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