Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Multi-Objective Optimization Model of Industrial Structure under Dual-Carbon Background: a Case Study of S Province

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342690,
        author={Shanshan  Wu and Guoqiang  Ji and Lily  Zhang},
        title={Multi-Objective Optimization Model of Industrial Structure under Dual-Carbon Background: a Case Study of S Province},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={industrial structure; multi-objective optimization; low-carbon economy},
        doi={10.4108/eai.17-11-2023.2342690}
    }
    
  • Shanshan Wu
    Guoqiang Ji
    Lily Zhang
    Year: 2024
    Multi-Objective Optimization Model of Industrial Structure under Dual-Carbon Background: a Case Study of S Province
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342690
Shanshan Wu1,*, Guoqiang Ji1, Lily Zhang1
  • 1: State Grid Energy Research Institute Co.Ltd.
*Contact email: wushanshan@sgeri.sgcc.com.cn

Abstract

Under the dual-carbon background, in order to achieve high-quality development in each province, it is necessary to rationally optimize the industrial structure in conjunction with the demand for low-carbon emissions to achieve green and sustainable development. Firstly, taking S province as an example, the industrial structure of S province is subdivided into four major categories: agriculture, forestry, animal husbandry and fishery, industry, construction and service industry, in order to formulate policies and strategies in a more targeted way; secondly, based on the historical data, a multi-objective optimization model of industrial structure under the dual-carbon background is constructed, taking the scale of the economy, the intensity of carbon dioxide, and the total amount of energy consumption as the constraints; lastly, the empirical analysis validates the model's impact on the economy and the environment, so as to provide valuable reference basis for S province to realize low-carbon economic development under the dual-carbon background.