TY - CHAP
T1 - Impact of Trade Inequality on Environmental Quality
T2 - A Global Assessment
AU - Sinha, Avik
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - The interaction between environmental degradation and economic growth is a growing matter of interest among policymakers, and in the era of globalized economy, trade openness plays a significant role in determining the economic growth of nations. Given this context, this paper examines the impact of inequality in trade volume on CO2 emissions, following environmental Kuznets curve (EKC) hypothesis, for 187 countries and over the period of 1990–2017. In terms of methodology, this study has employed Generalized Method of Moments (GMM) and Geweke (J Am Stat Assoc 77:304–313, [22]) causality analysis, while checking for the cross-sectional dependence. The study has been carried out on both aggregate and disaggregated dataset. Disaggregation of the dataset has been done based on the income levels (low, middle, and high) and continents (Asia, Europe, North America, South America, Oceania, and Africa). This study has found the evidence of N-shaped EKC for both the aggregate and disaggregated dataset. The impacts of inequality in trade volume and globalization differ in accordance with the level of development of the nations under consideration.
AB - The interaction between environmental degradation and economic growth is a growing matter of interest among policymakers, and in the era of globalized economy, trade openness plays a significant role in determining the economic growth of nations. Given this context, this paper examines the impact of inequality in trade volume on CO2 emissions, following environmental Kuznets curve (EKC) hypothesis, for 187 countries and over the period of 1990–2017. In terms of methodology, this study has employed Generalized Method of Moments (GMM) and Geweke (J Am Stat Assoc 77:304–313, [22]) causality analysis, while checking for the cross-sectional dependence. The study has been carried out on both aggregate and disaggregated dataset. Disaggregation of the dataset has been done based on the income levels (low, middle, and high) and continents (Asia, Europe, North America, South America, Oceania, and Africa). This study has found the evidence of N-shaped EKC for both the aggregate and disaggregated dataset. The impacts of inequality in trade volume and globalization differ in accordance with the level of development of the nations under consideration.
KW - CO
KW - EKC hypothesis
KW - Inequality
KW - Theil index
KW - Trade volume
UR - http://www.scopus.com/inward/record.url?scp=85066286358&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-06001-5_7
DO - 10.1007/978-3-030-06001-5_7
M3 - Chapter
AN - SCOPUS:85066286358
T3 - Green Energy and Technology
SP - 167
EP - 194
BT - Green Energy and Technology
PB - Springer Verlag
ER -