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The Optimization of Industrial Structure Under the ‘Dual Carbon’ Goal via Multi-Objective Programming Model: Evidence from Guangdong Province, China

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  • Jing Cheng

    (College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
    State Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen University, Shenzhen 518060, China)

  • Changhong Cai

    (College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
    State Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen University, Shenzhen 518060, China)

Abstract

With the increasing frequency of extreme weather events, global concerns regarding climate change have intensified, with carbon dioxide widely recognized as the primary driver of global warming and climate disruption. It is necessary to investigate how to develop industries to meet the constant GDP growth and minimum carbon emissions. This study investigates the optimization of industrial structure under China’s ‘Dual Carbon’ Goal in Guangdong Province from 2012 to 2017, employing a multi-objective programming model. Using the input–output table, carbon emissions across 42 industries are calculated based on the Intergovernmental Panel on Climate Change (IPCC) carbon emission factor method. According to Hirschman’s theory of industrial interdependence, the economic and carbon emission linkage coefficients between these industries are obtained by calculating the Ghosh inverse matrix and the Leontief inverse matrix to analyze the economic forward and backward linkage of the industries, as well as the carbon emission forward and backward linkage. The impact of industry input and output on the urban economy and the resulting carbon emission problems are discussed, and industries are divided into encouraged and restricted industries. Using a multi-objective programming model, the expected final demand, changes in final demand, and expected carbon emissions of these industries under the ‘Dual Carbon’ Goal, with the target of maintaining the same economic growth rate and promoting carbon reduction, are analyzed. The results show that most industries in Guangdong Province need to reduce final demand, including the highest carbon-emitting industries and industries that are relatively restricted by scale in development. The policy implications of optimizing the industrial structure to reduce carbon emissions are provided.

Suggested Citation

  • Jing Cheng & Changhong Cai, 2025. "The Optimization of Industrial Structure Under the ‘Dual Carbon’ Goal via Multi-Objective Programming Model: Evidence from Guangdong Province, China," Sustainability, MDPI, vol. 17(13), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5912-:d:1688599
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    1. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    2. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2005. "A tale of two market failures: Technology and environmental policy," Ecological Economics, Elsevier, vol. 54(2-3), pages 164-174, August.
    3. Chen, Ya & Pan, Yongbin & Wang, Mengyuan & Ding, Tao & Zhou, Zhixiang & Wang, Ke, 2023. "How do industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 67-80.
    4. Pinjie Xie & Yue Lu & Yuwen Xie, 2024. "The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    5. Jin, Gui & Guo, Baishu & Deng, Xiangzheng, 2020. "Is there a decoupling relationship between CO2 emission reduction and poverty alleviation in China?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    6. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    7. Pan, Xiongfeng & Wang, Mengyang & Li, Mengna, 2023. "Low-carbon policy and industrial structure upgrading: Based on the perspective of strategic interaction among local governments," Energy Policy, Elsevier, vol. 183(C).
    8. Mingqing Chen, 2022. "A study of low-carbon development, urban innovation and industrial structure upgrading in China [Developing a long-term local society design methodology towards a low-carbon economy. An application," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 4688-4703.
    9. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    10. Ye Liu & Yiyun Wu & Xiwei Zhu, 2024. "Industrial clusters and carbon emission reduction: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(2), pages 557-597, August.
    11. Guoliang Fan & Anni Zhu & Hongxia Xu, 2023. "Analysis of the Impact of Industrial Structure Upgrading and Energy Structure Optimization on Carbon Emission Reduction," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    12. Runde Gu & Chunfa Li & Dongdong Li & Yangyang Yang & Shan Gu, 2022. "The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
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