Optimization of regional economic resources combined with artificial intelligence technology and multi-factor analysis in belt and road environment
Optimizing regional economic resources is a crucial aspect of the Belt and Road initiative. This paper develops a multi-objective optimization model to objectively evaluate the development level of regional economic resource optimization in Belt and Road countries and to identify the key influencing factors. The model maximizes regional economic and social benefits under constraints of resource availability, output capacity, and coordinated regional development, and it incorporates a synergy measure to ensure robust progress. Our findings show that the regional economic benefits index increased from 0.264 in 2017 to 0.575 in 2023 (a growth rate of 117.8%), while social benefits grew by 14.29%. Additionally, panel regression analysis reveals that merchandise trade, foreign direct investment, road traffic mortality, and industrial development all have significant negative impacts on the optimization of economic resources, at the 1% significance level.
Authors
- Fang Wang (ORCID: https://orcid.org/0000-0001-9986-0948)
- Kai Shang (ORCID: https://orcid.org/0009-0001-2489-5094)
Publication Details
- Journal
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Published
- 2025-04-23
- DOI
- https://doi.org/10.61091/jcmcc127-01
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00