complexity in public policy: metaphors and methods philip haynes
TRANSCRIPT
Complexity in Public Policy: Metaphors and Methods
Philip Haynes
What do we mean by policy? Government action Linking of decisions Intervention – political power
What do we mean by policy? Implementation – management,
professionalism… Multidisciplinary
Policy Process Policy as a rational process
Many perspectives on policy
Making sense of it all?
Patterns Time and Space
Patterns
Action over time - policy trends
Spatial levels - global, national, local, organisation, team…
Policy systems
National Government
Local Government
Policy organisations
External Factors
External Factors
Complexity Theory Complex dynamic systems are constructed by
the interaction of instability and stability. Includes chaos theory, but goes beyond it
Instability
Stability
Edge of Chaos
Complex or complicated?
Some core metaphors1. Instability (chaos)2. Nested systems 3. Attractors (order in disorder)4. Interaction (not cause and effect)5. Self organisation (order from within)
Chaos and instability
Instability and chaos in policyPrivate residential social care homes, aged 65 and over, Eng.
0
20000
40000
60000
80000
100000
120000
140000
160000
1984 1985 1986 1987 1988 1989 1990 1991 1992 1993
Year
tota
ls
0.00
5.00
10.00
15.00
20.00
25.00
30.00
annual % change
Types of change
Instability
0
20
40
60
80
1 2 3 4 5 6 7 8 9 10
output over time
perc
enta
ge
change
Types of change
Complexity
0
1020
3040
50
6070
80
1 2 3 4 5 6 7 8 9 10
output over time
pe
rce
nta
ge
ch
an
ge
Policy and Time
Evolution of macro policy Which path does policy action take?
1. Path dependency
2. Punctuated equilibrium
3. Complex stability-instability
Some core metaphors Instability (chaos) Nested systems (fractals)
Nested systems
Local Government
Central Government Sub National
Government
Organisation AOrganisation BActor, 1., 2, 3, etc
-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
Some core metaphors Instability (chaos) Nested systems (fractals) Attractors (order in the disorder)
Attractor UK inflation (t-1) 1987-2004
Attractor UK inflation 1987-1990
Attractor UK inflation 1990--1997
Attractor UK inflation 1997-2005
Attractor UK inflation 1987-2005
Attractors - qualitative
Kontoupolous – ‘competing logics in public policy’
Marketisation
Consumerism
User involvement
Professionalism
Managerialism
Citizenship
Bureaucratic rules
Some core metaphors Instability (chaos) Nested systems (fractals) Attractors (order in the disorder) Interaction (rather than cause and effect)
A
B
Feedb
ack
System Interaction
Some core metaphors Instability (chaos) Nested systems (fractals) Attractors (order in the disorder) Interaction (rather than cause and effect) Self organisation (Order from within)
Self organisation
Methods
How we can make sense of such complexity?
‘We maybe able to able to learn a lot about the kind of dynamics involved in the functioning of such systems…Complexity theory underscores the importance of contingent factors… No general model can capture these singularities.’
Cilliers, 2001, p.145
Qualitative Comparative MethodCharles Ragin Use of quantitative thresholds to make
qualitative judgements Better consideration of cases Multiple ‘complex’ paths to outcome
Single quantitative model
As complex patterns
QCA – truth tables
H W M S CH A AR Out id
0 1 1 0 0 0 0 C AUSTRALIA NEW ZEALAND
0 0 1 0 0 1 1 1 GERMANY
0 0 0 1 0 0 0 1 GB
0 1 0 1 0 0 0 1 US
0 0 0 1 1 0 1 1 AUSTRIA
0 0 0 1 1 1 1 0 HUNG
0 1 1 0 0 0 1 1 NOR,CAN
1 0 0 0 1 1 1 0 POLAND
1 1 1 0 0 0 0 0 JAPAN
1 0 1 0 1 1 1 0 SPAIN
Logical Statements
Outcome 1 = higher expenditure on LTC policy
h * (M*s*ch) + (m*S*a)
N= (8) (5) + (3)
Country statements
h * m * S * ch * a * ar
(GB and USA)
Patterns – workflow diagrams
Clearing
Subject strength
Student services
Student stressSystem Stress(Info. Systems)Timetabling
Student InductionPublicity
Learning and Teaching delivery
Assessment
Personal tutoring
Research grants
Open days
Staff expertise
Staff turn over Research publications
Examination Boards
Progression
Awards and Graduation
Staff deployment
Higher Degree Recruitment
Staff stress
Student retention
Admissions
Indicator Dashboard
Student TargetsGrants awarded
StudentRetention
Publications cited
Budget
19.78 SSRs
Implications for practice
‘Decision makers should be content with setting minimum specifications, establishing boundaries and letting the system settle into a condition that satisfies the constraints placed on it.’ (Kernick 2004, p137)’
Airport paperback: five point summary Don’t micro manage Do both synthesis and analysis
(the big picture is an important as the detail) Celebrate positive feedback systems Some places are trapped in negative
feedback, consider intervening on a large scale.
Listen to local context and ‘stories’