Literature DB >> 31054412

How does emission trading reduce China's carbon intensity? An exploration using a decomposition and difference-in-differences approach.

Bo Zhou1, Cheng Zhang2, Haiying Song3, Qunwei Wang4.   

Abstract

Emission trading is a market-driven method to more quickly reduce carbon intensity, and has been widely used in countries with significant carbon emissions. In 2013, the Chinese government established pilot carbon emission trading programs in seven provinces. However, there is incomplete research on the effect and influencing channels of emission trading on carbon intensity reduction. To explore these problems, this study conducted an empirical analysis, using a decomposition and difference-in-differences approach. The main conclusions are as follows: (1) Overall, China's emission trading pilots have driven a significant decline in the carbon intensity, resulting in an average annual decline of approximately 0.026 tons/10,000 yuan in the pilot provinces. (2) In the sample period, emission trading pilots had a sustained and stable effect on carbon intensity with no time lag. (3) Emission trading pilots reduce the carbon intensity by adjusting the industrial structure. In contrast, energy structure and energy intensity channels have not yet been realized.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon emission trading; Carbon intensity; China; LMDI; PSM-DID

Year:  2019        PMID: 31054412     DOI: 10.1016/j.scitotenv.2019.04.303

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  11 in total

1.  How does urbanization affect carbon emission intensity under a hierarchical nesting structure? Empirical research on the China Yangtze River Delta urban agglomeration.

Authors:  Feng Wang; Ge Wang; Juan Liu; Hongtao Chen
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-04       Impact factor: 4.223

2.  Study on the Co-Benefits of Air Pollution Control and Carbon Reduction in the Yellow River Basin: An Assessment Based on a Spatial Econometric Model.

Authors:  Zhongyao Cai; Xiaohui Yang; Huaxing Lin; Xinyu Yang; Ping Jiang
Journal:  Int J Environ Res Public Health       Date:  2022-04-09       Impact factor: 4.614

3.  Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China.

Authors:  Ruoxi Zhong; Qiang He; Yanbin Qi
Journal:  Int J Environ Res Public Health       Date:  2022-05-26       Impact factor: 4.614

4.  A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action.

Authors:  Xuhui Ding; Zhongyao Cai; Qianqian Xiao; Suhui Gao
Journal:  Int J Environ Res Public Health       Date:  2019-11-13       Impact factor: 3.390

5.  Environmental regulation and corporate tax avoidance-Evidence from China.

Authors:  Xiaokang Yang; Junbing Xu; Minling Zhu; Yinglong Yang
Journal:  PLoS One       Date:  2022-01-13       Impact factor: 3.240

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

Authors:  Huan Zhang; Jingyu Wu
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

7.  Preventing a rebound in carbon intensity post-COVID-19 - lessons learned from the change in carbon intensity before and after the 2008 financial crisis.

Authors:  Qiang Wang; Shasha Wang; Xue-Ting Jiang
Journal:  Sustain Prod Consum       Date:  2021-04-24

8.  Can China's Carbon Emissions Trading System Achieve the Synergistic Effect of Carbon Reduction and Pollution Control?

Authors:  Li Chen; Di Wang; Ruyi Shi
Journal:  Int J Environ Res Public Health       Date:  2022-07-22       Impact factor: 4.614

9.  Is Emissions Trading Scheme (ETS) an Effective Market-Incentivized Environmental Regulation Policy? Evidence from China's Eight ETS Pilots.

Authors:  Shanglei Chai; Ruixuan Sun; Ke Zhang; Yueting Ding; Wei Wei
Journal:  Int J Environ Res Public Health       Date:  2022-03-08       Impact factor: 3.390

10.  Nexus between green finance and climate change mitigation in N-11 and BRICS countries: empirical estimation through difference in differences (DID) approach.

Authors:  Muhammad Atif Nawaz; Usha Seshadri; Pranav Kumar; Ramaisa Aqdas; Ataul Karim Patwary; Madiha Riaz
Journal:  Environ Sci Pollut Res Int       Date:  2020-09-30       Impact factor: 5.190

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