JRC Data Catalogue
DATASETCompleted

Synergies of interventions to promote pro-environmental behaviors – A meta-analysis of experimental studies

QR code

Replication package

Contributors

How to cite

Alt, Marius; Bruns, Hendrik; Della Valle, Nives; Murauskaite-Bull, Ingrida (2026): Synergies of interventions to promote pro-environmental behaviors – A meta-analysis of experimental studies. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.931ZFGG PID: http://data.europa.eu/89h/45a199a1-a67d-489e-bc6e-11060ca78f81

Keywords

ExperimentsInterventionsMeta-analysisPro-environmental behaviorSynergies

Data access

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Publications

Publication
Alt, M., Bruns, H., DellaValle, N., & Murauskaite-Bull, I. (2024). Synergies of interventions to promote pro-environmental behaviors–A meta-analysis of experimental studies. Global Environmental Change, 84, 102776.
Publication
Alt, M., Bruns, H., Della Valle, N. and Murauskaite-Bull, I., Synergies of interventions to promote pro-environmental behaviors – A meta-analysis of experimental studies, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, ISSN 0959-3780 (online), 84, 2024, p. 102776, JRC130163.
ELSEVIER SCI LTD, OXFORD, ENGLAND
  • Addressing the threat of climate change requires effective environmental regulation to induce pro-environmental behavior. While various policy interventions already exist, combining different policies may offer greater effectiveness in dealing with market failures, multiple environmental objectives, and mitigating the regressive effects of single policies. In this meta-study, we investigate the potential synergies between policy interventions by rigorously assessing their comparative effectiveness when used individually versus in combination. We focus on experimental studies providing comparable findings from controlled settings to facilitate an empirically grounded understanding of climate policy synergies. Our analysis reveals negative synergy effects, indicating that, on average, the analyzed policy mixes are less effective than the sum of their individual intervention effects. However, we also find that policy mixes can offset the negative effects of single policies. Notably, combinations involving nudges and monetary incentives prove particularly effective in promoting pro-environmental behavior. Lastly, behavioral changes induced by policy mixes tend to wane faster compared to single interventions once the policies are removed. Our study provides important scientific and policy-relevant insights regarding the performance of policy mixes.

Additional information

Published by
European Commission, Joint Research Centre
Contact email
JRC-CCBI (at) ec.europa.eu
Update frequency
other

The event occurs with another type of regularity (for instance, every leap year).

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Issued date
2024-01-18
Created date
08 May 2024 08:11
Modified date
22 May 2024 09:49
Dataset identifier
Other identifiers
Rate this page
Please vote (optional).
An unhandled error has occurred. Reload 🗙