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Carbon Emission Efficiency and Low-Carbon Optimization in Shanxi Province under “Dual Carbon” Background

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  • Xiaojia Guo

    (College of Geography Science, Shanxi Normal University, Taiyuan 030031, China)

  • Xin Wang

    (College of Geography Science, Shanxi Normal University, Taiyuan 030031, China)

  • Xueling Wu

    (College of Geography Science, Shanxi Normal University, Taiyuan 030031, China)

  • Xingpeng Chen

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Ya Li

    (College of Pastoral Agriculture Science, Lanzhou University, Lanzhou 730000, China)

Abstract

As an important energy base in China, Shanxi Province, in its economic development, has depended heavily on coal resources. However, enormous coal consumption produces a large amount of carbon dioxide and an aggravated ecological problem. In this paper, the super efficiency slack-based measure and data envelopment analysis (SBM-DEA) model and Malmquist index were used to calculate the energy consumption and carbon emission efficiency of 11 prefecture-level cities in Shanxi in the period from 2000 to 2020. The results were as follows: (1) The primary form of energy consumption in Shanxi Province is the burning of coal, and the carbon emission efficiencies of the 11 prefecture-level cities are quite different. The technical efficiency, technological progress, and total factor productivity of Taiyuan and Shuozhou were found to be greater than 1 compared to other cities in Shanxi. (2) On the whole, although the carbon emission rate of Shanxi Province has slowed down, it still faces the problems of a large total emission base, high carbon emission intensity, and low efficiency of the unit carbon emission output. Industrial structure is the key factor restricting improvements in the efficiency of carbon emissions in Shanxi Province. (3) From the spatial and temporal evolution of the carbon emission efficiency in Shanxi Province, we can see that the carbon emission efficiency of the whole province gradually dispersed and improved from the central and northern regions to the southern regions during the period of 2000–2020. In order to achieve a low-carbon economy, Shanxi Province must optimize its industrial structure, accelerate research and development in low-carbon technologies, adjust the energy structure, and promote the construction of an energy supply system with clean low-carbon energy as the main source.

Suggested Citation

  • Xiaojia Guo & Xin Wang & Xueling Wu & Xingpeng Chen & Ya Li, 2022. "Carbon Emission Efficiency and Low-Carbon Optimization in Shanxi Province under “Dual Carbon” Background," Energies, MDPI, vol. 15(7), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2369-:d:778520
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    as
    1. Sharif, Arshian & Iqbal Godil, Danish & Xu, Bingjie & Sinha, Avik & Abdul Rehman Khan, Syed & Jermsittiparsert, Kittisak, 2020. "Revisiting the Role of Tourism and Globalization in Environmental Degradation in China: Fresh Insights from the Quantile ARDL Approach," MPRA Paper 101156, University Library of Munich, Germany, revised 2020.
    2. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    3. Chong, Cheng Tung & Fan, Yee Van & Lee, Chew Tin & Klemeš, Jiří Jaromír, 2022. "Post COVID-19 ENERGY sustainability and carbon emissions neutrality," Energy, Elsevier, vol. 241(C).
    4. Francesco Fuso Nerini & Benjamin Sovacool & Nick Hughes & Laura Cozzi & Ellie Cosgrave & Mark Howells & Massimo Tavoni & Julia Tomei & Hisham Zerriffi & Ben Milligan, 2019. "Connecting climate action with other Sustainable Development Goals," Nature Sustainability, Nature, vol. 2(8), pages 674-680, August.
    5. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    6. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Biomass energy consumption, economic growth and carbon emissions: Fresh evidence from West Africa using a simultaneous equation model," Energy, Elsevier, vol. 119(C), pages 453-471.
    8. Yu, Jinglei & Shao, Chaofeng & Xue, Chenyang & Hu, Huaqing, 2020. "China's aircraft-related CO2 emissions: Decomposition analysis, decoupling status, and future trends," Energy Policy, Elsevier, vol. 138(C).
    9. Ahmed Sabab Sharek & Kalim U. Shah, 2021. "Tracking the quality of scientific knowledge inputs in reports generated by the Intergovernmental Panel on Climate Change (IPCC)," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(4), pages 586-594, December.
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