Growth Program' subgoals and indicators. (Please note: indicators are not formally grouped under subgoals as they are in the other programs, and relatively few are used)

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In interviews strategists expressed a perception that the sustainable development vision was

vague and that this was problematic for both integrated work across programs and work within

programs (Interview 5, Interview 6, Interview 7). For example the Growth Program which is,

at least officially, part of overall sustainable development, has carried out participatory

processes with community stakeholders every few years. Each time, the outcome of the process

is used to shape the goals and indicators in the Growth program. However, not having a future

vision for SD - and for the Growth Program itself - contributed to an ‗unfocused‘ output which

did not take a long term perspective (Interview 5). A new initiative towards creating an overall

vision for the municipality‘s future development (not just for SD) is to be started late 2012,

although it was not clear during my research how SD will be approached in establishing this

vision.

As will be shown later, the three SD programs and their content are the result of a rather

disjointed history. The piecemeal way Falun‘s three SD programs have been put together has

contributed to the current use of the rather conventional ‗default‘ definition of SD and the

absence of a strong vision. However, as one Municipality strategist said ―in an ideal world, you

create the vision and then goals and indicators but we can‘t do that, everything is moving at the

same time‖ (interview with environmental strategist, 10 May, 2012). In other words, there is no

‗clean slate‘ on which to place an SD strategy and develop ideal indicators. The political and

operational reality is messy. However, the result is that the municipality has not created a

sustainable development vision and selected goals and indicators specifically for achieving it.

Although in fact such a process was begun in 2005 and never finished, being cancelled before

completion due to budgetary constraints (personal communication with environmental

strategist, December, 2012).

6.7. Framework

Question for assessing effectiveness #2: Is the choice of framework suited to achieving the SD

goals, and ultimately the vision?

The Municipality has used a domain-based framework to structure its SD program. This

framework is the formative structure for the municipality‘s SD related policy and goal-oriented

activities. The framework splits planning and policy work into three programs: Folkhälsa

(Public Health), Tillväxt (Economic Growth), and Miljö (Environment). These roughly mirror

the conventional ‗three pillars‘ of Sustainable Development, giving attention to the social,

economic, and environmental. This three pillar framework is a commonly used framework for

approaching sustainability in theory and practice. Work towards SD carried out by the

Municipality predominantly falls under one of three major programs (see Figure 11).

Municipality employees are then responsible for creating and carrying out action towards these

sub goals and goals, and indicators measure progress towards them.

The programs are hierarchically structured. Under each of the three programs is a list of broad

sub-goals (delmål), for example ‗toxin-free environment‘ or ‗economic and social security‘.

Grouped under each sub-goal are specific goals (måler), some of which are quantified, e.g.

‗reduction of carbon emissions by 60%‘, and some of which are simply a description of a

desired trend, e.g. ‗the percentage of people voting should increase by 2013‘. Indicators have

been selected for most of these specific goals in order to show progress towards them (some

goals do not have corresponding indicators because indicators were not or could not be

selected during the selection process for various reasons, e.g. lack of data gathering capacity).

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The three programs‘ different development histories mean that goals and indicators were not

designed together but rather grouped together into a framework. This configuration allows for

clear measurement towards goals, but creates some problems too. The ‗domain-based‘

framework (discussed in section 5.4) has certain weaknesses, some of which are reflected in

Falun‘s sustainability monitoring efforts. First the goals and indicators have been formed to fit

the three domains (see Figure 14), between which no explicit causal links have been expressed.

Second, although much of the three programs‘ content is indeed linked to SD, these links are

thus not formally expressed in the structure in Figure 14. The link to SD is also often not clear

in practice, according to feedback from actors working within the programs (Interview 3,

Interview 5, Interview 6). For example, the sub goals ‗a good built environment‘, under the

Environment Program, or ‗economic and social security‘, under the Public Health Program, are

areas with important links to sustainable development. However, within the current framework

it is not explicit how they fit into a vision for sustainable development. This stems in part from

the fact that the framework was not used in creating the programs. They were not initially

designed as ‗three parts of a whole‘. Rather, as is covered in Section 6.9, the programs were

created at different times by different actors before being grouped together under a SD

framework for the Municipality‘s SD planning & policy, and monitoring & reporting activities.

6.8. Indicator Selection

Question for assessing effectiveness #3: Are indicators chosen with a particular approach or

method shaped by systems-approach principles of sustainable development?

Multidimensionality, Causal & Dynamic Modelling

The majority of Falun‘s indicators meet multiple criteria listed in Table 1 (Section 3.4.) and are

highly suitable as SD indicators. Taken as a whole, indicators for the three programs address

multiple dimensions of SD in that they measure the social, environmental and economic. Some

individual indicators are relevant to more than one area, and in some cases are presented as

Figure 13. Structure of Falun Municipality SD Programs and Indicator Monitoring

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such e.g. when presented in the annual SD Report Utveckling i Falun (Falun Municipality,

2011) or in the official program action plans. However,

However, SDI have been selected by actors focused only on a specific program and as a result

were not designed to address the important criteria (see Table 1) of ‗integration/

multidimensionality‘. The goals and indicators of the Environment Program, for example, are

based on Sweden‘s 16 Environmental Quality Objectives (see Swedish Government, 2004), but

do not come with any ready-made links to other domains of SD relevant to the local context in

Falun. The goals of the Growth Program come from stakeholder meetings focused purely on

the objectives of Falun‘s economic future. And the numerous goals and indicators of the Public

Health Program are similarly lacking integration with other domains.

Strategists and municipal staff expressed this issue in interviews. There was a general

awareness that problems were not usually approached in an ‗integrated‘ way. All interviewees

expressed a perception that an integrated, holistic approach to problems is what sustainable

development requires. However it was also recognised that many barriers existed in terms of

time, resources and capability (Interview 3, Interview 5, Interview 6, Interview 7).

Interviewees also often expressed that they perceived value in having clearer links between

programs (or domains/ dimensions of SD). For example, one interviewee (Interview 3) said

that he often worked towards his goals with the assumption of links between the municipality‘s

environmental goals and economic goals. He said these links were not mapped, however. If

they were, it would allow him to better show in what ways his area, Nature Protection, was

valuable economically.

However, the ‗separateness‘ of the programs was not necessarily seen as a limitation and was

in some cases considered an efficient way of working. Having to deal with the content of the

other programs would involve too much administrative work, and it was better to actually ‗get

things done‘ rather than spend excessive amounts of time ―discussing all the links to other

programs‖ (Interview 5).

So the current goals and indicators are designed to monitor dimensions of SD separately. No

overarching, integrated SD principles or framework has been used in creating the indicators, or

goals. The interactions between the social, economic and environmental domains are

predominantly assumed or implied, not explicit. Actors are however still taking actions and

decisions based on assumptions about these interactions. Part of the reason no particular

approach or method has been used to create SD goals and SDI may be the history of the

programs, discussed in Section 6.9 below.

’Comparability’

While the municipality is not part of any ‗common indicator‘ network or project within

Sweden or the EU, some of Falun‘s SDI are used or are suitable for use in benchmarking and

comparison. The Environmental program indicators are already used in benchmarking and

comparison activities, due to their adherence to the National Environmental Objectives (see

Naturvårdsverket, 2008). The majority of other Swedish municipalities also monitor these

same areas. In fact, in many specific areas such as energy or economy, good data on other

municipalities is available to municipality staff for comparison. The Public Health Program

likewise contains some goals and indicators suited to benchmarking, e.g. national policy

priorities like ‗delivering improved health care‘. The Economic Growth program also monitors

many commonly used indicators, e.g. employment and population growth. However it also

contains many regionally specific goals with ‗weak‘ indicators which are either not well

monitored or not easy to collect data for, or both (Interview 5).

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Some comparison appears in the municipality‘s annual sustainability report. For example, the

report shows the ‗equality index‘ which measures disparity between men and women in a

number of areas such as income. Falun‘s position is shown relative to national statistics.

Several other indicators are also shown relative to the national average. This type of

comparison is a useful indicator to judge progress, and Falun performs reasonably well in each

category.

However, it is important to note that indicators measure progress of goals within the three

programs, but these programs contain over 100 goals and indicators, and a distinction is not

made between those indicators important for SD and those reflecting simply operational or

political objectives. In other words the municipality has not enacted benchmarking or

comparison with other municipalities, regions, etc. for a range of indicators specifically

selected to measure SD. Although, some indicators those tied to the Swedish Environmental

Quality Objectives are included in national comparisons already.

6.9. Stakeholder Participation

Question for assessing effectiveness #4: Are indicators chosen based on input from a broad

base of stakeholders?

As happens in most Swedish Cities to some degree (Naturvårdsveket, 2007), Falun

Municipality‘s SD efforts are developed based on local, regional and national goals. The

current goals and indicators in the programs have thus emerged from a mixture of locally-

specific and nationally standardised policy. The programs were assembled at different times by

different actors working at different levels, as shown in Figure 15 below. Decisions on the

content of the environmental and health programs can be characterised as ‗expert driven‘ with

some input from other stakeholders, whereas goals and indicators for the economic program

have been generated with input from expert and non-expert stakeholders though a regularly

occurring series of participatory processes.

In 2004 a facilitated meeting that included regional and local actors was carried out for the

Public Health Program. Here the main question facing participants was ‗which actions can we

take towards meeting the public health program goals?‘. In 2002 stakeholders gave input

through a similar meeting during a review of the Environmental program, which was ongoing

as part of a proposed ‗Sustainability Strategy‘. However, this strategy was not carried through

to completion (due to ‗a lack of resources‘) and it is unclear how much of this stakeholder

input was used in the environmental program. Other input from various industry and public

stakeholders is taken on board in informal ways by strategists and municipal employees

engaged in work within the three programs (interview 7).

The history of the programs in terms of how their content was assembled was difficult to trace.

However, according to interviewees (Interview 1, Interview 3, Interview 5, Interview 6) there

has been no formal attempt to establish indicators specifically for SD with input from a broad

base of stakeholders, or from municipal employees in the different programs collectively.

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The Environmental Program is structured around Sweden‘s 16 ‗National Environmental

Objectives‘ (Naturvårdsverket, 2008), which are comprehensive and for the most part demand

indicators for which data is readily available. One way stakeholders external to the

Municipality, i.e. not politicians or municipality staff have input into goals and indicators is

through ‗informal‘ contact with strategists. As described already, here has been effort to

include input from stakeholders (as opposed to just the municipality). At the same time it is

clear the national goals largely provide the structure for the program. (A review of the

environmental program is at the time of writing of this thesis is currently underway, and is due

to be completed in the first quarter of 2013).

The Public Health Program‘s sub goals, goals and indicators have been selected by regional

and local experts, subject to review and approval by Falun‘s Municipal Health Board on which

local experts sit. Some of the goals are taken standardised at the national level. This may be

because of the expert-driven nature of public health issues. However, a formal process which

included input from a broad base of stakeholders was carried out in 2004. This process was a

meeting of representatives from private, public and civil society various organisations and

sectors. The purpose of the meeting was to discuss actions that could be taken towards

achieving the program goals. This was intended to be input for the Action Plan for the Public

Health Program (Folkhälsa lokal åtgärdsplan) (Falun Municipality, 2007b). The overall

structure of program goals was built on work done at the national and regional level and

experts at local level then made additions to these.

The Growth Program was originally created to address concerns and fears about the economic

future of the region after the military ceased operations Falun in 2001. The goals and indicators

have been revised several times since then, once in 2005 and once in 2010. The Growth

Program is different to the other two in that there has been community stakeholder

involvement in establishing the goals and indicators, including input from experts and non-

experts.

Figure 15. The origin of Falun’s SD programs’ goals and indicators. Solid lines indicate direct input/use by decision makers in forming goals and indicators. Dotted line indicates indirect input from public consultation that was formally included but not able to be linked to specific goals and indicators.

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The process carried out in 2010 included between 100-200 people and lasted several days. The

purpose of the process was to establish focus areas for the Economic program, not to create

indicators. Many goals were created for which indicators were hard or not possible to establish

(Interview 5). The program goals are thus often not linked to indicators at all. Measurability

was not significant a part of the criteria for goal creation. Thus the stakeholder participation

process produced many ‗hard-to-measure goals‘ which nevertheless were included in the

program plan because ‗people needed to see that their work was used in the end product‘

(Interview 5). In practice, this has meant that the goals are at times ignored in favour of simply

contributing to population growth and job increases. At the same time relevant data, e.g.

economic data, is gathered by various authorities and is available for those working with the

Growth Program.

The goals and indicators in the environmental and health programs are seen by staff from the

Growth Program as being ‗easier to manage‘ in that they tend to have quantifiable, feasible

indicators which are easier to interpret. Strategists gave a strong impression that citizen and

stakeholder participation was seen as having ‗weakened‘ the Growth Program by creating

goals which were difficult to measure (Interview 5). Not surprising, as part of the municipal

strategists‘ job is to provide measurable results to politicians and the public. Thus, ‗default‘

indicators like job growth and population are now being used to ‗fill the gaps‘.

Even in the case of the Growth Program, which has had much input from stakeholder

participation, the focus was on goals, and to a lesser degree indicators, for that program only.

There seems to have been little opportunity to understand the issues behind indictors; the

linkages, relationships, etc. to other domains (environmental, social, economic) which may

have led to a more integrated picture of links between programs.

6.10. Communication Strategy and Visual Design

Question for assessing effectiveness #5: Are indicators clearly represented for and

strategically communicated to target audience(s)?

Indicators from the Growth, Public Health and Environment programs are communicated for

audiences both internal and external to the Municipality Government (here I refer to both the

political and administrative branches of the government together as ‗internal‘ audiences).

For internal audiences, indicators are communicated in meetings in which the audience is

politicians and other Municipality staff, e.g. at meetings of political boards such as the Public

Health Board (Folkhälsorådet). Here again the method is to pick indicators deemed relevant to

the meeting or presentation. It is thus the job of strategists to simplify and ‗translate‘ what they

see as relevant parts of the overall information-rich picture given by the indicators. Indicator

data are also displayed in an internal database available to politicians and administrative

municipality staff. Several interviewees expressed the view that the high number of goals and

indicators may be reducing the accessibility and (and therefore value) of the information for

relevant actors throughout the organisation (Interview 1, Interview 5, Interview 6, Interview 7).

However, they did not suggest a preference for how this should change.

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For external audiences, Falun‘s indicators are presented in annual official sustainable

development reports titled ‗Development in Falun‘ (Utveckling i Falun). These are publicly

available online and in print. The indicators are also can communicated selectively in other

official reports, e.g. annual economic reporting, where needed. The large number (app. 160) of

indicators means that some method of simplification is necessary when communicating the

results. For external audiences, the current method is to pick indicators which are deemed

relevant, important or otherwise necessary. Annual reports carry a small selection of indicators

seen as particularly relevant for that year, the selection of which politicians have final approval

of (see Falun Municipality, 2011).

At present, the visual format used to communicate the indicators is as conventional charts

showing trends over time, with an accompanying statement of whether the trend moves

towards or away from the measured goal. This method is effective for communicating a series

of separate goals, however, communicating more than a small selection of indicators in this

manner becomes complex. The overall picture of sustainable development, or at least progress

within the three domains, is represented through charts of indicators, with references to the

source of the data and descriptions of how the indicator is important.

7. Discussion

For a municipality of around 60 000 residents, Falun‘s current SD efforts are extensive. They

are perceived by many municipal decision makers as an important part of municipal operations

in terms of both funding and recognition in the political process. A great deal of work has been

put into establishing this program and indicators to measure progress over the last decade. This

thesis has looked into how the municipality monitors its overall progress towards sustainable

development through indicators. It has also questioned the effectiveness of indicators as tools

for work towards sustainable development at the local level by looking at five focus areas:

vision, framework, indicator selection, participation and communication. In studying the use of

indicators it was also possible to gain some insights into Falun‘s operations which went beyond

the function of indicators and into overall SD strategy and its implementation.

Falun has established sustainable development as legitimate concept for policy and decision

making within municipal operations. Interviews, a review of official publications including

‗Action Plans‘ (åtgärdsplaner) for the programs, and the municipality‘s work on e.g. traffic

and energy reflected a generally positive attitude towards sustainability. Familiarity with the

Brundtland definition of sustainable development and the basic need to address the ‗three

Figure 14. Example of Falun Municipality’s annual sustainable development reporting.

(image: Falun Municpality, 2011)

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pillars‘ of sustainability (economics, nature, society) is perceived as common knowledge

among municipal employees. Nevertheless, the municipality faces constraints in moving

forward with its stated goal of achieving sustainable development. These are (1) the absence of

a long term vision for sustainable development, (2) an excessive number of indicators labelled

as indicators of sustainable development, (3) a low level of understanding of the relationships

and causal links between dimensions of development (economic, social, environmental,

political, etc.), (4) a highly technical approach to indicator design and use which may be

excluding input from important actors, and (5) challenges in communicating the indicators. I

will elaborate each of these points below.

Vision

Considering the significant resources and time spent on SD work it is significant that the

municipality does have a vision for sustainable development which goes beyond a

conventional Brundtland Report definition referencing, rather vaguely, intergenerational justice

and holism. Visions give decision-makers charged with making sustainability happen the

context for setting goals and selecting indicators that will bring about change. Visions function

as ‗frames of reference‘ for goals, making them relevant; explaining why they are significant.

The absence of a vision for the municipality means that while SD work goes on in a technical

and professional manner in projects, larger or more long term processes of change which could

be guided by a vision are instead not addressed in a formal way at the local level.

Using the Brundtland Report‘s definition of SD to join the social, economic and environmental

allows for a flexibility or adaptability of SD strategy, making it easier to integrate with the

numerous national and regional-level goals, policy and projects. In a changing Swedish and

global landscape of policy and values, being able to adapt can have benefits over locking-in

long-term strategies. But while Sweden‘s national SD strategies can provide guidance, they are

by necessity filled with generality and thus do not address local issues.

As municipalities in Sweden have such a high level of political and economic independence (at

least potentially), lacking a vision is arguably a valuable lost opportunity for taking action at

local level. This vague vision means an easy acceptance of ‗weak sustainability‘ (see Section

2.5), and that the important distinction between ‗weak‘ and ‗strong‘ sustainability is not

actually made explicit. This reduces the amount of ‗heavy lifting‘ the municipality has to do in

working out SD strategy, but can result in a superficial outcome. Rather than choosing

particular areas that are important to Falun‘s local sustainability and long term change, the

current vision allows for a huge range of indicators and goals to be pushed under the umbrella

of ‗sustainability‘ making it a rather empty (or over-full) symbolic term.

Of course, it is one thing to say a vision is necessary for sustainable development. It is quite

another to create a vision that is e.g. inspiring, inclusive, convincing, open to necessary change,

is politically attractive, inspires innovation, etc. while at the same time addresses

sustainability‘s sharp edges, e.g. the inevitable fixation on limits and boundaries, or upending

the narrative of classic economic growth. Here leadership, expertise and indeed courage are

essential, as is communication with the right base of relevant actors and organisations.

The three SD programs and their content are the result of a rather disjointed history. The

piecemeal way Falun‘s three SD programs have been put together has contributed to the

current use of the rather conventional ‗default‘ definition of SD and the absence of a strong

vision. This is consistent with forming goals and indicators under an incremental model of

decision making in sustainability policy (see Hezri & Hasan, 2004) in which diverse decision-

makers proceed with many small changes over time in a ‗bit-by-bit‘ fashion, rather than

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carrying out large changes all at once. While this is perhaps not surprising, it may be leading to

significant costs and putting the overall project of SD in question.

At the time of writing Falun has begun a process leading up to creating a vision. If SD is a

serious goal for the municipality, it is essential that when creating the vision policy makers do

not only consider (highly important) economic conditions, such as competition with other cities

as Sweden‘s population continues to drift to the south of the country, the faltering European

economy, or the potential for new business development. They could also consider a new

vision of a Falun which has the capacity to manage equally real and imminent conditions and

unsustainable practices e.g. chemicals in the urban environment, peak oil, and climate change.

The new vision will also influence the design and use of indicators (and goals). The data and

trends the municipality monitors to show progress towards SD can fundamentally change

depending on how SD is defined. For example, monitoring progress towards a ‗resilient and

sustainable economy‘ is a different proposition to monitoring progress in ‗economic growth‘,

and will require different strategies and information.

Framework

All interviewees in this study had for years been working in an organisational approach to

sustainability which placed economic, social and environmental goals in separate economic,

environmental and social domains; separate programs. However, if the overall objective is to

strive for a SD vision using goals and indicators, this domain-based framework has weaknesses

that could be improved upon.

This type of framework is not necessarily well suited to connecting action and monitoring to

sustainability goals, as opposed to say a goal-based framework (see section 5.4).

‗Environment‘, ‗Public Health‘ and ‗Growth‘ are categories, not ends in themselves. This is

problematic in light of the fact that, as already mentioned, the municipality lacks a vision or

significantly defined definition of SD. Politicians were promising a better economy, society

and environment for all for all since long before the Brundtland Commission dropped

Sustainable Development on the world stage. Without overall direction, when using this type

of framework it becomes very easy to include any number of interesting data points, as one can

choose broadly from within the environment, economy or human society.

A large number of goals and indicators – circa 150 and 100 respectively –are considered part

of work towards SD. This is a very high number (as previously discussed in section 6.7,

Stockholm uses about 40) and, I argue, this risks ‗watering down‘ SD to the point where is

ceases to be any different to the type of conventional monitoring that has been carried out by

governments for decades (see Bell and Morse, 2008: 118). In contrast "the strength of a goal-

based framework is that it reduces the number of indicators that have to be considered to only

those relating to specified sustainability goals." (Maclaren, 1996:191). However, as discussed

in Section 5.4, goals based frameworks are not much better at capturing the complex

interactions between domains.

Meadows (1998) version of the Daily Triangle (see Section 5.4) is a much more ‗rigorous‘

framework for sustainability. However, it seems to serve as an example of the difficulty of

wedding elegant frameworks to practical situations. Could a small to medium-sized

municipality implement such a model in a way that translated into action? Certainly,

developing indicators and goals based on this model would give a different picture than

Falun‘s current approach. For example, it would place far more weight on understanding not

only rates of resource use and ‗ultimate means‘, and on ‗wellbeing‘ and the ‗ultimate ends‘ of

human development.

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To be clear, this is not to say the work and monitoring in the Municipality is generally

ineffective or deficient. Taken on their own terms, the activities carried out under the Growth,

Environment and Public Health programs may be highly effective, and it is not possible in this

thesis to comment on their success or failure in achieving organisational targets, data collection

standards, etc. But this study does not ‗take them on their own terms‘. Rather the point is to ask

how they function together in working towards sustainable development, with a focus on how

indicators are used to monitor progress towards the same.

The situation is thus one of making and monitoring incremental progress in a very diverse

range of areas – which, again, can have significant effects but which I argue lacks a vital link to

a vision, i.e. larger change processes. Once a vision is created, the municipality may benefit

from making some decisions about what areas to focus on for work towards SD, and how to

prioritise them. In practice this could mean changing the framework completely. It could also

mean creating ‗focus areas‘ or which are the main goals in each program. These would likely

use some of the existing goals and indicators, but also require new ones to be selected. For

good examples of places which have done such prioritization are Växjo Municipality in

Sweden, Copenhagen, Vancouver and Stockholm. Later in the discussion I will come back to

this point, as it would have also benefits for communication strategy.

Indicator Selection

SDI have been selected by actors focused on a specific program, and thus a specific domain

(environment, economy, society). This fits well with the ‗progress-monitoring‘ role indicators

play in Falun‘s operations. Indicators are useful to decision-makers in so far as they can see the

results of their actions towards specific goals. Designing indicators in this way also makes

accountability clear – if you are the person or group responsible for acting towards achieving

goal, it is clear which indicators are relevant for you. However, as already discussed the

domain-based framework encourages a monitoring strategy in which indicators are positioned

within separate domains (see Figure 13).

The result is a blend of a ‗conventional‘ (discrete, single sector, often single discipline) and

‗performance-based‘ (organisational goals and best-practice) goals and indicators, as opposed

to an ‗integrated‘ (holistic, multisector, and multi- and inter-disciplinary) approach to SD (see

section 5.5). No causal mapping or modelling, for example using DPSIR (see section 5.4) is

used to capture linkages and interactions between dimensions of SD, for example, between

consumption, new businesses and waste production. The goals and indicators were thus not

designed to address the important criteria (see Table 1) of ‗integration/multidimensionality‘.

The goals of the environmental program, for example, come from Sweden‘s 16 Environmental

Quality Objectives (Swedish Government, 2004), but do not come with any clear relation to

other domains of SD.

The links and interactions between the social, economic and environmental domains

nevertheless have to be assumed or implied in the Municipality‘s decision making and

activities. As long as there is no explicit mapping, it is difficult to test these assumptions

against data and observations, or to discuss how they might change. This may be limiting the

ability of the municipality to use an integrated approach to SD monitoring (see section 3.3).

The municipality would benefit from new methods for approaching, understanding and

working with the systemic relationships between the dimensions of SD (nature, society,

economics, politics, etc.) that lie behind the trends shown by indicators. It is precisely these

relationships that, arguably, strategists, politicians and other decision makers must begin to

engage with in order to solve difficult, (structural, systemic, complex, etc.) sustainability

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problems. Using tools like with Meadows (1998) ‗Daily Triangle‘ framework could allow new

thinking in terms of what is particularly valuable for sustainability. In interviews, municipal

strategists expressed understanding of the need for a more holistic and integrated approach.

This is not surprising, as few professionals in any sector would argue against the rather fuzzy

idea of a more integrated working method in their organisation. However, there is a serious

‗knowledge gap‘ about how to do so.

This is by no means a biting critique however. Cities and municipalities all over the world

struggle to apply the sustainability mantra of a ‗holistic, integrated approach‘. Effectively

answering questions like ‗how much does our economy rely on healthy ecosystems?, ‗how can

we best reduce the number of chemicals released in the environment from products?‘, or

‗where should we invest capital to achieve carbon reductions?‘ requires navigating complex

bundles of systems like freshwater ecosystems, waste management, human psychology, etc. Of

course strategies are available for some of these issues, but in many cases they are not, or are

based on significantly incomplete models and maps, e.g. on economics alone.

Nevertheless, using indicators should be an effective way to help measure and understand some

of this complexity. Indicators can be chosen using a systems-oriented approach to measure not

the goals from within one area of SD, but rather capture a picture of systemic interactions.

Again here the necessity of a vision comes into play as the first step – by helping focus on what

is relevant for SD. As mentioned above, using frameworks like PSR or DPSIR is a possibility.

Modeling of system dynamics within the municipality would be ideal, however cost and

required expertise are challenges.

Already tested in practice are less scientifically/ mathematically rigorous but more practically

applicable ‗hybrids‘ of stakeholder participation, systems analysis and indicator development

like Bell and Morse‘ (2003) Systemic Sustainability Analysis (SSA) methodology. The four

principles or ‗system conditions‘ of The Natural Step‘s sustainability framework (The Natural

Step, 2008) also provide as a basis on which to build integrated indicators.

The Earth Charter Partnership for Sustainable Communities‘ (ECPSC) EarthCAT guidebook

(Hallsmith et al., 2005) also contains detailed guidance for cities and local governments

wishing to begin mapping complex systems they must manage, e.g. transport use, employment,

health of individuals. This would allow using an established systems approach yet including

‗bottom up‘ input from stakeholders. This would of course require expertise; guidance by a

professional consultant and/or researchers.

Finally, it is also important to note a distinction is not made between those indicators important

for SD and those reflecting simply operational or political objectives. When it comes to

benchmarking or comparing with other municipalities in Sweden or abroad, a range of

indicators specifically selected to measure SD could be highly valuable in terms of increasing

curiosity in, and understanding of, success and failures in SD issues, e.g. sustainable transport.

This also may increase indicators‘ influence on SD related policy and decision making by

highlighting particular areas, and connect SD work to a wider (competitive and/or cooperative)

context. Ideally the role of local performance measurement is enhanced when monitoring of

SD is perceived as part of a larger project.

Sets of ‗ready-made‘ indicators exist, some of which are now well established across Europe or

Sweden, which have the explicit purpose of benchmarking at the local level. Several are

already in use in various regions in Sweden. Examples are the European Common Indicators

and the Swedish Eco-Municipalities (SEKOM) Green Key Indicators.

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52

Focu

s A

rea

Cla

ssif

icat

ion

/De

scri

pti

on

Be

ne

fits

Co

nst

rain

tsP

oss

ible

Str

ate

gic

Imp

rove

me

nts

Bas

ed

on

An

alys

is

Vis

ion

fo

r SD

• B

run

dtl

an

d r

epo

rt d

efin

itio

n f

urt

her

qu

ali

fied

as

“a f

utu

re i

n w

hic

h e

con

om

ic g

row

th d

oes

no

t co

me

at

the

exp

ense

of

hea

lth

an

d t

he

envi

ron

men

t”

(Fa

lun

.se,

20

12

).

• Se

pa

rate

vis

ion

is

als

o o

ffer

ed f

or

each

of

the

thre

e p

rogr

am

s.

• Fl

exib

le, a

da

pta

ble

, no

t co

nst

rain

ed b

y h

ard

req

uir

emen

ts.

• Ea

sily

in

tegr

ate

s w

ith

na

tio

na

l a

nd

reg

ion

al

SD

stra

tegy

.

• La

ck o

f m

id o

r lo

ng

term

su

sta

ina

bil

ity

visi

on

mea

ns

ma

y m

ake

it

ha

rder

to

gu

ide

lon

g te

rm

cha

nge

.

• D

iffi

cult

y, w

ith

ou

t a

vis

ion

, of

gett

ing

ou

t o

f th

e

pra

ctic

al

con

stra

ints

of

'no

w' a

nd

in

to c

rea

tive

thin

kin

g a

bo

ut

futu

re.

• Fo

rmu

late

a v

isio

n w

hic

h i

ncl

ud

es p

rin

cip

les

of

SD a

nd

des

ired

fu

ture

sta

te(s

) fo

r th

e w

ork

do

ne

in

the

pro

gra

ms.

Fram

ew

ork

• D

om

ain

-Ba

sed

, ‘Th

ree

Pil

lars

’. SD

pro

gra

m

crea

ted

by

pla

cin

g th

ree

pro

gra

ms

toge

ther

un

der

on

e SD

ba

nn

er.

• D

om

ain

s li

nke

d t

o s

pec

ific

pa

rts

of

org

an

isa

tio

n

all

ow

ing

clea

r re

spo

nsi

bil

ity

for

goa

ls.

• Ea

sily

rec

ogn

isa

ble

ca

tego

ries

'eco

no

my,

so

ciet

y,

envi

ron

men

t' f

aci

lita

te d

iscu

ssio

n a

nd

dec

isio

n

ma

kin

g.

• W

eak

lin

k b

etw

een

go

als

/in

dic

ato

rs a

nd

sust

ain

ab

le d

evel

op

men

t go

als

.

• A

lso

en

cou

rage

s ‘s

ilo

eff

ect’

.

• Th

ree

pil

lars

are

so

fa

mil

iar;

ma

y n

ot

dem

an

d/e

nco

ura

ge c

ha

nge

fro

m t

he

no

rm

• Fo

rmu

late

a v

isio

n w

hic

h i

ncl

ud

es p

rin

cip

les

of

SD a

nd

des

ired

fu

ture

sta

te(s

) fo

r th

e w

ork

do

ne

in

the

pro

gra

ms.

• Th

is c

an

ma

ke l

ink

to S

D m

ore

exp

lici

t a

nd

hel

p

ove

rco

me

‘sil

o e

ffec

t’.

Ind

icat

or

Sele

ctio

n

• 1

50

+ d

iver

se i

nd

ica

tors

. ‘A

nth

olo

gy’ t

ype

set

of

ind

ica

tors

in

th

ree

do

ma

ins.

• So

me

ben

chm

ark

ing,

bu

t n

ot

pa

rt o

f ‘c

om

mo

n’

ind

ica

tors

sch

eme.

• B

ase

d o

n t

hre

e p

illa

r m

od

el w

ith

lo

w d

escr

ipti

on

of

lin

ks b

etw

een

pil

lars

.

• C

ove

rs a

wid

e a

nd

th

oro

ugh

ra

nge

of

issu

es i

n

the

mu

nic

ipa

lity

.

• M

an

y sp

ecif

ic i

nd

ica

tors

, e.g

. En

ergy

in

dic

ato

rs

can

be

com

pa

red

acr

oss

oth

er m

un

icip

ali

ties

in

Swed

en.

• C

rea

tin

g in

dic

ato

rs f

or

SD u

nd

er 't

hre

e p

illa

rs' a

use

ful,

rel

ati

vely

lo

w c

ost

heu

rist

ic.

• N

o g

oa

ls/i

nd

ica

tors

ch

ose

n s

pec

ific

all

y a

s SD

pri

ori

ties

, th

us

all

pro

gra

m g

oa

ls/i

nd

ica

tors

are

SD, l

ead

ing

to l

ack

of

focu

s a

nd

def

init

ion

.

• N

o e

xpli

cit

ma

pp

ing

of

hu

ma

n-n

atu

re

inte

ract

ion

s in

mu

nic

ipa

lity

, ca

usa

l li

nka

ges

bet

wee

n i

nd

ica

tors

, d

rivi

ng

forc

es b

ehin

d

ind

ica

tors

, etc

.

• Se

lect

in

dic

ato

rs a

s SD

I th

rou

gh e

.g. u

sin

g ‘r

ead

y

ma

de’

in

dic

ato

r se

ts, o

r n

ew p

roce

ss t

o d

efin

e SD

an

d n

ew g

oa

ls/i

nd

ica

tors

.

• C

on

sid

er m

ap

pin

g d

yna

mic

s b

ehin

d k

ey

ind

ica

tors

wh

ere

po

ssib

le.

• U

se s

yste

mic

/co

mm

un

ity

act

or

‘hyb

rid

’ mo

del

e.g.

Bel

l &

Mo

rse

SSA

or

Eart

hC

AT.

Stak

eh

old

er

Par

tici

pat

ion

• D

efin

ing

wh

at

to m

easu

re t

o m

on

ito

r SD

is

larg

ely

left

up

to

exp

erts

.

• B

roa

d b

ase

of

sta

keh

old

ers

wit

h i

np

ut

into

gro

wth

pro

gra

m.

• So

me

citi

zen

an

d p

riva

te i

np

ut

into

oth

er

pro

gra

ms.

• C

lea

r li

nk

bet

wee

n r

esp

on

sib

le a

cto

rs, s

pec

ific

goa

ls a

nd

in

dic

ato

rs w

hen

exp

erts

ma

na

ge t

he

pro

cess

.

• D

iffi

cult

to

acc

om

mo

da

te p

ub

lic'

s in

pu

t ye

t

crea

te m

easu

rab

le g

oa

ls a

s sh

ow

n i

n G

row

th

Pro

gra

m

• Fa

vou

rin

g a

'to

p-d

ow

n' a

pp

roa

ch l

ack

s

emo

tio

na

l en

gage

men

t/o

wn

ersh

ip r

equ

ired

fo

r

seri

ou

s ch

an

ges

SD n

eed

s

• G

row

th p

rogr

am

go

als

per

ceiv

ed a

s h

ard

er t

o

imp

lem

ent

an

d m

easu

re w

ith

in

dic

ato

rs

• En

act

a n

ew p

roce

ss t

o d

efin

e a

vis

ion

an

d

def

init

ion

of

SD a

nd

sel

ect

a m

ix o

f n

ew a

nd

curr

ent

sust

ain

ab

ilit

y in

dic

ato

rs -

req

uir

es

inve

stm

ent

bu

t ca

n b

e h

igh

ly v

alu

ab

le.

• M

ay

take

th

e fo

rm o

f a

pa

rtic

ipa

tory

pro

cess

invo

lvin

g st

ake

ho

lder

s a

nd

cit

izen

s.

Co

mm

. De

sign

and

Str

ate

gy

• A

nn

ua

l re

po

rtin

g in

on

e d

ocu

men

t w

ith

sep

ara

te

da

ta p

oin

ts.

• Th

ree

pil

lar

pro

gra

ms

rep

ort

ed o

n i

n d

eta

il

• In

tern

al

‘liv

e’ i

nd

ica

tor

da

tab

ase

fo

r

mu

nic

ipa

lity

sta

ff.

• Li

mit

ed c

om

mu

nic

ati

on

str

ate

gy a

imed

at

po

liti

cia

ns,

em

plo

yees

an

d p

ub

lic.

• SD

Rep

ort

ing

is s

imp

le, l

ow

co

st.

• In

tern

al

ava

ila

bil

ity

of

da

ta m

ean

s m

un

icip

al

sta

ff, p

oli

tici

an

s, p

ub

lic

serv

an

ts h

ave

acc

ess

to

mu

ltis

ecto

r in

dic

ato

rs

• ‘W

ho

le p

ictu

re’ o

f SD

no

t co

mm

un

ica

ted

wel

l.

• In

tern

al

da

tab

ase

ra

rely

use

d t

o v

iew

are

as

oth

er

tha

n o

ne'

s o

wn

fie

ld

• Lo

w e

nga

gem

ent

of

Pu

bli

c, m

edia

an

d o

ther

s a

s

pa

rt o

f co

mm

un

ica

tio

ns

stra

tegy

.

• R

edu

ce n

um

ber

of

ind

ica

tors

. Use

vis

ua

l

inte

gra

tio

n d

esig

n.

• Li

nk

da

ta a

cro

ss s

ecto

rs/p

rogr

am

s b

ase

d o

n

ma

pp

ed l

inks

bet

wee

n p

illa

rs o

f SD

, i.e

. im

pro

ved

info

rma

tio

n f

or

dec

isio

n m

aki

ng

• Ta

rget

mo

re a

ud

ien

ces

wit

h o

nli

ne,

med

ia b

ase

d

or

inte

ract

ive

met

ho

ds,

in

crea

sin

g fe

edb

ack

of

info

rma

tio

n t

o c

ha

nge

beh

avi

ou

r .

Tab

le 6

. S

um

mary

of

dis

cu

ssio

n,

co

nclu

sio

ns a

nd

su

gg

esti

on

s b

y f

oc

us a

rea.

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53

Stakeholder Participation

As repeatedly referred to in Chapter 6, sustainable development in Sweden is largely the

domain of experts in terms of defining problems, forming goals, and carrying out actions. The

majority of Falun‘s SD goals and activities related to the environment, social and health issues

have been created in a ‗top down‘ way from national level objectives, and regional or local

experts. Many of these goals and indicators may indeed be best left to experts, for example

health authorities. However implementing SD at local level requires ‗ground-up‘ participation

(see section 5.6).

Again, the point here is not that the broad work going on in the three programs is not valuable

for the municipality. Rather, it is that establishing and choosing sustainability goals needs to be

approached differently to other general operations of the municipality. In reviewing published

work from academia, governments, the UN, think tanks, NGOs, etc. one finds another repeated

mantra alongside that of the ‗holistic integrated approach‘ already mentioned – the need for

‗stakeholder participation‘.

However, including input from a diverse range of actors can be a risky proposition, as those

managing Falun‘s Growth Program discovered. Including 200 stakeholders over several

participatory meetings proved to be a difficult task, in which many problems arose, e.g. the

lack of attention to indicators and data for monitor progress towards the goals created, which

has created dissatisfaction among many responsible actors (some are ‗experts‘) charged with

making the goals happen. The value of including stakeholder input in such scenarios is under

serious question.

Growth Program interviewees gave a strong impression that citizen and stakeholder

participation was perceived to have ‗weakened‘ the Growth Program by creating goals which

were difficult to measure (Interview 5). As I have mentioned previously, this is not surprising,

as part of the municipal strategists‘ job is to provide measurable results to politicians and the

public. But this means, ‗default‘ indicators like job growth and population are now used to fill

the gap.

There are ways to mitigate this ‗watering down‘ of goal setting and monitoring. More emphasis

on selecting indicators during the participatory process would demand those who would create

goals to think about the measurement of those goals. This could be followed by an expert

review of the feasibility of those indicators which may in fact lead to some being discarded. In

this area, again, choosing and adopting a specific approach to goals and indicator development

could be a solution here as well.

The situation in Falun is one in which many actors have had the chance to contribute valuable

insight and capabilities to SD work. However, the effective level of stakeholder participation in

SD goals and indicators has proved hard to trace for this study. Nevertheless, some processes

have been carried out in which broad base of stakeholders have been consulted. Input has

usually come from processes focused specifically on one program, for example the process

carried out for the Growth Program.

As already suggested, establishing a vision and deciding on ‗where we want to get to‘ in

certain areas focused specifically on SD – as opposed to labeling all the political and

administrative goals, actions and indicators in the three programs as work towards SD – may

lead to valuable results in terms of ownership and engagement of stakeholders with specific SD

goals. There is certainly much potential for ‗non-expert‘ and non-government actors to have

input in these processes. Holding an event or series of sessions to gain input from actors in the

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54

community about what is important for defining and measuring sustainable development in

Falun could bring fresh insight into defining focus areas most important for the municipality.

The overall lack of input from community actors may be contributing to a perceived lack of

understanding of the issues behind SDI among politicians and municipal employees, and lack

of ownership and investment in SDI among municipality actors responsible for SD work.

However, it is unclear to the municipality administration how such input should be managed

and integrated in an effective way; in what area input should be allowed, e.g. all goals and

indicators, or just a small set of goals, etc.; or how much value could be added by including

more stakeholders in the process.

Communication Strategy and Visual Design

The municipality goes to some lengths to monitor progress towards SD. Progress is reported in

an annual publication ‗Utveckling i Falun’, and in a less focused way other annual accounting

and reporting. The annual reports use about 20 indicators to show progress towards or away

from sustainable development goals. The municipality could use different strategies to show

overall progress in an easy to understand format. A visually integrated picture of sustainable

development could still show multiple indicators and data points. Such a communicative tool is

easy to update and display in many different contexts and for many different audiences.

Using a visual integration approach such as an AMOEBA chart (Figure 19) as suggested by

Bell & Morse (2003) or the ‗Compass of Sustainability‘ suggested as part of the ISIS Method

(AtKisson, 2011) would allow integration of selected/headline indicators from different

domains for an integrated view of overall progress. This could also encourage attention to issue

behind and links between indicators. Using a numerical integration approach such as

aggregation of indicators into indices is also possible, especially considering the number of

indicators in Falun‘s indicator system. This could take the form of e.g. single indicators

representing each sub-goal. Either of these methods may increase the effectiveness of

communicating indicators by making complexity more understandable (see Figure 9) to

different audiences.

Sustainability reporting is now quite ‗static‘, being displayed once a year in a sustainability

report on the municipality‘s website, whereas information for internal audiences (in the internal

municipality database) is possible to update regularly. Online and/or interactive displays of

indicator information may increase interest and accessibility for external audiences. This also

allows data to be updated more regularly relative to e.g. annual reporting, enhancing the

‗feedback‘ function of the indicator data.

Figure 15. Example of AMOEBA chart with indicators (adapted from Växjö Kommun, 2011:14)

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55

This could be a website, or part of the municipality‘s website. Examples of such ‗alive‘ or

interactive sustainability reports are Stockholm‘s ‗Sustainability Barometer‘ (City of

Stockholm, 2012), Washington University‘s ‗Sustainability Dashboard‘ (University of

Washington, 2011), or Community Indicators Victoria‘s interactive maps and extensive,

customisable indicator data (CIV, 2007). The purpose here would be to gain as much value as

possible from monitoring and collecting data, if the purpose is to make sustainability a part of

habitual thinking in everyday work/life for the municipality employees and politicians, but also

for more of the public.

8. Conclusion

This thesis presented an approach to assessing the design, creation and communication of

sustainability indicators and then applied it in a critical assessment of sustainable development

monitoring in Falun. The Municipality struggles with many of the same sustainability issues

municipalities in developed (and not so developed) countries around the world struggle with

today in both policy and implementation. To commit to sustainable development can mean

high costs and risks, especially in the face of all the other economic, social and environmental

pressures smaller municipalities face in Sweden, like creating jobs, keeping population

numbers while competing with bigger cities, creating a good business environment, valuing

nature in political decisions, and so on. Working with a holistic, integrated approach to

development is by definition not a simple demand, and it‘s often not clear what the appropriate

approach is. The way we gather, make sense of and distribute information is crucial to the

whole SD project and if we don‘t get it right, we are doomed to at worst to destroy the systems

we depend on, and at best repeat business as usual. At the local level, achieving SD is a

―struggle to learn more, to learn better, and to learn in a more contextualized fashion within the

communities of our lived experience‖ (Holden, 2006:171). We need to constantly review our

own ways of learning.

In Falun Municipality one finds a very diverse landscape of action and monitoring, often in

areas with relatively weak ties to a sustainable development vision, and even weaker ties the

long term change processes (structural, systemic, etc.) required to achieve it. Strategists and

planners at the Municipality do express interest in implementing an integrated sustainability

monitoring strategy. However, at present they are using conventional indicators with a domain

based framework to separately monitor economy, public health/society, and environment with

an emphasis on performance-based measurement (see Hoernig and Seasons, 2004) rather than

integrative approach through for example environmental accounting or dynamic modelling.

The current approach is easy to understand and makes progress towards goals easy to measure,

but often neglects to address causal linkages between these different dimensions of SD, and

important drivers of change that need to be addressed. Improving this understanding through

better construction of indicators based on better, more integrated models could thus help to

make better decisions.

Nevertheless, a great deal of progress has been made in the last decade in legitimising and

implementing sustainable development policies and projects in Falun. The considerable

political motivation and resources for environment and sustainability issues in municipality

signals that steps could be taken to make sustainable development more deeply embedded in

the future the Municipality sees for itself. Enacting a new process to define Falun‘s vision and

definition of SD, e.g. ‗where would we like to be in 20 years‘ would then likely lead to creating

a revised set of new and current sustainability indicators. This requires investment but can be

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56

highly valuable. This may include of a participatory process involving stakeholders and

citizens to increase ownership and engagement.

It could also be valuable to simplify the existing large number of goals and indicators for

communication. The wider group of indicators is still needed for strategists; however, the rest

of the municipality may find the indicators much more useful in simpler form. This study has

touched on three options: choosing headline indicators, improving communication through

visual integration, and/or creating indices. Ideally a project could combine both the above

actions. A participatory process to define a vision and new indicators with introduction of

causal framework and then an integrated picture like AMOEBA for overall SD. Examples of

such a process such are Bell & Morse (2003) ‗Imagine‘ approach, or Stockholm based

AtKisson Group‘s ISIS approach (AtKisson, 2010).

9. Towards a Methodology for Assessing

Established SDI Systems

Many authors have focused on how to develop sustainability indicators ‗from scratch‘,

however, it may be that, particularly in areas of the world such as Europe where using SDI has

become commonplace, there is rarely such an opportunity.

Existing

Organisational

Operations without

Sustainability

Indicators

’From Scratch’

Sustainability

Indicator

Development

Process

New

Organisational

Operations with

the use of

Sustainability

Indicators

Existing

Organisational

Operations with

the use of

Sustainability

Indicators

’Intervention’

Sustainability

Indicator

Improvement

Process

New

Organisational

Operations with

changed use of

Sustainability

Indicators

Figure 16. Commonly suggested 'clean slate' approach to establishing SDI (top) compared to an approach to an already operational indicator system

with ties to organisational practice (bottom).

The point of this study is to assess at which point to intervene in an already functioning

‗system‘. Which are the important points to look at when reviewing indicator systems and how

should one do so? In this thesis I developed an approach to do just this, focusing on 1) vision,

2) framework, 3) indicator selection (modeling, comparability), 4) stakeholder participation,

and 5) communication strategy & visual design.

Thousands of cities worldwide now use a set(s) or system of SDI in their general operations.

These have varying origins, ages and levels of effectiveness. It may be that may cities in a

region or country have the same or a significantly similar combination of framework,

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monitoring strategy, integration methods (or lack thereof), participation, visualisation, etc. for

reporting and communication strategy. This could mean it is possible to recommend a

standardised model identifying areas for strategic intervention in existing SDI processes in

order to lead to improved outcomes. Furthermore, it may be possible to single out and

recommend heuristic ‗tweaks‘ to existing SDI processes which have been shown to be

effective.

***

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11. Appendices

11.1. List of Interviews

All interviews were carried out in various Municipality Government buildings in Falun. All

interviewees are employees of the Municipality Government. Each interview was

approximately 90 minutes long

Interview Name Position Date

1 Thomas Sundin Envrironmental Strategist 11 May, 2012

2 Margareta Morén

Public Health Coordinator -

Schools 18 June, 2012

3 Ola Bergeå Energy and Climate Strategist 19 June, 2012

4 Pär Karlsson Nature Conservation Biologist 19 June, 2012

5

Karin Perers /

Mats Reutherborg

Head of Growth Program /

Former Head of Growth

Program 19 June, 2012

6

Lena Melander /

Thomas Sundin

SD Strategist & Indicator

Manager / Environmental

Strategist 20 June, 2012

7 Thomas Sundin Environmental Strategist 21 June, 2012

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11.2. Interview Brief sent to Interviewees and

used in Interviews

Interview Brief

Research Focus

Effectiveness of use and communication of indicators for sustainable development (ISD) at

regional level

Interviewees

Key personnel within Falun Municipality, Dalarna, Sweden.

General Interview Topics

The current indicator set – history, selection process, integration.

Use of ISD as a management tool –interaction with ISD in daily operations and work.

Communication of ISD – effectiveness, potential for future.

Topic Descriptions

Indicator set: Questions will focus on the history of the use of indicators by the

municipality, and about the process of selection and any desired level of integration

between indicators. This line of questioning will be relevant for particular interviewees who

have direct involvement in this history.

Use of ISD as a management tool: Questions will focus on how indicators are used in

decision making and the interviewees‘ perceptions of, for example, how practically useful

the ISD are, or how they could function better.

Communication: Questions will focus on the visual and other forms of communication the

municipality uses to represent indicator data, and which audiences are the desired target and

why.

Interviewees Please Note

This is a guide only. Some content may change before the interviews are conducted, and as

more interviewees are added. However, the three main topic areas will remain the same.

Copies of the interviews will be available once the work is completed. Any confidentiality

requested by Falun Kommune or interviewees will be agreed to.