Green-SÖP: The Socio-ecological Panel Survey: 2012–2016
Klick Larissa,
Kussel Gerhard and
Sommer Stephan ()
Additional contact information
Klick Larissa: RWI – Leibniz Institute for Econmic Research, Essen, Germany
Kussel Gerhard: RWI – Leibniz Institute for Econmic Research, Essen, Germany
Sommer Stephan: RWI – Leibniz Institute for Econmic Research, Essen, Germany
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2021, vol. 241, issue 3, 405-414
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.
Keywords: household panel; climate change; adaption; electricity consumption (search for similar items in EconPapers)
JEL-codes: Q3 Q4 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/jbnst-2020-0065 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:241:y:2021:i:3:p:405-414:n:6
DOI: 10.1515/jbnst-2020-0065
Access Statistics for this article
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) is currently edited by Peter Winker
More articles in Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) from De Gruyter
Bibliographic data for series maintained by Peter Golla ().