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

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

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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  -