Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

How to use big data and spatial econometric model to explain the high-quality development of western China?

Authors
Feiliang Niu1, Haifeng Yu1, *, Gulisun Aisa1
1Kashi University, Xinjiang, 844066, China
*Corresponding author. Email: 394948435@qq.com
Corresponding Author
Haifeng Yu
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_137How to use a DOI?
Keywords
high quality development; PVAR; spatial metering
Abstract

Based on the western region from 2013 to 2020 in 11 provinces (except in Tibet) panel data, build high quality development index evaluation system, information entropy to explore the western region development, by calculation and using spatial econometric model analyzes the upgrading of human capital, industrial structure optimization, they are between the coupling effect on the quality and economic development. The results showed that :(1) the high quality development index showed that the development of Chongqing, Sichuan and Shaanxi in the western region was better, followed by Guangxi, Yunnan and Guizhou, while the development of the remaining provinces and cities was lagging behind, showing a gradual decline from the east to the west. (2) The spatial correlation analysis of the spatial Moran index shows that there is a stable spatial dependence, mainly with "high-high" type and "low-low" type, and there is a spatial polarization trend. (3) The spatial econometric model reveals that without considering the cross-term, human capital upgrading has no significant effect on high-quality economic development, while industrial structure optimization has a significant effect on high-quality economic development. PVAR model is used to find that human capital and industrial structure have a joint effect on economic development. The SPDM model including cross term is established and it is found that the cross effect of the two has a very significant promoting effect on the high-quality economic development.

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 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_137How 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  - Feiliang Niu
AU  - Haifeng Yu
AU  - Gulisun Aisa
PY  - 2022
DA  - 2022/12/29
TI  - How to use big data and spatial econometric model to explain the high-quality development of western China?
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1331
EP  - 1338
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_137
DO  - 10.2991/978-94-6463-102-9_137
ID  - Niu2022
ER  -