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Information Provision in Environmental Policy Design

Author

Listed:
  • Vera Danilina

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Alexander Grigoriev

    (ASE - Amsterdam School of Economics - UvA - University of Amsterdam [Amsterdam] = Universiteit van Amsterdam, The Maastricht University School of Business and Economics - Maastricht University [Maastricht])

Abstract

Information provision is a relatively recent but steadily growing environmental policy tool. Its emergency and topicality are due to the current escalation of ecological threats. Meanwhile, its high complexity and flexibility require a comprehensive approach to its design, which has to be tailored for specific characteristics of production process, market structure, and regulatory goals. This work proposes such an approach and builds a framework based on a three-level mathematical program extending well-known two-level Stackelberg game by introducing one more economic agent and one extra level of this sequential game. This study provides simple and very intuitive algorithms to compute optimal multi-tier information provision policies, both mandatory and voluntary. The paper urges for the wide implementation of such efficient environmental policy design tools.

Suggested Citation

  • Vera Danilina & Alexander Grigoriev, 2020. "Information Provision in Environmental Policy Design," Post-Print hal-02110860, HAL.
    • Handle: RePEc:hal:journl:hal-02110860
    DOI: 10.3808/jei.201900410
    as

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    Cited by:

    1. Keshav Lall Maharjan & Clarisse Mendoza Gonzalvo & Wilson Florendo Aala, 2021. "Leveraging Japanese Sado Island Farmers’ GIAHS Inclusivity by Understanding Their Perceived Involvement," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    2. Jing Liu & Yongping Li & Gordon Huang & Yujin Yang & Xiaojie Wu, 2021. "A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    3. Liu, Yanyan & Huang, Guohe & Chen, Jiapei & Zhang, Xiaoyue & Zheng, Xiaogui & Zhai, Mengyu, 2022. "Development of an optimization-aided small modular reactor siting model – A case study of Saskatchewan, Canada," Applied Energy, Elsevier, vol. 305(C).
    4. Bo Peng & Kun Lei, 2021. "An Analytical Approach for Initial Allocation of Discharge Permits with Consideration of the Water Environmental Capacity and Industrial Technical Feasibility," Sustainability, MDPI, vol. 13(24), pages 1-16, December.

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