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Carbon intensity and emission reduction potential in China: spatial measuring method

Author

Listed:
  • Liu Chen

    (Chengdu University of Technology)

  • Xin Li

    (Chengdu University of Technology)

  • Sheng Xue

    (Chengdu University of Technology)

  • Lingfei Qu

    (Sichuan Institute of Geological Engineering Investigation)

  • Minxi Wang

    (Chengdu University of Technology)

Abstract

This paper analyzes the spatial and temporal distribution of CO2 emissions intensity and energy intensity in China by using spatial measuring method from 2000 to 2013 and estimates the potential for CO2 emissions reduction. The results obtained in this study include: (1) Both CO2 emissions intensity and energy intensity are declining; (2) the spatial distribution of carbon emission intensity and energy intensity in China shows the characteristics of lower from north to south; (3) China’s total growth of energy consumption and carbon emissions is clearly slowing, which will peak before 2030; the carbon emission reduction potential in China is great with 167,316.91 million tons, and Shanxi, Inner Mongolia and Hebei have the greatest potential to reduce CO2 emissions with 29,885.8 Mt, 32,704.49 Mt and 34,222.1 Mt, respectively; (4) the differences of CO2 emissions intensity and energy intensity among provinces are distinctive. This study can provide a reference for the sustainable development of China’s energy and environment.

Suggested Citation

  • Liu Chen & Xin Li & Sheng Xue & Lingfei Qu & Minxi Wang, 2019. "Carbon intensity and emission reduction potential in China: spatial measuring method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-12, December.
    • Handle: RePEc:spr:jecstr:v:8:y:2019:i:1:d:10.1186_s40008-019-0142-6
    DOI: 10.1186/s40008-019-0142-6
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    References listed on IDEAS

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    Cited by:

    1. Li, Xiaoyan, 2020. "Design of energy-conservation and emission-reduction plans of China’s industry: Evidence from three typical industries," Energy, Elsevier, vol. 209(C).
    2. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    3. Hengzhou Xu & Xiaoyan Li, 2023. "Effect mechanism of Chinese-style decentralization on regional carbon emissions and policy improvement: evidence from China’s 12 urban agglomerations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 474-505, January.

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