Existing studies disjointly addressed the environmental convergence and environmental Kuznets curve hypotheses, though these research lines are theoretically interconnected. This paper proposes a unified empirical methodology to simultaneously investigate both hypotheses, relying on a semiparametric dynamic panel data model that accounts for regressor endogeneity. The approach, when applied to CO2 emissions in 106 countries, suggests that there is no global level evidence supporting the environmental Kuznets hypothesis, while a convergence process is taking place. Our results imply that current international agreements have not been sufficiently binding to globally curb CO2 emissions, especially in high-income countries, as aimed by Sustainable Development Goals.

Environmental convergence and environmental Kuznets curve: A unified empirical framework

MARTINO, Roberto;
2020-01-01

Abstract

Existing studies disjointly addressed the environmental convergence and environmental Kuznets curve hypotheses, though these research lines are theoretically interconnected. This paper proposes a unified empirical methodology to simultaneously investigate both hypotheses, relying on a semiparametric dynamic panel data model that accounts for regressor endogeneity. The approach, when applied to CO2 emissions in 106 countries, suggests that there is no global level evidence supporting the environmental Kuznets hypothesis, while a convergence process is taking place. Our results imply that current international agreements have not been sufficiently binding to globally curb CO2 emissions, especially in high-income countries, as aimed by Sustainable Development Goals.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11389/70360
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