Degrees of stringency matter: Revisiting the pollution haven hypothesis based on heterogeneous panels and aggregate data
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2019
- handle: 10670/1.70l8ca
- halshs: halshs-01655522
Mots-clés
C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C33 - Panel Data Models • Spatio-temporal Models F - International Economics/F.F1 - Trade/F.F1.F18 - Trade and Environment Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q56 - Environment and Development • Environment and Trade • Sustainability • Environmental Accounts and Accounting • Environmental Equity • Population GrowthSujets proches
Nurture and nature Nature versus nurture Genetics and environment Nature--Nurture Environment Heredity and environment Environment Ecological science Environmental biology Bionomics Ecological sciences Environment Balance of nature Oecology Biology--Ecology Ecological processes EnvironmentCiter ce document
Thomas Jobert et al., « Degrees of stringency matter: Revisiting the pollution haven hypothesis based on heterogeneous panels and aggregate data », HAL-SHS : économie et finance, ID : 10670/1.70l8ca
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Résumé
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.