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Mean-Field Modeling of Green Technology Adoption: A Competition for Incentives

Author

Listed:
  • Luca Grosset

    (Department of Mathematics “Tullio Levi-Civita”, University of Padova, Via Trieste, 63, 35121 Padova, Italy
    These authors contributed equally to this work.)

  • Elena Sartori

    (Department of Mathematics “Tullio Levi-Civita”, University of Padova, Via Trieste, 63, 35121 Padova, Italy
    These authors contributed equally to this work.)

Abstract

This paper investigates the role of fiscal incentives in promoting the transition to a green economy using a dynamic mean-field game framework. By modeling firms as representative agents undergoing an environmentally sustainable transition, we analyze two distinct types of incentive structure: fixed incentives and incentives based on the average behavior of firms. The findings underscore the importance of balancing incentive structures to avoid economic inefficiencies and ensure a smooth ecological transition.

Suggested Citation

  • Luca Grosset & Elena Sartori, 2025. "Mean-Field Modeling of Green Technology Adoption: A Competition for Incentives," Mathematics, MDPI, vol. 13(5), pages 1-18, February.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:5:p:691-:d:1596085
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    References listed on IDEAS

    as
    1. Yuan, Shengyun & Li, Changhao & Wang, Mingyang & Wu, Hao & Chang, Lei, 2023. "A way toward green economic growth: Role of energy efficiency and fiscal incentive in China," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 599-609.
    2. Marcello Galeotti & Emanuele Vannucci, 2023. "Green economy with efficient public incentives," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(2), pages 667-680, December.
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    Cited by:

    1. Ji, Jingsong & Xu, Xiaoxiao & Tam, Vivian W.Y. & Zhang, Yangzi, 2025. "Revealing public attitudes toward ‘substituting plastic with bamboo’ in China: Sentiment and topic analyses using social media data," Forest Policy and Economics, Elsevier, vol. 176(C).

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