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The Spatial-Temporal Evolution of China’s Carbon Emission Intensity and the Analysis of Regional Emission Reduction Potential under the Carbon Emissions Trading Mechanism

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  • Xiufan Zhang

    (College of Business Administration, Zhejiang Sci-Tech University, Hangzhou 310018, China
    School of Economics and Management, Harbin Engineering University, Harbin 150009, China)

  • Decheng Fan

    (School of Economics and Management, Harbin Engineering University, Harbin 150009, China)

Abstract

It is of great significance to study the regional differences and temporal and spatial evolution of China’s carbon emission intensity under the carbon emissions trading mechanism, and to explore the potential for regional emission reduction. This paper uses the Theil index and Moran index to analyze the regional differences and temporal and spatial evolution trend of carbon emission intensity in China from 2010 to 2019, further constructs the emission reduction effect standard of carbon emissions trading mechanisms, discusses the emission reduction effect of the trading mechanisms, and measures the regional emission reduction potential according to the environmental learning curve. The results showed that: (1) China’s overall carbon emissions continued to increase, but the carbon emission intensity showed an overall decreasing trend. There are strong regional differences in China’s carbon emission intensity. The carbon emission intensity in the western region is higher, and the overall regional difference is decreasing year by year. (2) China’s carbon emissions trading mechanism has a significant reduction effect, but the total quota slack of the Tianjin, Beijing, and Chongqing carbon emissions trading pilot markets is loose. (3) Shanghai, Shanxi, Jiangxi, Guizhou, Inner Mongolia, and Beijing are high-efficiency carbon emission reduction provinces (more than 35%), and Fujian and Xinjiang are low-efficiency carbon emission reduction provinces (less than 15%). It is necessary to further develop the demonstration effect of high emission reduction potential areas and increase the emission reduction efforts in low emission reduction potential areas.

Suggested Citation

  • Xiufan Zhang & Decheng Fan, 2022. "The Spatial-Temporal Evolution of China’s Carbon Emission Intensity and the Analysis of Regional Emission Reduction Potential under the Carbon Emissions Trading Mechanism," Sustainability, MDPI, vol. 14(12), pages 1-29, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7442-:d:841583
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    1. Qiuyue Xia & Lu Li & Jie Dong & Bin Zhang, 2021. "Reduction Effect and Mechanism Analysis of Carbon Trading Policy on Carbon Emissions from Land Use," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    2. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    3. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    4. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    5. Liu, Yunqiang & Liu, Sha & Shao, Xiaoyu & He, Yanqiu, 2022. "Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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    2. Wenjun Ge & Derong Yang & Weineng Chen & Sheng Li, 2023. "Can Setting Up a Carbon Trading Mechanism Improve Urban Eco-Efficiency? Evidence from China," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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