Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset] (doi:10.11588/data/10030)

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Part 2: Study Description
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Document Description

Citation

Title:

Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset]

Identification Number:

doi:10.11588/data/10030

Distributor:

heiDATA

Date of Distribution:

2014-10-29

Version:

2

Bibliographic Citation:

Diederich, Johannes; Goeschl, Timo, 2014, "Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset]", https://doi.org/10.11588/data/10030, heiDATA, V2

Study Description

Citation

Title:

Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence [Dataset]

Identification Number:

doi:10.11588/data/10030

Authoring Entity:

Diederich, Johannes (Alfred-Weber-Institute of Economics)

Goeschl, Timo (Alfred-Weber-Institute of Economics)

Producer:

Diederich, Johannes

Goeschl, Timo

Grant Number:

GO1604-01

Distributor:

heiDATA

Distributor:

HeiDATA: Heidelberg Research Data Repository

Access Authority:

Diederich, Johannes

Date of Deposit:

2014-10-16

Holdings Information:

https://doi.org/10.11588/data/10030

Study Scope

Keywords:

Social Sciences, Climate change, EU ETS, Field experiment, Online experiment, Public goods, Voluntary contributions, Voluntary climate action, Willingness to pay

Topic Classification:

C93, Q51, Q54

Abstract:

The determinants of individual, voluntary climate action (VCA) in combating climate change and its potential scale are frequently debated in public but largely underresearched. We provide estimates of the willingness to individually reduce EU greenhouse gas emissions by one ton, using the European Union Emissions Trading Scheme. Estimates are derived from an online field experiment with a large, highly heterogenous, and Internet-representative sample of voting-aged Germans. Jointly estimating willingness to pay (WTP), non-indifference to VCA, and prior knowledge, we uncover important determinants of preferences for VCA, such as education, the information structure among the population, and exogenous environmental conditions.

Date of Collection:

2010-05-

Country:

Germany

Geographic Coverage:

Germany

Universe:

Voting-aged Germans, Internet-representative

Kind of Data:

Survey data, choices among options with real monetary consequences (experimental data), matched observed data on weather conditions, media coverage.

Methodology and Processing

Time Method:

panel

Data Collector:

YouGov

Frequency of Data Collection:

2 points in time, back-to-back in the experiment/survey

Sampling Procedure:

Panel maintained by YouGov (approx. 65,000 members in Germany in 2010)

Mode of Data Collection:

Online experiment/survey

Type of Research Instrument:

structured

Sources Statement

Data Sources:

YouGov, German Weather Service (DWD), LexisNexis

Data Access

Restrictions:

The dataset comprises data which are subject to copright restrictions. Part of the data can be requested from the author.

Access Authority:

Please direct access requests to diederich@eco.uni-heidelberg.de

Other Study Description Materials

Related Publications

Citation

Title:

Diederich, J., Goeschl, T. (2014). Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence. Environmental & Resource Economics 57:405-29

Identification Number:

10.1007/s10640-013-9686-3

Bibliographic Citation:

Diederich, J., Goeschl, T. (2014). Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence. Environmental & Resource Economics 57:405-29

Other Study-Related Materials

Label:

2013-03_Data-DC-Fld_konvertiert.zip

Text:

for internal use only

Notes:

application/zip

Other Study-Related Materials

Label:

Diederich-Goeschl_2014_WTP-for-VCA_ERE-57_405-29.do

Text:

do-File

Notes:

text/x-stata-syntax; charset=US-ASCII

Other Study-Related Materials

Label:

Diederich-Goeschl_2014_WTP-for-VCA_ERE-57_405-29.dta

Text:

Data

Notes:

application/x-stata