This paper analyses the impacts of trading partners' environmental regulation on the export volumes of the Russian regions, using panel data covering about 140,000 observations in 84 Russian regions and 204 countries for the period 2013-2020. We employ the Gravity Model of international trade and Heckman Sample Selection methodology, with the fixed effects and random effects Poisson Pseudo-Maximum Likelihood techniques to analyse two subsamples of the Russian regions with different shares of environmentally sensitive goods in regional exports. As a robustness check, we utilize the non-parametric Driscoll-Kraay approach.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
October 2021
This paper measures the effects on carbon emissions of production scale, composition, technological use, and environmental policy to elucidate the environmental Kuznets curve (EKC) hypothesis, synthesising the propositions of Grossman and Krueger, Q J Econ, 110(2), 353-377 (1995) and Brock and Taylor (2005) for the case of seventy-seven regions of the Russian Federation from 1999 to 2015. To this end, we apply dynamic threshold regression due to its robustness in addressing non-linear asymmetry and unobserved individual heterogeneity issues. Our empirical investigation demonstrates that the gross regional products (GRP) per capita play a threshold role in supporting the EKC hypothesis and non-monotonic scale effect.
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