Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)

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Determinants of Enterprise Support Intensity and Key Enterprise Classification: An Empirical Study of Zhaoqing’s ‘Thousands Enterprises Aiding Thousands Towns

Authors
Jyh-Harng Shyng1, *
1Department of Landscape Architecture, School of Life Sciences, Zhaoqing University, Zhaoqing, 526061, Guangdong, China
*Corresponding author. Email: hidosing@outlook.com
Corresponding Author
Jyh-Harng Shyng
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-980-3_16How to use a DOI?
Keywords
Resource-Based View; Institutional Economics; Spearman Correlation Analysis; One-Way ANOVA; Hierarchical Clustering
Abstract

To explore the influencing factors of enterprise support intensity and the impact of key enterprises under the “Thousands of Enterprises Aiding Thousands of Towns” policy, this study examined 170 participating enterprises across 104 towns in Zhaoqing using multiple quantitative methods. Results showed: (1) Enterprise support intensity exhibited high-level aggregation (all dimension means >4.3 on a 5-point scale) with potential outliers; (2) Enterprise resource input (diversified structure, sustainability, etc.) was strongly positively correlated with support intensity (r=0.665–0.966, p<0.001); (3) Enterprises with 3–4 years of support outperformed those with <2 years in technology introduction and industrial participation (p < 0.05); (4) Hierarchical clustering identified two enterprise types: “comprehensive support enterprises” (avg. score 4.62) with better industrial driving effects and “specialized support enterprises” (avg. score 4.28). This study enriches rural revitalization theory and provides a quantitative basis for policy optimization and enterprise support strategy formulation.

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 the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
Series
Advances in Computer Science Research
Publication Date
26 December 2025
ISBN
978-94-6463-980-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-980-3_16How 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  - Jyh-Harng Shyng
PY  - 2025
DA  - 2025/12/26
TI  - Determinants of Enterprise Support Intensity and Key Enterprise Classification: An Empirical Study of Zhaoqing’s ‘Thousands Enterprises Aiding Thousands Towns
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 153
EP  - 168
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_16
DO  - 10.2991/978-94-6463-980-3_16
ID  - Shyng2025
ER  -