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Degrees of stringency matter: Revisiting the pollution haven hypothesis based on heterogeneous panels and aggregate data

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  • Thomas Jobert

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Fatih Karanfil

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Anna Tykhonenko

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

Abstract

Empirical studies on the trade-environment nexus that use panel data face two simultaneous challenges. One is associated with the potential presence of unobserved cross-country heterogeneity, while the other is due to the use of aggregate data. In this paper, we apply both the dynamic fixed effects and iterative empirical Bayes estimators to show first that when country heterogeneity is accurately accounted for in the estimation, it is possible to obtain significant impacts of trade variables on the environment, even though we use aggregate data. Second, using both the empirical Bayes parameter estimates and indicators of stringency of environmental regulations, we show that at low levels of stringency, the probability of having pollution-intensive foreign direct investments (FDIs) increases with a decrease in stringency.

Suggested Citation

  • Thomas Jobert & Fatih Karanfil & Anna Tykhonenko, 2019. "Degrees of stringency matter: Revisiting the pollution haven hypothesis based on heterogeneous panels and aggregate data," Post-Print halshs-01655522, HAL.
    • Handle: RePEc:hal:journl:halshs-01655522
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    Cited by:

    1. Lamperti, Francesco & Napoletano, Mauro & Roventini, Andrea, 2020. "Green Transitions And The Prevention Of Environmental Disasters: Market-Based Vs. Command-And-Control Policies," Macroeconomic Dynamics, Cambridge University Press, vol. 24(7), pages 1861-1880, October.
    2. Anna Tykhonenko & Donnat Grégory, 2022. "Debt Relief: The Day After, Financing Low-Income Countries," Post-Print hal-04298772, HAL.
    3. repec:hal:spmain:info:hdl:2441/14g286e42n8bl9is6h16b18kes is not listed on IDEAS
    4. Elkhan Richard Sadik-Zada & Mattia Ferrari, 2020. "Environmental Policy Stringency, Technical Progress and Pollution Haven Hypothesis," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    5. Justyna Godawska & Joanna Wyrobek, 2021. "The Impact of Environmental Policy Stringency on Renewable Energy Production in the Visegrad Group Countries," Energies, MDPI, vol. 14(19), pages 1-23, September.
    6. Karanfil, Fatih & Omgba, Luc Désiré, 2019. "Do the IMF’s structural adjustment programs help reduce energy consumption and carbon intensity? Evidence from developing countries," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 312-323.

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