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Reduce carbon emissions efficiently: The influencing factors and decoupling relationships of carbon emission from high-energy consumption and high-emission industries in China

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  • Xiaopeng Guo
  • Rong Shi
  • Dongfang Ren

Abstract

High-energy consumption and high-emission industries contribute a lot to economic development, but their carbon emissions are also huge. In order to achieve the dual-carbon target as early as possible, it is necessary to reduce the carbon emissions of high-energy consumption and high-emission industries. This paper selected five representative factors (population, per capita gross domestic product (GDP), energy intensity, energy structure and carbon emission coefficient) and adopted the logarithmic mean divisia index (LMDI) method to decompose the driving factors of carbon emissions. Therefore, this paper uses Tapio decoupling model to analyze the decoupling relationship between the two factors with the greatest impact on carbon emissions and carbon emissions. The results show that: (i) There is a good decoupling between high-energy consumption and high-emission industries and per capita GDP, and the impact of per capita GDP on carbon emissions will gradually decrease in the future; (ii) The decoupling relationship between carbon emissions and energy intensity is poor. For some industries, the reduction of energy intensity can help reduce carbon emissions. Finally, this paper puts forward some suggestions to promote carbon emission reduction. This paper provides theoretical support for studying how to reduce carbon emissions and formulate relevant emission reduction policies in the high-energy consumption and high-emission industries.

Suggested Citation

  • Xiaopeng Guo & Rong Shi & Dongfang Ren, 2024. "Reduce carbon emissions efficiently: The influencing factors and decoupling relationships of carbon emission from high-energy consumption and high-emission industries in China," Energy & Environment, , vol. 35(3), pages 1416-1433, May.
    • Handle: RePEc:sae:engenv:v:35:y:2024:i:3:p:1416-1433
    DOI: 10.1177/0958305X221140567
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    1. Min Su & Shasha Wang & Rongrong Li & Ningning Guo, 2020. "Decomposition analysis of the decoupling process between economic growth and carbon emission in Beijing city, China: A sectoral perspective," Energy & Environment, , vol. 31(6), pages 961-982, September.
    2. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Consumption-based and territory-based carbon emissions intensity: Determinants and forecasting using club convergence across countries," Energy Economics, Elsevier, vol. 86(C).
    3. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    4. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.
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