Socio-Ecological Panel, 1st Survey Wave Sozioökologisches Panel, 1. Befragungswelle

DOI

With a share of 30% in total final energy consumption and around 20% in CO2 emissions, private households in Germany strongly affect the environment. At the same time private households are an important target group for policy interventions to fight climate change. Against this background, numerous policy measures that intend to decrease energy consumption and to support renewable energy technologies have been introduced. These policy measures call for accurate evaluation to avoid expensive redundancies due to overlapping policy instruments. The evaluation of energy and environmental policy measures requires comprehensive and reliable data. So far such data was unavailable in Germany, especially in the context of private households. Hence, the responsiveness of German households to climate protection policies was unknown. For this purpose, the Socio-Ecological Panel offers rich information on household’s energy consumption and environmental behavior. The data was gathered in four household surveys conducted in 2012, 2013, 2014 and 2015. The survey waves can be merged using the household ID. The data builds the basis for empirical analyses of households’ adaptation to climate change and the evaluation of environmental and climate policy measures. This data set comprises the information gathered in the 2012 survey wave.

Green-SÖP

Self-administered questionnaire: Web-based

10,000 German households.

Offline recruiting for the representative forsa omninet panel.

Identifier
DOI https://doi.org/10.7807/greensoep:en:v1
Related Identifier IsContinuedBy https://doi.org/10.7807/greensoep:en:v2
Related Identifier IsVariantFormOf https://doi.org/10.7807/greensoep:de:v1
Metadata Access https://api.datacite.org/dois/10.7807/greensoep:en:v1
Provenance
Creator Frondel, Manuel; Vance, Colin; Andor, Mark; Kussel, Gerhard; Schmidt, Christoph M.; Osberghaus, Daniel
Publisher RWI – Leibniz Institute for Economic Research
Contributor Forsa; Ruhr University Bochum; Centre for European Economic Research
Publication Year 2016
Rights No commercial use.
OpenAccess true
Representation
Language English
Resource Type Dataset
Format Stata
Size 2.19 MB
Version 1
Discipline Social Sciences
Spatial Coverage Germany