Abstract
We analyze the effectiveness of environmental policy when consumers are subject to social influence. To this end, we build a model of consumption decisions driven by socially-embedded preferences formed under the influence of peers in a social network. This setting gives rise to a social multiplier of environmental policy. In an application to climate change, we derive Pigouvian and target-achieving carbon taxes under socially-embedded preferences. Under realistic assumptions the social multiplier is equal to 1.30, allowing to reduce the effective tax by 38%. We show that the multiplier depends on four factors: strength of social influence, initial taste distribution, network topology and income distribution. The approach provides a basis for rigorously analyzing a transition to low-carbon lifestyles and identifying complementary information and network policies to maximize the effectiveness of carbon taxation.
Original language | English |
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Article number | 102396 |
Pages (from-to) | 1-22 |
Number of pages | 22 |
Journal | Journal of Environmental Economics and Management |
Volume | 105 |
Early online date | 15 Nov 2020 |
DOIs | |
Publication status | Published - Jan 2021 |
Funding
This work was supported by an ERC Advanced Grant under the European Union's Horizon 2020 research and innovation program [grant agreement Nr. 741087 ]. I.S. acknowledges support from the Russian Science Foundation [RSF grant number 19-18-00262 ]. We have greatly benefited from comments by Stefano Carattini, Diego d’Andria, Rick van der Ploeg and Cees Withagen on an earlier version of the manuscript. We thank the three anonymous reviewers and the editor whose suggestions helped improve and clarify this manuscript. We also thank the participants of the INET Oxford Visitor Seminar and a seminar at the Mercator Research Institute on Global Commons and Climate Change. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Funders | Funder number |
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European Union's Horizon 2020 research and innovation program | |
Horizon 2020 Framework Programme | 741087 |
European Research Council | |
Russian Science Foundation | 19-18-00262 |
Horizon 2020 |
Keywords
- Carbon pricing
- Climate policy
- Endogenous preferences
- Externality taxation
- Social network