How Does Digital Transformation Affect Cross-Regional Collaborative Innovation: Evidence from A-Share Listed Firms
This study utilizes digital transformation and patent data from A-share listed companies on the Shanghai and Shenzhen stock exchanges in China between 2011 and 2021 to examine the influence of digital transformation on the quality of cross-regional collaborative innovation. The findings reveal that the cooperative innovation network exhibits pronounced small-world characteristics. In terms of spatio-temporal evolution, China’s urban collaborative innovation network demonstrates a notable quadrilateral spatial structure and has evolved toward a multicenter pattern. Moreover, the advancement of digital transformation positively contributes to both the quality and quantity of cross-regional cooperative innovation. By enhancing the relational embeddedness among cities, digital transformation facilitates improved outcomes in collaborative innovation. Furthermore, when the volume of digital patent applications surpasses a certain threshold, its positive effect on the quality of cross-regional collaborative innovation accelerates. These results provide empirical evidence from a major emerging economy, offering insights that can inform policies and strategies in other regions undergoing digital transition. The mechanisms identified, such as network structure evolution and relational embeddedness, contribute to a broader understanding of how digital transformation shapes innovation dynamics across geographical boundaries in a globalized knowledge economy.
Institutions
- Macau University of Science and Technology (MO)
- Zhaoqing University (CN)
- Chinese Academy of Sciences (CN)
- Jingdezhen University (CN)
- Institute of Geographic Sciences and Natural Resources Research (CN)
- Zhuhai Institute of Advanced Technology (CN)
Publication Details
- Journal
- Systems
- Published
- 2026-03-24
- DOI
- https://doi.org/10.3390/systems14040337
- Primary Topic
- Innovation and Knowledge Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00