Spatial Cost-Benefit Analysis - European MSP Platform · 10.10.17 Dr. Barbara Weig; s.Pro │...
Transcript of 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
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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
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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
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Offshore Wind – approach 2
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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
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Shipping:officialsta*s*csfromtheregionalsta*s*calofficesofSchleswig-Holstein(Sta*s*kamtNord)andMecklenburg-WesternPomeraniaHinterland:trainconnec*onsonly,Kombiverkehrandwebsitesoftheports
Shipping – the approach
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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?
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Hinterland – where?
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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
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Thank you for your attention
Offshore Wind – first empirical results from Germany
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Investors/Operators/Owners(50firms)
Producers(262firms)
ServiceProviders(376firms)
Shipping – what?
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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)