Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

<Previous Article In Volume
Next Article In Volume>

Research on the Influencing Factors of the Flow of Scientific and Technological Talents in Shaanxi — Based on Granger Causality Test and Gray Correlation Analysis

Authors
Ruijuan Yang1, Baohua Qi1, *
1Xi’an Shiyou University School of Economics and Management, Xi’an, China
*Corresponding author. Email: 1348435987@qq.com
Corresponding Author
Baohua Qi
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_65How to use a DOI?
Keywords
Economic and social development level; Science and technology talent flow; Granger causality test; Grey correlation analysis
Abstract

This paper selects the relevant data of Shaanxi Province from 2010 to 2020, and uses SPSS and Eviews measurement software to explore the main factors affecting the flow of scientific and technological talents by Granger causality test and gray correlation analysis. Gray correlation analysis shows that the proportion of the second and third industries in GDP is the fundamental economic factor affecting the flow of scientific and technological talents. The Granger causality test results show that the impact of the economic development level of the tertiary industry and regional GDP on the stock of scientific and technological talents has a three-year lag period, and the results of the two methods confirm each other in terms of economic factors. The level of R&D investment is a political factor affecting the flow of scientific and technological talents. The results of science and technology transformation are cultural factors and green environment is social 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_65
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_65How 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  - Ruijuan Yang
AU  - Baohua Qi
PY  - 2022
DA  - 2022/12/29
TI  - Research on the Influencing Factors of the Flow of Scientific and Technological Talents in Shaanxi — Based on Granger Causality Test and Gray Correlation Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 448
EP  - 455
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_65
DO  - 10.2991/978-94-6463-042-8_65
ID  - Yang2022
ER  -