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Sektorale und regionale Betroffenheit durch den Klimawandel am Beispiel der Metropolregion Hamburg

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  • Frei, Xenia
  • Kowalewski, Julia

Abstract

Die Bemühungen zur Vermeidung des Klimawandels konnten nicht verhindern, dass auch in Deutschland mit Klimaänderungen gerechnet werden muss. Ein elementarer Teil der entstandenen Anpassungsforschung beschäftigt sich mit besonders gefährdeten Sektoren. Die Verletzlichkeit eines Sektors durch den Klimawandel wird als Vulnerabilität bezeichnet. Derzeit existiert eine Vielzahl an Studien, welche die vulnerablen Sektoren einer Region identifizieren und Handlungsempfehlungen ableiten. Es gibt jedoch kaum regionsübergreifende Ansätze, die es Entscheidungsträgern ermöglichen, Sektoren und Regionen miteinander zu vergleichen und die gleichzeitig schnell und einfach an neue Erkenntnisse der Klimafolgenforschung angepasst werden können. Ein solches Vergleichsinstrument in der Form eines Betroffenheitsindex wird in dieser Studie dargestellt. Dieser berücksichtigt sowohl die Sensitivitäten von Wirtschaftssektoren als auch die von Regionen aufgrund ihrer Sektorstruktur und ihre Exposition gegenüber Klimaänderungen. Die Anwendung des Index wird am Beispiel von vier Kreisen der Metropolregion Hamburg sowie der Hansestadt Hamburg demonstriert.

Suggested Citation

  • Frei, Xenia & Kowalewski, Julia, 2013. "Sektorale und regionale Betroffenheit durch den Klimawandel am Beispiel der Metropolregion Hamburg," HWWI Research Papers 139, Hamburg Institute of International Economics (HWWI).
    • Handle: RePEc:zbw:hwwirp:139
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    References listed on IDEAS

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    1. A. T. Flegg & C. D. Webber, 1997. "On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply," Regional Studies, Taylor & Francis Journals, vol. 31(8), pages 795-805.
    2. Heike Auerswald & Gerit Vogt, 2010. "Zur Klimasensibilität der Wirtschaft in der Region Dresden," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(03), pages 15-23, 06.
    3. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
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    Cited by:

    1. Michael Berlemann & Robert Lehmann, 2020. "Extreme Weather Sensitivity of German Companies – Results of a Business Survey," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(08), pages 45-55, August.
    2. Rose, Julia & Wilke, Christina Benita, 2015. "Climate change vulnerability in cities: The case of Hamburg," HWWI Research Papers 167, Hamburg Institute of International Economics (HWWI).
    3. Julian S. Leppin & Stefan Reitz, 2016. "The Role of a Changing Market Environment for Credit Default Swap Pricing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 209-223, July.
    4. Jahn, Malte, 2013. "Economics of extreme weather events in cities: Terminology and regional impact models," HWWI Research Papers 143, Hamburg Institute of International Economics (HWWI).
    5. Vöpel, Henning, 2013. "A Zidane clustering theorem: Why top players tend to play in one team and how the competitive balance can be restored," HWWI Research Papers 141, Hamburg Institute of International Economics (HWWI).
    6. Bräuninger, Michael, 2014. "Tax sovereignty and feasibility of international regulations for tobacco tax policies," HWWI Research Papers 152, Hamburg Institute of International Economics (HWWI).

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