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The Impact of Environmental Pollution on Residents’ Income Caused by the Imbalance of Regional Economic Development Based on Artificial Intelligence

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  • Binfeng Ma

    (School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China
    School of Economics and Management, Hexi University, Zhangye 734000, China)

Abstract

Regional economy is a human economic activity in a geographical region, a prominent and sustainable economy with distinctive regional characteristics. Regional economy is characterized by its integrity, relativity, relative independence, and spatial difference. With the increasing development of science and technology and big data, it has become a normal trend to use artificial intelligence technology to solve current social problems. In this paper, the social problems caused by the imbalance of regional economy are analyzed based on artificial intelligence. Through the application of KNN-SVM algorithm optimization, it is found that AI has relatively little impact on the development of the income level of the population under the age of 25 in each region. Compared with previous studies, the quality is compared with the innovation of this document, which is the development of a conceptual framework approach, an environmental pollution analysis mechanism, and income inequality analysis. The empirical research results show that under the strategic background of improving people’s livelihood, accelerating the reform of ecological civilization and promoting the construction of the health system, the relationship between environmental pollution and population income caused by unbalanced regional economic development can be re-analyzed through the best KNN-SVM algorithm. The implementation of the healthy China strategy has important theoretical and practical significance.

Suggested Citation

  • Binfeng Ma, 2022. "The Impact of Environmental Pollution on Residents’ Income Caused by the Imbalance of Regional Economic Development Based on Artificial Intelligence," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:637-:d:1019828
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    References listed on IDEAS

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