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.

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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
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article

Optimization of regional economic resources combined with artificial intelligence technology and multi-factor analysis in belt and road environment

Fang Wang, Kai Shang
Journal of Combinatorial Mathematics and Combinatorial Computing
E-commerce and Technology Innovations
article

Optimization of regional economic resources combined with artificial intelligence technology and multi-factor analysis in belt and road environment

Fang Wang, Kai Shang
article en

Abstract

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.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127
Openalex Percentile: Top 86%
E-commerce and Technology Innovations
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