Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Empirical Analysis of the Impact of Regional Comprehensive Development Factors on Human Capital Accumulation

Authors
Bin Wang1, 2, Jin Wang2, *
1San Sebastian College-Recoletos, Manila, Philippines
2Anhui Business and Technology College, Wuhu, China
*Corresponding author. Email: 381534036@qq.com
Corresponding Author
Jin Wang
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_38How to use a DOI?
Keywords
Regional comprehensive development; Industrial innovation; Human capital accumulation; Principal component analysis; Panel data analysis
Abstract

This study explores the relationship between regional development factors and human capital using Principal Component Analysis (PCA), focusing on the impact of regional economic activities and industrial innovation characteristics on human capital quality and labor market dynamics. The results show that regional economic activities (PC_X1) have a significant positive effect on human capital quality (PC_Y1), while industrial innovation characteristics (PC_X2) negatively impact human capital quality. Further panel regression analysis indicates that regional economic activities enhance labor force quality by promoting the expansion of educational resources, skill training, and employment opportunities. In contrast, industrial innovation may increase the demand for high-skilled labor, leaving low-skilled labor underserved, thus leading to labor market segmentation. The analysis of individual effects emphasizes the impact of long-term regional fixed factors such as educational resource allocation, infrastructure development, and policy environment on human capital disparities. This study provides theoretical foundations and practical recommendations for regional policymakers in promoting balanced economic development and optimizing human capital allocation.

Copyright
© 2025 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 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_38How to use a DOI?
Copyright
© 2025 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  - Bin Wang
AU  - Jin Wang
PY  - 2025
DA  - 2025/02/28
TI  - Empirical Analysis of the Impact of Regional Comprehensive Development Factors on Human Capital Accumulation
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 395
EP  - 404
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_38
DO  - 10.2991/978-94-6463-656-7_38
ID  - Wang2025
ER  -