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Peaking Carbon Emissions in a Megacity through Economic Restructuring: A Case Study of Shenzhen, China

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  • Yang Yang

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Humanities & Social Sciences Key Research Base for Carbon Emission Peaking and Carbon Neutral Technology, Policy, and Management, Harbin Institute of Technology, Shenzhen 518055, China)

  • Fan He

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Humanities & Social Sciences Key Research Base for Carbon Emission Peaking and Carbon Neutral Technology, Policy, and Management, Harbin Institute of Technology, Shenzhen 518055, China)

  • Junping Ji

    (School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
    Shenzhen Humanities & Social Sciences Key Research Base for Carbon Emission Peaking and Carbon Neutral Technology, Policy, and Management, Harbin Institute of Technology, Shenzhen 518055, China)

  • Xin Liu

    (School of Environment and Energy, Peking University Shenzhen Graduate School, University Town, Shenzhen 518055, China)

Abstract

With the growing cost of carbon emissions reduction, the application of industrial restructuring to suppress carbon emissions is becoming more attractive. By constructing an input-output optimization model, this study explored how industrial restructuring helps megacities synergistically achieve carbon peak and high-quality development. The results showed that through contributing 164.4% of the reduction in emissions from 2020 to 2025, industrial structure optimization significantly inhibited the growth of carbon emissions; From 2020 to 2025, the manufacturing structure continued to be high-end, which resulted in a reduction in industrial carbon emissions by 10.3%; through vigorous development of the low-carbon service industry, the carbon emission of the service industry would continue to slow down at an average annual rate of 2.4%. Industrial premiumization and the low-carbonization of the modern service sector are the key driving forces for Shenzhen to achieve low-carbon transformation. The results also showed that the power and retail sectors are the most important for emissions reduction. This study can provide a roadmap for megacities on how to explore potential emission reduction via optimizing their economic structure to help them achieve their carbon emissions peak.

Suggested Citation

  • Yang Yang & Fan He & Junping Ji & Xin Liu, 2022. "Peaking Carbon Emissions in a Megacity through Economic Restructuring: A Case Study of Shenzhen, China," Energies, MDPI, vol. 15(19), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6932-:d:921685
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    1. Yu, Shiwei & Zheng, Shuhong & Li, Xia & Li, Longxi, 2018. "China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring," Energy Economics, Elsevier, vol. 73(C), pages 91-107.
    2. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1545-1564, September.
    3. Hu, Guangxiao & Ma, Xiaoming & Ji, Junping, 2019. "Scenarios and policies for sustainable urban energy development based on LEAP model – A case study of a postindustrial city: Shenzhen China," Applied Energy, Elsevier, vol. 238(C), pages 876-886.
    4. Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 115-134.
    5. Heran Zheng & Jing Meng & Zhifu Mi & Malin Song & Yuli Shan & Jiamin Ou & Dabo Guan, 2019. "Linking city‐level input–output table to urban energy footprint: Construction framework and application," Journal of Industrial Ecology, Yale University, vol. 23(4), pages 781-795, August.
    6. Yu, Shiwei & Zheng, Shuhong & Zhang, Xuejiao & Gong, Chengzhu & Cheng, Jinhua, 2018. "Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach," Energy Policy, Elsevier, vol. 122(C), pages 300-312.
    7. David Cass, 1965. "Optimum Growth in an Aggregative Model of Capital Accumulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 32(3), pages 233-240.
    8. Leroy P. Jones, 1976. "The Measurement of Hirschmanian Linkages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(2), pages 323-333.
    9. Liu, Yazhou & Bian, Jiacong & Li, Xiangmei & Liu, Shuyi & Lageson, David & Yin, Yingkai, 2020. "The optimization of regional industrial structure under the water-energy constraint: A case study on Hebei Province in China," Energy Policy, Elsevier, vol. 143(C).
    10. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
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    Cited by:

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    3. Yuan Zeng & Wengang Zhang & Jingwen Sun & Li’ao Sun & Jun Wu, 2023. "Research on Regional Carbon Emission Reduction in the Beijing–Tianjin–Hebei Urban Agglomeration Based on System Dynamics: Key Factors and Policy Analysis," Energies, MDPI, vol. 16(18), pages 1-20, September.
    4. Caifen Xu & Yu Zhang & Yangmeina Yang & Huiying Gao, 2023. "Carbon Peak Scenario Simulation of Manufacturing Carbon Emissions in Northeast China: Perspective of Structure Optimization," Energies, MDPI, vol. 16(13), pages 1-31, July.
    5. Jinxing Hu & Cuiying Shao & Zhaolong Zhang, 2022. "The Impact of Sustainable Regional Development Policy on Carbon Emissions: Evidence from Yangtze River Delta of China," Energies, MDPI, vol. 15(24), pages 1-25, December.

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