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CO 2 Emissions Forecast and Emissions Peak Analysis in Shanxi Province, China: An Application of the LEAP Model

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  • Xin Zou

    (Department of Economics and Management, North China Electric Power University, Baoding 071000, China)

  • Renfeng Wang

    (Department of Economics and Management, North China Electric Power University, Baoding 071000, China)

  • Guohui Hu

    (Department of Economics and Management, North China Electric Power University, Baoding 071000, China)

  • Zhuang Rong

    (Department of Economics and Management, North China Electric Power University, Baoding 071000, China)

  • Jiaxuan Li

    (Department of Economics and Management, North China Electric Power University, Baoding 071000, China)

Abstract

Shanxi Province, an important source of coal resources in China, has consumed a large amount of fossil fuels in the past few decades. The CO 2 emissions of Shanxi Province have been increasing annually, reaching 541.8 million tons in 2018, 54.6% higher than the national mean. This will have a negative impact on China’s ability to meet its target of peaking CO 2 emissions by 2030. To assist China to achieve this target and reduce CO 2 emissions in Shanxi Province, this study used the Long-range Energy Alternatives Planning (LEAP) model to analyze the CO 2 emissions and peaks in Shanxi Province from 2019 to 2035 under different scenarios. Furthermore, this study analyzed the time to peak CO 2 emissions under different emission reduction measures through a sensitivity analysis. The results show that in the absence of other mitigation policy interventions, CO 2 emissions in Shanxi Province will increase annually, reaching 1646.2 million tons by 2035. Furthermore, this study shows that if shares of industrial gross domestic product (GDP) in Shanxi, energy intensity reduction in the industrial and transport sectors compared to the base scenario, thermal power, and relative clean energy consumption reach 25%, 30%, 50%, and 50%, respectively, by 2035, then CO 2 emissions of Shanxi would peak at 801.2 million tons in 2029 and GDP per capita would increase to USD 2000 by 2035. Finally, according to the results of this study, we have made some recommendations for emission reduction in Shanxi Province. The limitation of this study was that the implementation cost of the abatement policy was not considered.

Suggested Citation

  • Xin Zou & Renfeng Wang & Guohui Hu & Zhuang Rong & Jiaxuan Li, 2022. "CO 2 Emissions Forecast and Emissions Peak Analysis in Shanxi Province, China: An Application of the LEAP Model," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:637-:d:719489
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    References listed on IDEAS

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    1. Abdul Rauf & Ilhan Ozturk & Fayyaz Ahmad & Khurram Shehzad & Abbas Ali Chandiao & Muhammad Irfan & Saira Abid & Li Jinkai, 2021. "Do Tourism Development, Energy Consumption and Transportation Demolish Sustainable Environments? Evidence from Chinese Provinces," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
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    Cited by:

    1. Junjie Wang & Yuan Li & Yi Zhang, 2022. "Research on Carbon Emissions of Road Traffic in Chengdu City Based on a LEAP Model," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    2. Dawei Feng & Wenchao Xu & Xinyu Gao & Yun Yang & Shirui Feng & Xiaohu Yang & Hailong Li, 2023. "Carbon Emission Prediction and the Reduction Pathway in Industrial Parks: A Scenario Analysis Based on the Integration of the LEAP Model with LMDI Decomposition," Energies, MDPI, vol. 16(21), pages 1-15, October.
    3. Salony Rajbhandari & Shubha Laxmi Shrestha & Ramchandra Bhandari & Ajay Kumar Jha & Hari Bahadur Darlami, 2024. "Contribution to the Net-Zero Emissions Target from the Transport Sector through Electric Mobility—A Case of Kathmandu Valley," Sustainability, MDPI, vol. 16(3), pages 1-23, January.

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