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中国碳交易试点政策的节能减排效果:基于准自然实验的证据。

The Energy Saving and Emission Reduction Effect of Carbon Trading Pilot Policy in China: Evidence from a Quasi-Natural Experiment.

机构信息

School of Economics, Nanjing Audit University, Nanjing 211815, China.

Reading Academy, Nanjing University of Information Science and Technology, Nanjing 210044, China.

出版信息

Int J Environ Res Public Health. 2022 Jul 28;19(15):9272. doi: 10.3390/ijerph19159272.

DOI:10.3390/ijerph19159272
PMID:35954628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9367900/
Abstract

Promoting the carbon emission trading system has been a crucial measure for China to fulfill its carbon neutrality commitment. Taking the carbon emission trading system implemented in China in 2013 as a quasi-natural experiment, based on the provincial panel data of China from 2005 to 2019, this paper adopts the difference-in-difference (DID) method and the synthetic control method (SCM) to evaluate the impact of the carbon emission trading system on energy conservation and emission reduction in pilot provinces and cities. The research findings reveal that, on the whole, the carbon emission trading system has significantly promoted the process of energy conservation and emission reduction in pilot provinces and cities. Other robustness tests, including the parallel trend test, PSM-DID stationarity test and placebo test have also been passed. Heterogeneity analysis shows that the most significant policy effects occur in Tianjin and Shanghai, followed by Hubei. The emission reduction effect of Guangdong displays a trend of first decreasing and then increasing. The test results demonstrate that the carbon emission trading system can strengthen the process of energy conservation and emission reduction by optimizing the industrial structure and energy structure. In conclusion, policy makers should coordinate the relationship between the government and the market and speed up the transformation of environmental policy from command control type to market incentive type. Meanwhile, improve the property right system and accelerate the promotion of carbon emission trading pilot policies in China according to local conditions. By encouraging technological innovation, a new market-oriented path of energy conservation and emission reduction guided by the enhancement of energy efficiency and the optimization of energy and industrial structures ought to be formed.

摘要

推动碳排放交易体系建设是中国实现碳达峰碳中和承诺的关键举措。本文以中国 2013 年开展的碳交易试点为准自然实验,利用 2005-2019 年中国省级面板数据,采用双重差分法(Difference-in-Difference,DID)和合成控制法(Synthetic Control Method,SCM)评估碳交易政策对试点省市节能减排的影响。研究结果表明,总体来看,碳交易政策显著促进了试点省市的节能减排进程。进一步的平行趋势检验、PSM-DID 平稳性检验和安慰剂检验均通过稳健性检验。异质性分析发现,天津和上海的政策效果最为显著,其次是湖北,广东的减排效果呈现先降后升的趋势。研究结果表明,碳交易政策可以通过优化产业结构和能源结构来强化节能减排进程。因此,政策制定者应协调政府与市场的关系,加快环境政策从命令控制型向市场激励型转变。同时,完善产权制度,因地制宜地加快推进中国碳交易试点政策。通过鼓励技术创新,形成以提高能源效率和优化能源及产业结构为导向的市场主导型节能减排新路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/1ba48627ec03/ijerph-19-09272-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/85d42f67b403/ijerph-19-09272-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/c7faeaac874b/ijerph-19-09272-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/aed16511ca24/ijerph-19-09272-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/1ba48627ec03/ijerph-19-09272-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/85d42f67b403/ijerph-19-09272-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/c7faeaac874b/ijerph-19-09272-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/aed16511ca24/ijerph-19-09272-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/9367900/1ba48627ec03/ijerph-19-09272-g004.jpg

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本文引用的文献

1
Impacts of the carbon emission trading system on China's carbon emission peak: a new data-driven approach.碳排放交易体系对中国碳排放达峰的影响:一种新的数据驱动方法。
Nat Hazards (Dordr). 2021;107(3):2487-2515. doi: 10.1007/s11069-020-04469-9. Epub 2021 Jan 3.
2
Urban carbon emission intensity under emission trading system in a developing economy: evidence from 273 Chinese cities.发展中经济体排放交易体系下的城市碳排放强度:来自中国 273 个城市的证据。
Environ Sci Pollut Res Int. 2021 Feb;28(5):5168-5179. doi: 10.1007/s11356-020-10785-1. Epub 2020 Sep 21.
3
How does emission trading reduce China's carbon intensity? An exploration using a decomposition and difference-in-differences approach.
排放交易如何降低中国的碳强度?基于分解法和双重差分法的探究
Sci Total Environ. 2019 Aug 1;676:514-523. doi: 10.1016/j.scitotenv.2019.04.303. Epub 2019 Apr 23.
4
What are the main factors affecting carbon price in Emission Trading Scheme? A case study in China.在排放交易计划中,影响碳价格的主要因素有哪些?以中国为例的研究。
Sci Total Environ. 2019 Mar 1;654:525-534. doi: 10.1016/j.scitotenv.2018.11.106. Epub 2018 Nov 9.
5
Can a carbon emission trading scheme generate the Porter effect? Evidence from pilot areas in China.碳排放权交易计划能否产生波特效应?来自中国试点地区的证据。
Sci Total Environ. 2019 Feb 25;653:565-577. doi: 10.1016/j.scitotenv.2018.10.395. Epub 2018 Oct 30.