2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)

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An Empirical Study on the Influencing Factors of Big Data Industry in Guizhou

Authors
Yuting Fu1, *
1Dalian Polytechnic University, Dalian, China
*Corresponding author. Email: 974431118@qq.com
Corresponding Author
Yuting Fu
Available Online 25 July 2023.
DOI
10.2991/978-94-6463-210-1_27How to use a DOI?
Keywords
big data industry; influencing factors; empirical analysis
Abstract

The Party and the State attach great importance to the development of the big data industry, and from 2014 onwards, the development of big data was incorporated into the work deployment at the national level. Subsequently, programmatic documents for the promotion and development of big data industry as well as relevant industrial development plans have been formulated and released in the name of the State Council and national ministries, elevating big data to a national industrial development strategy. This paper aims to study the influencing factors of the development of big data industry in Guizhou Province, and to identify the factors that really affect the development of big data industry in Guizhou Province by building a model and testing the heteroskedasticity and autocorrelation of the influencing factors. The data query for the influencing factors was obtained from the public data provided by the National Bureau of Statistics. By testing the validity of the model, the factors influencing the development of the big data industry in Guizhou province are analysed and suggestions for the future development of the big data industry in Guizhou province are given based on the influencing factors.

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
2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
Series
Atlantis Highlights in Engineering
Publication Date
25 July 2023
ISBN
978-94-6463-210-1
ISSN
2589-4943
DOI
10.2991/978-94-6463-210-1_27How 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

risenwbib
TY  - CONF
AU  - Yuting Fu
PY  - 2023
DA  - 2023/07/25
TI  - An Empirical Study on the Influencing Factors of Big Data Industry in Guizhou
BT  - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
PB  - Atlantis Press
SP  - 212
EP  - 219
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-210-1_27
DO  - 10.2991/978-94-6463-210-1_27
ID  - Fu2023
ER  -