Abstract
Electric power industry, as one of the main industries leading to the increase of China's carbon emissions, accounts for about 40% of the total carbon emissions. It is of great practical significance to study the influencing factors of carbon emission decoupling index in power industry and put forward relevant policy suggestions. Based on the decoupling index of China’s electric power industry from 1995 to 2018, this paper explores the influence of each index on the decoupling index through the autoregressive- distributed lag model. It turns out that the policy will significantly change the rate of change of carbon emissions and the rate of economic growth, but the impact of the policy is extremely short-lived; power generation structure, environmental regulations, and total lighting value at night play a positive role in promoting the decoupling index, while thermal power fuel efficiency and power generation conversion ratio play a negative role in inhibiting the decoupling index. In addition, the influence of power generation structure, environmental regulations, and the total value of night light on decoupling index also has a lagging and cumulative effect. Therefore, we propose targeted policy recommendations for policy formulation, green development, and low carbon construction in China’s power industry from different perspectives based on the findings of the study.
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The author declares that the data found in support of this study are publicly available, and the data source is provided in the paper.
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This paper is supported by the National Natural Science Foundation of China (Grant No.71964022) and North China Electric Power University Central University Fund (Grant No. 2014MS150).
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Yanmei Li: conceptualization, validation, resources, review and editing, supervision, data curation, funding acquisition, and project administration. Dandan Niu: methodology, software, validation, formal analysis, and writing—original draft preparation. Jiawei Song: material preparation, data collection, analysis, and revision. All authors read and approved the final manuscript.
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Li, Y., Niu, D. & Song, J. Decoupling analysis of carbon emissions in China’s power industry—based on ARDL model. Environ Sci Pollut Res 29, 56535–56554 (2022). https://doi.org/10.1007/s11356-022-19765-z
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DOI: https://doi.org/10.1007/s11356-022-19765-z