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The spatial spillover effect of China's carbon emissions trading policy on industrial carbon intensity: Evidence from a spatial difference-in-difference method

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  • Dai, Shufen
  • Qian, Yawen
  • He, Weijun
  • Wang, Chen
  • Shi, Tianyu

Abstract

The carbon emissions trading (CET) market has been viewed as an effective way to improve CO2 emissions performance against the background of achieving China's carbon neutrality before 2060. This study investigates the spatial spillover effects of the CET policy on industrial carbon intensity reduction by developing spatial difference-in-differences (SDID) models. Then, a mediating effect model is used to test whether technological progress is a mediating variable of the spillover effects of the CET policy. The results show that the CET policy has negative spatial spillover effects, implying that the local CET policy has significantly reduced the industrial carbon intensity in the surrounding area. Technological progress is confirmed to be a mediating variable by which the CET policy reduces carbon intensity in the surrounding area. Hence, we suggest establishing a unified CET system including all industries with high emissions in China, and upgrading the low carbon technologies as soon as possible.

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  • Dai, Shufen & Qian, Yawen & He, Weijun & Wang, Chen & Shi, Tianyu, 2022. "The spatial spillover effect of China's carbon emissions trading policy on industrial carbon intensity: Evidence from a spatial difference-in-difference method," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 139-149.
    • Handle: RePEc:eee:streco:v:63:y:2022:i:c:p:139-149
    DOI: 10.1016/j.strueco.2022.09.010
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    Cited by:

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    2. Weijia Cui & Xueqin Lin & Dai Wang & Ying Mi, 2022. "Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China," Land, MDPI, vol. 12(1), pages 1-21, December.

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