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The more the better? Synergies of prosocial interventions and effects on behavioural spillovers

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Contributors

How to cite

Alt, Marius; Bruns, Hendrik; Della Valle, Nives (2026): The more the better? Synergies of prosocial interventions and effects on behavioural spillovers. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.WHZFYF8 PID: http://data.europa.eu/89h/549365b8-ead0-48ea-b090-c98060c4bd14

Keywords

Behavioural interventionsBehavioural spilloversOnline experimentPolicy mixesPro-environmental behaviourProsocial behaviour

Data access

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Downloadable file

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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

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Publications

Publication
ALT, M., BRUNS, H. and DELLA VALLE, N., The more the better Synergies of prosocial interventions and effects on behavioural spillovers, JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, ISSN 1096-0449 (online), 128, 2024, p. 103061, JRC134028.
ACADEMIC PRESS INC ELSEVIER SCIENCE
  • Incentivising prosocial and pro-environmental behaviours is a sensitive endeavour. While behavioural change is urgently needed to mitigate the consequences of climate change, monetary interventions often have negative side effects. Such interventions are prone to motivation crowding, which can impede lasting positive behavioural change and stimulate negative temporal spillovers to other prosocial behaviours. In this study, we investigate whether implementing monetary interventions as part of policy mixes can mitigate these negative side effects. In an online experiment involving 3782 participants, we test whether the use of nudges that make personal and social norms salient can counteract the motivation-crowding effect and explore the effects of such policy mixes on temporal spillovers. We find that policy mixes of norm-based nudges and monetary incentives are more effective at stimulating engagement in targeted prosocial behaviour than no intervention when controlling for sample characteristics. Analysing the temporal spillover effects of these interventions reveals that policy mixes can alleviate the tendency of monetary incentives to negatively affect subsequent prosocial behaviour. This indicates that norm-based nudges are suitable complements to monetary interventions, facilitating long-lasting positive effects.

Additional information

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

The event occurs with unknown regularity.

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

Government and public sector

dataset theme covering the areas of government and the public sector, government being the system or group of individuals governing an organised community, usually a state, and the public sector comprising the segment of the economy involving public services and enterprises, which may be managed by central, regional or local authorities

Population and society

dataset theme covering the domains of population and society, where population refers to the total number of people residing within various geographic levels from cities to the global scale, and society denotes a collective of individuals engaged in continuous social interaction within a common territory, often under the same political and cultural norms

Geographical name(s)
Issued date
2023-09-19
Created date
09 Oct 2024 07:14
Modified date
09 Oct 2024 07:58
Dataset identifier
Other identifiers
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