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

<Previous Article In Volume
Next Article In Volume>

Research on the Impact of Innovative Industrial Clusters on Manufacturing Enterprise Innovation

Authors
Nanjin Zhang1, Shiwei Wu2, *
1School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
2Associate Professor, School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
*Corresponding author. Email: wushiwei08@126.com
Corresponding Author
Shiwei Wu
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-980-3_23How to use a DOI?
Keywords
Policy on Innovative Industrial Clusters; Multi-period difference-in-differences (DID) model; Manufacturing; Corporate innovation
Abstract

Chinese manufacturing enterprises are currently facing challenges such as insufficient demand and even overcapacity, making it imperative to take measures to enhance their innovation capabilities. The innovative industrial cluster policy can promote the agglomeration of enterprises in pilot areas, thereby enabling interrelated industries to collaborate and engage in synergistic innovation. Drawing on theories from regional economics, urban economics, and new economic geography, as well as Schumpeterian innovation hypotheses, this study selects data from 1,818 manufacturing listed enterprises from 2009 to 2023 to construct a multi-period difference-in-differences (DID) model. This model is used to empirically examine the impact of the innovative industrial cluster policy on the innovation of manufacturing enterprises. The research finds that the innovative industrial cluster policy can promote innovation in manufacturing enterprises. Mechanism analysis indicates that this policy enhances manufacturing enterprise innovation by increasing the agglomeration level of skilled personnel and fostering industry-university-research collaboration. Furthermore, the impact of this policy on manufacturing enterprise innovation strengthens with the enhancement of the enterprises’ technological absorption capacity.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
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_23How 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  - Nanjin Zhang
AU  - Shiwei Wu
PY  - 2025
DA  - 2025/12/26
TI  - Research on the Impact of Innovative Industrial Clusters on Manufacturing Enterprise Innovation
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 246
EP  - 259
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_23
DO  - 10.2991/978-94-6463-980-3_23
ID  - Zhang2025
ER  -