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Carbon Emissions and Socioeconomic Drivers of Climate Change: Empirical Evidence from the Logarithmic Mean Divisia Index (LMDI) Base Model for China

Author

Listed:
  • Fu Hua

    (School of Economics, Southwestern University of Finance and Economics, 555 Liutai Avenue, Wenjiang District, Chengdu 611130, China)

  • Majed Alharthi

    (Department of Finance, College of Business, King Abdulaziz University, P.O. Box 344, Rabigh 21911, Saudi Arabia)

  • Weihua Yin

    (Business School, Shanghai Jianqiao University, Shanghai 201306, China)

  • Muhammad Saeed

    (Office of Research Innovation and Commercialization, University of Management and Technology, C-II Block C 2 Phase 1 Johar Town, Punjab, Lahore 54770, Pakistan)

  • Ishtiaq Ahmad

    (Department of Economics, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan)

  • Syed Ahtsham Ali

    (Business School, Shanghai Jianqiao University, Shanghai 201306, China)

Abstract

The main objective of the present study was to examine the impact of socioeconomic factors on environmental degradation or preservation using the logarithmic mean disivia index (LMDI). The study used the latest data from thirty Chinese provinces from 2012 to 2020. Pooled mean group (PMG) results were estimated to determine the long-term and short-term impact of the aforementioned compound variables on carbon emissions. The study results revealed that population growth, per capita GDP growth, and fossil fuel-led energy consumption, positively impacted environmental degradation in China at the provincial level. However, clean energy intensity and a transition towards renewable energy in China are helping to reduce carbon emissions. Similarly, clean energy intensity is also helping to lower carbon emissions. The study proposed that at the provincial level, joint efforts were required to control environmental degradation in China. The positive impact of renewable energy intensity on carbon emissions encourages the transition from fossil fuels to clean energy sources for environmentally friendly growth.

Suggested Citation

  • Fu Hua & Majed Alharthi & Weihua Yin & Muhammad Saeed & Ishtiaq Ahmad & Syed Ahtsham Ali, 2022. "Carbon Emissions and Socioeconomic Drivers of Climate Change: Empirical Evidence from the Logarithmic Mean Divisia Index (LMDI) Base Model for China," Sustainability, MDPI, vol. 14(4), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2214-:d:750125
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    References listed on IDEAS

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    Cited by:

    1. Ping Cao & Xiaoxiao Li & Yu Cheng & Han Shen, 2022. "Temporal-Spatial Evolution and Driving Factors of Global Carbon Emission Efficiency," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    2. Caixia Liu & Rui Xu & Kaiji Xu & Yiwen Lin & Yingui Cao, 2023. "Carbon Emission Effects of Land Use in Chaobai River Region of Beijing–Tianjin–Hebei, China," Land, MDPI, vol. 12(6), pages 1-23, June.

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