Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Spatial-Temporal Pattern of Scientific and Technological Talent Agglomeration and Its Influencing Factors in Chengdu-Chongqing City Cluster

Authors
Jinjing Zeng1, *, Xi Wu2
1School of Public Administration, Sichuan University, Wangjianglu #29, Chengdu City, 610065, Sichchuan Province, China
2Editorial Department of Journal of Sichuan University, Sichuan University, Wangjianglu #29, Chengdu City, 610065, Sichchuan Province, China
*Corresponding author. Email: universe42@163.com
Corresponding Author
Jinjing Zeng
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_29How to use a DOI?
Keywords
Chengdu-Chongqing City Cluster; Scientific and Technological Talent Agglomeration; Location Quotient; Cluster Analysis; Fixed-effect Regression Model
Abstract

The study of change and influencing factors in the Chengdu-Chongqing city cluster may contribute to science and technology innovation, as well as enrich existing population geography theories, expand the scope of application of multivariate statistical analysis by exploring factors that influence the agglomeration of science and technology talent. Statistical data from 2010 to 2019 was utilized in this study to apply location quotient theory, cluster analysis and fixed-effect regression model to research objectives. The results indicate that the Chengdu-Chongqing city cluster has a stable or increasing agglomeration of scientific and technological talent and is mainly divided into four categories; economic factors such as regional GDP, R&D expenditure investments in science, bed capacity per 10,000 people, teacher-student ratios in compulsory education, and road density have significant positive impacts on 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.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_29
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_29How 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  - Jinjing Zeng
AU  - Xi Wu
PY  - 2023
DA  - 2023/07/26
TI  - Spatial-Temporal Pattern of Scientific and Technological Talent Agglomeration and Its Influencing Factors in Chengdu-Chongqing City Cluster
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 269
EP  - 278
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_29
DO  - 10.2991/978-94-6463-200-2_29
ID  - Zeng2023
ER  -