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Research on the Supporting Role of Big Data Finance in the Construction of Guizhou Digital Village

In: Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

Author

Listed:
  • Rui Li

    (Guizhou University of Finance and Economics (Guiyang School of big data Finance), School of big data application and economics)

  • Hongmei Zhang

    (Guizhou University of Finance and Economics (Guiyang School of big data Finance), School of big data application and economics
    Guizhou science and technology innovation and Venture Capital Research Institute)

Abstract

ABSTRACT To consolidate and expand the achievements of poverty alleviation in Guizhou Province, this paper focuses on Economic and Social Development Needs of Guizhou during the "14th Five Year Plan", and settles down in digital rural construction. Build Guizhou digital rural indicator system, obtain digital rural comprehensive index and big data financial comprehensive index through entropy method, and analyse the support of big data finance for Guizhou digital rural construction. The research found that big data finance supports Guizhou's digital rural construction, and the supporting effect is more significant in regions with relatively low-income levels of Guizhou residents. Therefore, on the way to the construction of Guizhou digital village, we should make rational use of the natural advantages of big data finance in Guizhou, rely on Guizhou big data platform to develop big data finance to promote the construction of digital village, and stimulate the potential of big data finance in the construction of digital village.

Suggested Citation

  • Rui Li & Hongmei Zhang, 2023. "Research on the Supporting Role of Big Data Finance in the Construction of Guizhou Digital Village," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li (ed.), Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), pages 177-183, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-194-4_25
    DOI: 10.2991/978-94-6463-194-4_25
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