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Creating a decarbonized economy: Decoupling effects and driving factors of CO2 emission of 28 industries in China

Author

Listed:
  • Gangfei Luo
  • Tomas Baležentis
  • Shouzhen Zeng
  • JiaShun Pan

Abstract

Identifying the carbon emission characteristics, driving factors, and decoupling status of the industrial subsectors is important for developing effective policy measures. This allows for implementing industrial emission reduction that, eventually, decouple carbon emission and economic growth. Such an analysis is especially important for the case of China on its way towards sustainable development and increasing global interrelationships. However, the literature still lacks comprehensive analysis, especially, at the industry level. This study uses the Logarithmic Mean Divisia Index and decoupling indicator to analyze how different factors contribute to CO 2 emissions in 28 industries in China during 2002–2017. The results reveal that the growth of industrial CO 2 emissions has been positive but decreasing. The highest CO 2 emission change is observed for production and supply of electric and heat power, processing of petroleum, coking, and nuclear fuel, and smelting and pressing of metals. These sectors also show high carbon intensity levels. The economic output (scale) effect and population effect comprise the two major factors promoting the CO 2 emission. The energy intensity effect is the key inhibiting factor of the industrial energy-related CO 2 emission in China. The suppressive effects of energy and industrial structure have been continuously increasing. The economic growth and CO 2 emission has been gradually decoupling in the case of the 28 sectors analyzed. Manufacture of cloths, leather, fur, feather, and related products as well as production and supply of gas exhibit a relatively stable strong decoupling. Based on the decoupling analysis, this study shows that energy intensity has induced the decoupling, whereas the opposite effect has occurred due to economic growth, and the other factors showed little effect on CO 2 emission decoupling.

Suggested Citation

  • Gangfei Luo & Tomas Baležentis & Shouzhen Zeng & JiaShun Pan, 2023. "Creating a decarbonized economy: Decoupling effects and driving factors of CO2 emission of 28 industries in China," Energy & Environment, , vol. 34(7), pages 2413-2431, November.
  • Handle: RePEc:sae:engenv:v:34:y:2023:i:7:p:2413-2431
    DOI: 10.1177/0958305X221109603
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    References listed on IDEAS

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    1. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    2. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    3. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    4. Loo, Becky P.Y. & Banister, David, 2016. "Decoupling transport from economic growth: Extending the debate to include environmental and social externalities," Journal of Transport Geography, Elsevier, vol. 57(C), pages 134-144.
    5. Chuanhe Xiong & Shuang Chen & Liting Xu, 2020. "Driving factors analysis of agricultural carbon emissions based on extended STIRPAT model of Jiangsu Province, China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1401-1416, September.
    6. Jindao Chen & Yuhong Wang & Qian Shi & Xu Peng & Juhuan Zheng, 2021. "An international comparison analysis of CO2 emissions in the construction industry," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 754-767, July.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. AkbostancI, Elif & Tunç, Gül Ipek & Türüt-AsIk, Serap, 2011. "CO2 emissions of Turkish manufacturing industry: A decomposition analysis," Applied Energy, Elsevier, vol. 88(6), pages 2273-2278, June.
    9. Sheinbaum, Claudia & Ozawa, Leticia & Castillo, Daniel, 2010. "Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry," Energy Economics, Elsevier, vol. 32(6), pages 1337-1344, November.
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