IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v241y2021i3p405-414n6.html
   My bibliography  Save this article

Green-SÖP: The Socio-ecological Panel Survey: 2012–2016

Author

Listed:
  • Klick Larissa
  • Kussel Gerhard
  • Sommer Stephan

    (RWI – Leibniz Institute for Econmic Research, Essen, Germany)

Abstract

Evaluating environmental questions is a crucial issue in today’s economic research and policy making. The Green-SÖP offers a comprehensive data base to enrich an empirically led scientific discourse as a survey data set on environmental and energy-related topics in Germany. The data set on more than 6000 households was collected by RWI – Leibniz Institute for Economic Research and partners between 2012 and 2016. The questions are very diverse and range from personal attitudes to environmental policy issues with a special focus on the consequences of climate change and individual behaviors as well as opinions on ecologically related matters.

Suggested Citation

  • Klick Larissa & Kussel Gerhard & Sommer Stephan, 2021. "Green-SÖP: The Socio-ecological Panel Survey: 2012–2016," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(3), pages 405-414, June.
    • Handle: RePEc:jns:jbstat:v:241:y:2021:i:3:p:405-414:n:6
    DOI: 10.1515/jbnst-2020-0065
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2020-0065
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jbnst-2020-0065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Andor, Mark A. & Osberghaus, Daniel & Simora, Michael, 2020. "Natural Disasters and Governmental Aid: Is there a Charity Hazard?," Ecological Economics, Elsevier, vol. 169(C).
    2. Kussel, Gerhard & Larysch, Tobias, 2017. "Sozial-Ökologisches Panel: Datenbeschreibung der Haushaltsbefragung," RWI Materialien 110, RWI - Leibniz-Institut für Wirtschaftsforschung.
    3. Cordes, Ole & Klick, Larissa & Krieg, Marielena & Sommer, Stephan, 2020. "FDZ data description: Socio-ecological panel - wave 5 (Green-SÖP)," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 229169.
    4. Kussel, Gerhard, 2018. "Adaptation to Climate Variability: Evidence for German Households," Ecological Economics, Elsevier, vol. 143(C), pages 1-9.
    5. Mark A. Andor, Manuel Frondel, and Colin Vance, 2017. "Germanys Energiewende: A Tale of Increasing Costs and Decreasing Willingness-To-Pay," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frondel Manuel & Matejko Leonie & Sommer Stephan & Vance Colin & Osberghaus Daniel, 2023. "Green SÖP Extended: The Socio-Ecological Panel Surveys 2020 and 2022," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(5), pages 567-583, October.
    2. Peter John Robinson & W.J.W. Botzen & F. Zhou, 2019. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Working Papers 19-19, Utrecht School of Economics.
    3. Lars Mewes & Leonie Tuitjer & Peter Dirksmeier, 2024. "Exploring the variances of climate change opinions in Germany at a fine-grained local scale," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    4. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
    5. Stringer, Thomas & Joanis, Marcelin, 2022. "Assessing energy transition costs: Sub-national challenges in Canada," Energy Policy, Elsevier, vol. 164(C).
    6. Craig E. Landry & Dylan Turner & Daniel Petrolia, 2021. "Flood Insurance Market Penetration and Expectations of Disaster Assistance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 357-386, June.
    7. Tesselaar, Max & Botzen, W.J. Wouter & Robinson, Peter J. & Aerts, Jeroen C.J.H. & Zhou, Fujin, 2022. "Charity hazard and the flood insurance protection gap: An EU scale assessment under climate change," Ecological Economics, Elsevier, vol. 193(C).
    8. Peillex, Jonathan & El Ouadghiri, Imane & Gomes, Mathieu & Jaballah, Jamil, 2021. "Extreme heat and stock market activity," Ecological Economics, Elsevier, vol. 179(C).
    9. Osberghaus, Daniel & Reif, Christiane, 2021. "How do different compensation schemes and loss experience affect insurance decisions? Experimental evidence from two independent and heterogeneous samples," Ecological Economics, Elsevier, vol. 187(C).
    10. Herath, N. & Tyner, W.E., 2019. "Intended and unintended consequences of US renewable energy policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    11. Welsch, David M. & Winden, Matthew W. & Zimmer, David M., 2022. "The effect of flood mitigation spending on flood damage: Accounting for dynamic feedback," Ecological Economics, Elsevier, vol. 192(C).
    12. Newbery, David & Pollitt, Michael G. & Ritz, Robert A. & Strielkowski, Wadim, 2018. "Market design for a high-renewables European electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 695-707.
    13. Shala, Iliriana & Schumacher, Benno, 2022. "The impact of natural disasters on banks' impairment flow: Evidence from Germany," Discussion Papers 36/2022, Deutsche Bundesbank.
    14. Sabrina Katharina Beckmann & Michael Hiete & Michael Schneider & Christoph Beck, 2021. "Heat adaptation measures in private households: an application and adaptation of the protective action decision model," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
    15. Thomas Husted & David Nickerson, 2021. "Private Support for Public Disaster Aid," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    16. Alexander Wimmers & Reinhard Madlener, 2023. "The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty," Energies, MDPI, vol. 17(1), pages 1-35, December.
    17. Herbes, Carsten & Rilling, Benedikt & MacDonald, Scott & Boutin, Nathalie & Bigerna, Simona, 2020. "Are voluntary markets effective in replacing state-led support for the expansion of renewables? – A comparative analysis of voluntary green electricity markets in the UK, Germany, France and Italy," Energy Policy, Elsevier, vol. 141(C).
    18. Fluhrer, Svenja, 2023. "Crowding-in or crowding-out: The effect of humanitarian aid on households’ investments in climate adaptation," MPRA Paper 117975, University Library of Munich, Germany.
    19. Daniel Osberghaus & Christian Groß & Gert G. Wagner & Frank Offermann & Christoph Duden & Jonas Schmitt & Michael Berlemann & Jörg Asmussen & Markus Roth & Lamia Messari-Becker & Nicola Garbarino & Ben, 2021. "Extreme Weather Events: State Aid or Private Provision – Who Bears the Costs?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 74(11), pages 03-28, November.
    20. Lee, Min-Kyu & Nam, Jungho & Kim, Miju, 2023. "Valuing the public preference for offshore wind energy: The case study in South Korea," Energy, Elsevier, vol. 263(PB).

    More about this item

    Keywords

    household panel; climate change; adaption; electricity consumption;
    All these keywords.

    JEL classification:

    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    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:jns:jbstat:v:241:y:2021:i:3:p:405-414:n:6. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.