IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p637-d1019828.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/637/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/637/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Claudio Calero & Lindsay W Turner, 2020. "Regional economic development and tourism: A literature review to highlight future directions for regional tourism research," Tourism Economics, , vol. 26(1), pages 3-26, February.
    2. Qiu, Bingwen & Li, Haiwen & Tang, Zhenghong & Chen, Chongcheng & Berry, Joe, 2020. "How cropland losses shaped by unbalanced urbanization process?," Land Use Policy, Elsevier, vol. 96(C).
    3. Guanchun Liu & Yuanyuan Liu & Chengsi Zhang, 2018. "Factor allocation, economic growth and unbalanced regional development in China," The World Economy, Wiley Blackwell, vol. 41(9), pages 2439-2463, September.
    4. Shu, Cheng & Xie, Hualin & Jiang, Jinfa & Chen, Qianru, 2018. "Is Urban Land Development Driven by Economic Development or Fiscal Revenue Stimuli in China?," Land Use Policy, Elsevier, vol. 77(C), pages 107-115.
    5. Li, Zhaoling & Dai, Hancheng & Sun, Lu & Xie, Yang & Liu, Zhu & Wang, Peng & Yabar, Helmut, 2018. "Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China," Energy Policy, Elsevier, vol. 113(C), pages 9-19.
    6. Sebastian Aparicio & David Urbano & Diego Gomez, 2018. "Entrepreneurship and regional economic growth in Antioquia: An empirical analysis," Economics and Business Letters, Oviedo University Press, vol. 7(2), pages 84-92.
    7. Qiang, Qiu & Jian, Chen, 2020. "Natural resource endowment, institutional quality and China's regional economic growth," Resources Policy, Elsevier, vol. 66(C).
    8. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency？ A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    9. Robert Sobyra & Thomas Sigler & Elin Charles-Edwards, 2022. "Unbalanced growth in the labourscape: explaining regional employment divergence," Regional Studies, Taylor & Francis Journals, vol. 56(7), pages 1059-1070, July.
    10. Zhou, Xiaoxiao & Cai, Ziming & Tan, Kim Hua & Zhang, Linling & Du, Juntao & Song, Malin, 2021. "Technological innovation and structural change for economic development in China as an emerging market," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    11. Liu, Guanchun & Zhang, Chengsi, 2020. "Does financial structure matter for economic growth in China," China Economic Review, Elsevier, vol. 61(C).
    12. Shujie Yao & Fan Zhang & Feng Wang & Jinghua Ou, 2019. "Regional economic growth and the role of high-speed rail in China," Applied Economics, Taylor & Francis Journals, vol. 51(32), pages 3465-3479, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tianshu Li & Zhigang Chen, 2022. "The impact of transportation development on land price differences between cities: Widening or narrowing?—A case study based on the provincial level of Mainland China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 910-932, June.
    2. Kun Ge & Shan Zou & Xinhai Lu & Shangan Ke & Danling Chen & Zhangsheng Liu, 2022. "Dynamic Evolution and the Mechanism behind the Coupling Coordination Relationship between Industrial Integration and Urban Land-Use Efficiency: A Case Study of the Yangtze River Economic Zone in China," Land, MDPI, vol. 11(2), pages 1-22, February.
    3. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    4. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    5. Shuyang Chen, 2021. "The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    6. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    7. Huang, Haiping & Huang, Baolian & Sun, Aijun, 2023. "How do mineral resources influence eco-sustainability in China? Dynamic role of renewable energy and green finance," Resources Policy, Elsevier, vol. 85(PA).
    8. Nuri Rosmika & Raja Masbar & Sofyan Syahnur & Suriani Suriani, 2022. "The Impact of the Information and Communication Technology and Electricity on Inter-island Interactions in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 568-574, July.
    9. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    10. Yue Wu & Yue Yang & Weishun Xu & Qiuxiao Chen, 2020. "The Influence of Innovation Resources in Higher Education Institutions on the Development of Sci-Tech Parks’ Enterprises in the Urban Innovative Districts at the Stage of Urbanization Transformation," Land, MDPI, vol. 9(10), pages 1-36, October.
    11. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    12. Boglioni, Michele & Zambelli, Stefano, 2018. "Specialization patterns and reduction of CO2 emissions. An empirical investigation of environmental preservation and economic efficiency," Energy Economics, Elsevier, vol. 75(C), pages 134-149.
    13. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    14. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    15. Janet J. McIntyre-Mills & Mphatheleni Makaulule & Patricia Lethole & E. Pitsoane & Akwasi Arko-Achemfuor & Rudolf Wirawan & Ida Widianingsih, 2023. "Ecocentric Living: A Way Forward Towards Zero Carbon: A Conversation about Indigenous Law and Leadership Based on Custodianship and Praxis," Systemic Practice and Action Research, Springer, vol. 36(2), pages 275-319, April.
    16. Wang, Zhongbao & Razzaq, Asif, 2022. "Natural resources, energy efficiency transition and sustainable development: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 79(C).
    17. Feng, Wei & Sun, Shujun & Yuan, Hang, 2023. "Research on the efficiency of factor allocation in the pilot free trade zones," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 727-745.
    18. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    19. Lu, Shenghua & Wang, Hui, 2023. "How revolving-door recruitment makes firms stand out in land market: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
    20. Boyang Zhou & Nan Wang & Zhen Zhang & Wenxin Liu & Weinan Lu & Ruifan Xu & Linfei Li, 2022. "Research on the Spatial-Temporal Differentiation and Path Analysis of China’s Provincial Regions’ High-Quality Economic Development," Sustainability, MDPI, vol. 14(10), pages 1-26, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:637-:d:1019828. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.