Regional Differences in the Emission-Reduction Effect of Environmental Regulation Based on the Perspective of Embodied Carbon Spatial Transfer Formed by Inter-Regional Trade

Zhijian Chen (), Li Zhang, Yujie Zhang, Yun Zhao and Zhangqi Zhong
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Zhijian Chen: School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
Li Zhang: School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
Yujie Zhang: School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
Yun Zhao: School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
Zhangqi Zhong: School of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou 510006, China

Sustainability, 2022, vol. 14, issue 15, 1-15

Abstract: On the basis of the latest input–output data, this paper estimates the amount of embodied carbon emissions in inter-regional trade by constructing a multiregional input–output model to evaluate how environmental regulation stringency influences its spatial transfer. We found that environmental regulation stringency had significant positive correlation with transferring out embodied carbon emissions in trade at the national level, and a significant negative correlation with transferring in embodied carbon emissions in trade. In East and Central China, effective environmental regulation observably improves the issue of carbon emissions caused by trade, while in the western region, environmental regulation stringency had significant positive correlation with transferring in and out embodied carbon emissions in inter-regional trade. For that reason, we further use the geographically weighted regression model (GWR) to assess the spatial evolution characteristics of the intensity of environmental regulation on the transfer of embodied carbon emissions in trade; thereby, the above results are verified and show that environmental regulation has failed to play its due role.

Keywords: environmental regulation; embodied carbon emissions; inter-regional input–output table; geographically weighted regression (GWR) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:15:p:9707-:d:882146

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