Research on the Supporting Role of Big Data Finance in the Construction of Guizhou Digital Village
Rui Li () and
Hongmei Zhang
Additional contact information
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
A chapter in Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), 2023, pp 177-183 from Springer
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.
Keywords: Big data financial; Digital village; Regional difference; Entropy method (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-194-4_25
Ordering information: This item can be ordered from
http://www.springer.com/9789464631944
DOI: 10.2991/978-94-6463-194-4_25
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().