Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications

Zhangqi Zhong, Xu Zhang and Weina Gao
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Zhangqi Zhong: School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, China
Xu Zhang: School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, China
Weina Gao: The New Types Key Think Tank of Zhejiang Province, China Research Institute of Regulation and Public Policy, Zhejiang University of Finance & Economics, Hangzhou 310018, China

IJERPH, 2020, vol. 17, issue 14, 1-24

Abstract: Global climate change caused by greenhouse gas emissions (GHGs) from anthropogenic activities have already become the focus of the world. A more systematic and comprehensive analysis on the factors influencing the changes of global GHGs transferring via trade have not been fully discussed. To this end, employing spatial econometric regression models and multi-regional input-output models, this paper reveals factors influencing the GHGs transferring via trade changes in 39 major economies, so as to develop the relevant GHGs reduction policies. The results indicate that regions with the highest net outflow of GHGs transferring via trade are primarily Russia and Canada, and the adverse effects of promoting GHGs reduction on the national economy could be avoided by these regions owing to trade relations. Additionally, factors influencing the changes in GHGs transferring via trade have significant spatial autocorrelation, and population size and energy structure exert significant spatial spillover effects on the changes in the GHGs transferring via trade. On this basis, this paper suggests that one more effective way to prevent trade from the rigorous demands of environmental governance measures while preserving the economic benefits of international trade may be to facilitate cooperation between countries on GHGs mitigation. Further, we articulate more balanced environment governance policies, including conducting the sharing of advanced energy technologies and developing clearer production technologies.

Keywords: economic production; environment governance; energy structure; spatial econometric regression models; multi-regional input-output models (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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