Empirical analysis of the impact of China’s carbon emissions trading policy using provincial-level data

Q2 Energy Energy Informatics Pub Date : 2024-05-22 DOI:10.1186/s42162-024-00346-y
Xiaoguo Jiang, Weiwei Xu, Lixia Du
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Abstract

Investigating the impact of carbon emissions trading policy and elucidating the underlying mechanisms are crucial for enhancing policy effectiveness and refining related systems. This study examines the impact of carbon emissions trading policy by constructing a difference-in-difference model utilizing unbalanced panel data from China’s provinces spanning the period from 2005 to 2019. Additionally, a mediating effect model is employed to delve into the underlying mechanisms. The key findings are as follows: Firstly, the implementation of carbon emissions trading policy has a notable inhibitory impact on carbon emissions. Secondly, both the upgrading of industrial structure and the reduction of energy intensity play mediating roles in carbon emissions reduction. However, the development of clean energy industries does not exhibit a significant mediating effect. In conclusion, this study offers policy recommendations aimed at facilitating carbon reduction. These include enhancing the market-based trading mechanism for carbon emissions, optimizing and upgrading industrial structures, fostering innovation in green and low-carbon technologies, and promoting the development and utilization of clean energy.

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利用省级数据对中国碳排放权交易政策影响的实证分析
研究碳排放权交易政策的影响并阐明其内在机制对于提高政策有效性和完善相关制度至关重要。本研究利用 2005 年至 2019 年中国各省的非平衡面板数据,通过构建差分模型来研究碳排放权交易政策的影响。此外,研究还采用了中介效应模型来深入探讨其潜在机制。主要结论如下:首先,碳排放权交易政策的实施对碳排放有明显的抑制作用。其次,产业结构升级和能源强度降低对碳减排都起到了中介作用。但是,清洁能源产业的发展并没有表现出明显的中介效应。总之,本研究提出了旨在促进碳减排的政策建议。这些建议包括加强碳排放市场化交易机制、优化升级产业结构、促进绿色低碳技术创新、推动清洁能源开发利用等。
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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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