Research on the Spatio-Temporal Distribution and Influencing Factors of Carbon Emissions in China's Power Industry

LEI Shaobo; TONG Chenhua; XIAO Bin; FAN Haoyan

doi:10.12338/j.issn.2096-9015.2024.0170

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LEI Shaobo, TONG Chenhua, XIAO Bin, FAN Haoyan. Research on the Spatio-Temporal Distribution and Influencing Factors of Carbon Emissions in China's Power Industry[J]. Metrology Science and Technology. doi: 10.12338/j.issn.2096-9015.2024.0170

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LEI Shaobo, TONG Chenhua, XIAO Bin, FAN Haoyan. Research on the Spatio-Temporal Distribution and Influencing Factors of Carbon Emissions in China's Power Industry[J]. Metrology Science and Technology. doi: 10.12338/j.issn.2096-9015.2024.0170

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Research on the Spatio-Temporal Distribution and Influencing Factors of Carbon Emissions in China's Power Industry

doi: 10.12338/j.issn.2096-9015.2024.0170

Electric Energy Measurement Branch of Inner Mongolia Power (Group) Co., Ltd., Hohhot 010000, China

Received Date: 2024-05-23
Accepted Date: 2024-07-30
Rev Recd Date: 2024-08-01

Available Online: 2024-08-27

Abstract

Abstract

In 2020, China proposed the goals of carbon peaking and carbon neutrality. As a key industry, the carbon emissions of the power sector play a crucial role in achieving these objectives. This study analyzes the characteristics and influencing factors of carbon emissions in China’s power industry by applying traditional statistical methods to the spatio-temporal data of carbon emissions and utilizing grey correlation analysis to assess the impact of different energy sources on carbon emissions in the sector. Temporally, carbon emissions in China's power industry have been rising annually, with fluctuating growth rates. Spatially, the Bohai Rim region consistently exhibits high carbon emissions, while regions like Inner Mongolia and Xinjiang show an upward trend, and the Jiangsu-Zhejiang-Shanghai region shows a downward trend. The grey correlation analysis results indicate that carbon emissions from raw coal, other petroleum products, coke oven gas, and other natural gas have a significant influence on the overall carbon emissions of the power industry.
- metrology,
- carbon emission,
- spatio-temporal data,
- grey correlation analysis,
- influencing factors

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References(24)

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