Construction and Application of Enterprise Electric Carbon Model: A Study Based on Key Enterprises in Qinghai Province

Zengwei Li, Qifang Pan, Junyi Shi () and Haoyang Ji ()
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Zengwei Li: Information and Communication Company of State Grid Qinghai Electric Power, Xining 816099, China
Qifang Pan: School of Statistics, Beijing Normal University, Beijing 100875, China
Junyi Shi: School of Statistics, Beijing Normal University, Beijing 100875, China
Haoyang Ji: School of Economics, Peking University, Beijing 100871, China

Sustainability, 2025, vol. 17, issue 5, 1-13

Abstract: As the coverage of China’s carbon emissions trading market expands from the power industry to the cement, steel, and electrolytic aluminum industries, the measurement and verification of carbon emissions of Chinese enterprises become increasingly important. This paper draws on the IPCC inventory compilation method and constructs an electric carbon model at the enterprise level in terms of energy consumption and production process; at the same time, it collects microdata from a total of 44 enterprises in three industries, namely, electrolytic aluminum, cement, and ferroalloy, in Qinghai Province. Based on the constructed electric carbon model, high-frequency measurement of enterprise carbon emissions was conducted. In order to verify the validity of the results, this paper examines the results from the perspectives of internal logic and external standards. The examination shows that the carbon model constructed in this paper has advantages such as cost-effectiveness, high measurement frequency, and accuracy, and it is suitable for third-party verification organizations or relevant management departments to use in the wide-scale measurement and verification of carbon emissions of enterprises.

Keywords: electricity big data; electric carbon model; enterprise carbon emissions; high-frequency data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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