School of Economics, Guangdong University of Finance and Economics, Guangzhou, 510320, China.
School of Finance, Guangdong University of Finance and Economics, Guangzhou, 510320, China.
Environ Sci Pollut Res Int. 2024 May;31(21):31081-31096. doi: 10.1007/s11356-024-33102-6. Epub 2024 Apr 16.
This paper uses green innovation and environmental pollution as the mediating variables to construct a mediating effect model to investigate whether China's carbon emission trading policy can improve regional eco-efficiency by reducing regional environmental pollution and stimulating green innovation. This study is based on panel data from 30 provinces and municipalities directly under China's central government and autonomous regions from 2003 to 2019. The eco-efficiency of these provinces is measured using the super-efficiency DEA model and the difference-in-difference method (DID). The results show that (1) China's emission trading policy significantly improves regional ecological efficiency and the per capita GDP. The improvement can effectively improve regional ecological efficiency. (2) The mediating effect of green innovation and environmental pollution is significant. That is, China's carbon emission trading policy further improves regional ecological efficiency by stimulating more green innovation and reducing the synergy brought by environmental pollution. (3) There are differences in the feedback of this impact mechanism between different regions: It shows the characteristics of the western region being more significant than the eastern region. The central region has no significant effect. The research conclusion can provide a policy reference for the subsequent unified promotion of the construction of a carbon emission trading market nationwide and a theoretical basis for helping to achieve the "dual carbon" goal.
本文以绿色创新和环境污染为中介变量,构建中介效应模型,探讨中国碳排放交易政策能否通过减少区域环境污染和刺激绿色创新来提高区域生态效率。本研究基于 2003 年至 2019 年中国 30 个省、自治区和直辖市的面板数据。采用超效率 DEA 模型和双重差分法(DID)衡量这些省份的生态效率。结果表明:(1)中国的排放交易政策显著提高了区域生态效率和人均 GDP。这种改善可以有效地提高区域生态效率。(2)绿色创新和环境污染的中介效应显著。也就是说,中国的碳排放交易政策通过刺激更多的绿色创新和减少环境污染带来的协同作用,进一步提高了区域生态效率。(3)这种影响机制的反馈在不同地区存在差异:西部地区比东部地区更为显著,中部地区则没有显著影响。研究结论可以为全国统一推进碳排放交易市场建设提供政策参考,为实现“双碳”目标提供理论依据。