IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v137y2017icp173-183.html
   My bibliography  Save this article

Risk Perception of Climate Change: Empirical Evidence for Germany

Author

Listed:
  • Frondel, Manuel
  • Simora, Michael
  • Sommer, Stephan

Abstract

The perception of risks associated with climate change appears to be a key factor for the support of climate policy measures. Using a generalized ordered logit approach and drawing on a unique data set originating from two surveys conducted in 2012 and 2014, each among more than 6000 German households, we analyze the determinants of individual risk perception associated with three kinds of natural hazards: heat waves, storms, and floods. Our focus is on the role of objective risk measures and experience with these natural hazards, whose frequency is likely to be affected by climate change. In line with the received literature, the results suggest that personal experience with adverse events and personal damage therefrom are strong drivers of individual risk perception.

Suggested Citation

  • Frondel, Manuel & Simora, Michael & Sommer, Stephan, 2017. "Risk Perception of Climate Change: Empirical Evidence for Germany," Ecological Economics, Elsevier, vol. 137(C), pages 173-183.
  • Handle: RePEc:eee:ecolec:v:137:y:2017:i:c:p:173-183
    DOI: 10.1016/j.ecolecon.2017.02.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800916310631
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Manuel Frondel & Colin James Vance, 2012. "Interpreting the outcomes of two-part models," Applied Economics Letters, Taylor & Francis Journals, vol. 19(10), pages 987-992, July.
    2. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    3. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    4. Torsten Grothmann & Fritz Reusswig, 2006. "People at Risk of Flooding: Why Some Residents Take Precautionary Action While Others Do Not," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 38(1), pages 101-120, May.
    5. van der Linden, Sander, 2014. "On the relationship between personal experience, affect and risk perception: the case of climate change," LSE Research Online Documents on Economics 57689, London School of Economics and Political Science, LSE Library.
    6. Shlomo Benartzi & Richard Thaler, 2004. "Save more tomorrow: Using behavioral economics to increase employee saving," Natural Field Experiments 00337, The Field Experiments Website.
    7. Daniel Osberghaus & Jan Kühling, 2016. "Direct and indirect effects of weather experiences on life satisfaction – which role for climate change expectations?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(12), pages 2198-2230, December.
    8. Wicker, Pamela & Becken, Susanne, 2013. "Conscientious vs. ambivalent consumers: Do concerns about energy availability and climate change influence consumer behaviour?," Ecological Economics, Elsevier, vol. 88(C), pages 41-48.
    9. Lorraine Whitmarsh, 2008. "Are flood victims more concerned about climate change than other people? The role of direct experience in risk perception and behavioural response," Journal of Risk Research, Taylor & Francis Journals, vol. 11(3), pages 351-374, April.
    10. Vincent Kang Fu, 1999. "Estimating generalized ordered logit models," Stata Technical Bulletin, StataCorp LP, vol. 8(44).
    11. Osberghaus, Daniel, 2015. "The determinants of private flood mitigation measures in Germany — Evidence from a nationwide survey," Ecological Economics, Elsevier, vol. 110(C), pages 36-50.
    12. Menny, Claas & Osberghaus, Daniel & Pohl, Max & Werner, Ute, 2011. "General knowledge about climate change, factors influencing risk perception and willingness to insure," ZEW Discussion Papers 11-060, ZEW - Leibniz Centre for European Economic Research.
    13. Greene, William, 2010. "Testing hypotheses about interaction terms in nonlinear models," Economics Letters, Elsevier, vol. 107(2), pages 291-296, May.
    14. Dienes, Christian, 2015. "Actions and intentions to pay for climate change mitigation: Environmental concern and the role of economic factors," Ecological Economics, Elsevier, vol. 109(C), pages 122-129.
    15. W. J. Wouter Botzen & Erwann Michel-Kerjan & Howard Kunreuther & Hans Moel & Jeroen C. J. H. Aerts, 2016. "Political affiliation affects adaptation to climate risks: Evidence from New York City," Climatic Change, Springer, vol. 138(1), pages 353-360, September.
    16. Christina Tobler & Vivianne Visschers & Michael Siegrist, 2012. "Consumers’ knowledge about climate change," Climatic Change, Springer, vol. 114(2), pages 189-209, September.
    17. Dai, Jing & Kesternich, Martin & Löschel, Andreas & Ziegler, Andreas, 2015. "Extreme weather experiences and climate change beliefs in China: An econometric analysis," Ecological Economics, Elsevier, vol. 116(C), pages 310-321.
    18. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, April.
    19. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andor, Mark & Osberghaus, Daniel & Simora, Michael, 2017. "Natural disasters and governmental aid: Is there a charity hazard?," ZEW Discussion Papers 17-065, ZEW - Leibniz Centre for European Economic Research.
    2. Gagliarducci, Stefano & Paserman, M. Daniele & Patacchini, Eleonora, 2019. "Hurricanes, Climate Change Policies and Electoral Accountability," IZA Discussion Papers 12334, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Damage experience; Natural hazards; Generalized ordered logit;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolec:v:137:y:2017:i:c:p:173-183. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.