spatial cost-benefit analysis - european msp platform · 10.10.17 dr. barbara weig; s.pro │...

Towards sustainable governance of Baltic marine space 2015 – 2018

The BONUS BALTSPACE project was supported by BONUS (Art 185), funded jointly by the EU and Baltic Sea national funding institutions.

Spatial Cost-Benefit Analysis

Offshore Wind Energy & Shipping

Presentation by: Dr. Barbara Weig (s.Pro)

Introduction/ Aim of the tool

•  Main question: –  How are costs and benefits of marine sectors

allocated across the country? •  Tasks:

–  Developing a tool, that is replicable in other regions –  Testing the tool for the case study of the German

Baltic Sea •  Economic sectors of interest:

–  Offshore wind energy √ - Sand and gravel –  Shipping √ exploitation –  Marine tourism √ - Cables and pipeline –  Fishing √ - Aquaculture/Mariculture

10.10.17 Dr. Barbara Weig; s.Pro │ sustainable projects 2

General thoughts on the tool

•  One tool that fits all sectors is not realistic •  Costs and benefits can be analysed from

different angles –  Different forms of costs (economic, social, ecological

costs, opportunity costs…) –  Different groups of beneficiaries (supply side,

demand side…) •  Mapping the geographical distribution of (costs

and) benefits –  Using RegioGraph by GfK Geomarketing


Offshore Wind – approach 1 Point of departure: German wind farms in the Baltic Sea Analysed elements: All enterprises involved in planning, constructing and maintaining Source of data: http://www.4coffshore.com/windfarms/ Mapping: one map per wind farm; geographical distribution of all enterprises (2 digit postal code areas) Advantage: only firms engaged in the Baltic Sea; comparison of different wind farms


Offshore Wind – approach 2


Point of departure: the German offshore wind sector Analysed elements: all firms in Germany involved in the offshore wind sector Source of data: Database compiled from different sources (744 firms in total)Mapping: geographical distribution of all enterprises (2 digit postal code areas) -  Differentiated by sectors -  Differentiated by phases of

the value chain

Shipping – the approach


Shipping:officialsta*s*csfromtheregionalsta*s*calofficesofSchleswig-Holstein(Sta*s*kamtNord)andMecklenburg-WesternPomeraniaHinterland:trainconnec*onsonly,Kombiverkehrandwebsitesoftheports

Shipping – the approach


Data challenges:

- Different sources use very different data -  Official statistics: differences between MV & SH -  Shipping areas → NUTS3, NUTS2, 2 digit postal code areas

Shipping – where?


Hinterland – where?


Reflections

•  Limitations/ challenges –  Data availability –  Time – Mapping method (less is more!)

•  Opportunities – Maps are easy to read, no expert knowledge

needed –  Basis for discussion –  Support for decisions and arguments –  Not only interesting for MSP –  Adaptable for other regions, if data is available



Thank you for your attention

Offshore Wind – first empirical results from Germany


Investors/Operators/Owners(50firms)

Producers(262firms)

ServiceProviders(376firms)

Shipping – what?


MostimportantgoodsinGermanBal6cSeaPorts

RoRogoods&container 27.239.495tons(2016)

Plant-basedproducts 7.009.428tons(2016)

Paperandpaperboard 3.383.937tons(2016)

Forestproducts 2.641.374tons(2016)

Construc*onmaterial 2.497.192tons(2016)

fer*lizer 2.445.402tons(2016)

spatial cost-benefit analysis - european msp platform · 10.10.17 dr. barbara weig; s.pro │...

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