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Bandwagon Effects in International Environmental Agreements

Author

Listed:
  • Jonas Werth

    (Ca’ Foscari University of Venice; BI Norwegian Business School)

  • Alessia Russo

    (University of Padua; CEPR)

  • Fabio Miessi Sanches

    (São Paulo School of Economics)

Abstract

This paper develops a dynamic model of environmental treaty formation with heterogeneous countries that allows for entry, exit and country specific uncertainty on the benefits from other countries ratifying the treaty. Using a dataset comprising the cross-section of ratification dates of global environmental treaties for 1980-2020, we structurally estimate the model's parameters. The estimates inform about the existence of strategic complementarity or substitutability in the formation of environmental treaties, which occur when the relative benefits from cooperation increase or decrease after the inclusion of an additional country. Through counterfactual experiments, we illustrate how mechanisms fostering strategic complementarity can expedite the establishment of a grand coalition in support of environmental treaties and quantify associated welfare gains.

Suggested Citation

  • Jonas Werth & Alessia Russo & Fabio Miessi Sanches, 2024. "Bandwagon Effects in International Environmental Agreements," Working Papers 2024: 19, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2024:19
    as

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    References listed on IDEAS

    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Ulrich J. Wagner, 2016. "Estimating Strategic Models of International Treaty Formation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1741-1778.
    3. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    4. Carlo Carraro & Carmen Marchiori & Sonia Oreffice, 2009. "Endogenous Minimum Participation in International Environmental Treaties," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 411-425, March.
    5. Antoine Cazals & Alexandre Sauquet, 2015. "How do elections affect international cooperation? Evidence from environmental treaty participation," Public Choice, Springer, vol. 162(3), pages 263-285, March.
    6. Victor Aguirregabiria & Pedro Mira, 2007. "Sequential Estimation of Dynamic Discrete Games," Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
    7. Martin Pesendorfer & Philipp Schmidt-Dengler, 2008. "Asymptotic Least Squares Estimators for Dynamic Games -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 901-928.
    8. Bellelli, Francesco S. & Scarpa, Riccardo & Aftab, Ashar, 2023. "An empirical analysis of participation in international environmental agreements," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Dynamic Model Estimation; Heterogeneous Countries; International Environmental Agreement; Strategic Complementarity;
    All these keywords.

    JEL classification:

    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • F55 - International Economics - - International Relations, National Security, and International Political Economy - - - International Institutional Arrangements
    • H87 - Public Economics - - Miscellaneous Issues - - - International Fiscal Issues; International Public Goods
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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