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

Research on the Coordinated Development of Big Data, Financial Agglomeration and Regional Economy in Guizhou Province

Authors
Shan Wei1, 2, *, Hongmei Zhang1, 2
1Guizhou University of Finance and Economics (Guiyang College of Big Data Finance), College of Big Data Application and Economics, Guiyang, China
2Guizhou Science and Technology Innovation and Venture Capital Research Institute, Guiyang, China
*Corresponding author. Email: 1627146008@qq.com
Corresponding Author
Shan Wei
Available Online 21 July 2023.
DOI
10.2991/978-94-6463-194-4_20How to use a DOI?
Keywords
big data; financial agglomeration; coupling coordination
Abstract

After the concept of big data was put forward, and the first national-level big data comprehensive experimental zone in China was approved, Guizhou Province made great efforts to promote the development of big data and make preparations for the realization of "counting the east and calculating the west". The development of big data can't be separated from financial support, and a large amount of financial support in demand promotes the formation and development of regional financial agglomeration. To explore the relationship among big data development, financial agglomeration and regional economic development in Guizhou Province, this paper first measures the level of big data development, financial agglomeration and regional economic development in Guizhou from 2013 to 2020 by principal component analysis, and then measures the coupling degree and coupling coordination degree of big data development, financial agglomeration and regional economic development by coupling degree and coupling coordination model. The empirical results show that: on the whole, the coupling degree and coupling coordination degree of the three systems are rising, and the span is obvious; In terms of time, the coupling degree and coupling coordination degree of the three systems have an important turning point in 2014 and 2016, which indicates that the coordinated development of big data development, financial agglomeration and regional economic development level is more conducive to economic development and risk reduction.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
21 July 2023
ISBN
10.2991/978-94-6463-194-4_20
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_20How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Shan Wei
AU  - Hongmei Zhang
PY  - 2023
DA  - 2023/07/21
TI  - Research on the Coordinated Development of Big Data, Financial Agglomeration and Regional Economy in Guizhou Province
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 140
EP  - 146
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_20
DO  - 10.2991/978-94-6463-194-4_20
ID  - Wei2023
ER  -