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The social multiplier of environmental policy: Application to carbon taxation

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  • Konc, Théo
  • Savin, Ivan
  • van den Bergh, Jeroen C.J.M.

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.

Suggested Citation

  • Konc, Théo & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "The social multiplier of environmental policy: Application to carbon taxation," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
  • Handle: RePEc:eee:jeeman:v:105:y:2021:i:c:s0095069620301194
    DOI: 10.1016/j.jeem.2020.102396
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    4. Che, Yuyuan & Feng, Hongli & Hennessy, David A., 2023. "Will adoption occur if a practice is win-win for profit and the environment? An application to a rancher's grazing practice choices," Ecological Economics, Elsevier, vol. 209(C).
    5. Massimiliano Rizzati & Emanuele Ciola & Enrico Turco & Davide Bazzana, 2024. "Beyond Green Preferences: Alternative Pathways to Net-Zero Emissions in the MATRIX model," Working Papers 2024.03, Fondazione Eni Enrico Mattei.
    6. Mattauch, Linus & Hepburn, Cameron & Spuler, Fiona & Stern, Nicholas, 2022. "The economics of climate change with endogenous preferences," Resource and Energy Economics, Elsevier, vol. 69(C).
    7. Foramitti, Joël, 2023. "A framework for agent-based models of human needs and ecological limits," Ecological Economics, Elsevier, vol. 204(PA).
    8. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    9. Jeroen den Bergh & Ivan Savin, 2021. "Impact of Carbon Pricing on Low-Carbon Innovation and Deep Decarbonisation: Controversies and Path Forward," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 705-715, December.

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    More about this item

    Keywords

    Carbon pricing; Climate policy; Externality taxation; Endogenous preferences; Social network;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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