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March 26, 2026Systems1 citationsOpen Access

How Does Digital Transformation Affect Cross-Regional Collaborative Innovation: Evidence from A-Share Listed Firms

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BWBinyu WeiXHXiaoyu HuYWYushan Wang

Key Points

  • The aim is to investigate how digital transformation influences cross-regional collaborative innovation quality in listed firms.
  • Analyzed patent data from A-share listed companies on Shanghai and Shenzhen stock exchanges (2011-2021)
  • Examined the characteristics of cooperative innovation networks
  • Studied spatio-temporal evolution and network structure of urban collaborative innovation
  • Found that cross-regional collaborative innovation exhibits small-world characteristics
  • Digital transformation positively impacts both quality and quantity of innovation
  • Identified a multicenter pattern in China's urban innovation networks
  • Noted that exceeding a threshold of digital patent applications enhances innovation quality further

Abstract

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.

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Cite This Study

Wei et al. (2026) studied this question.

synapsesocial.com/papers/69c4cd30fdc3bde448919286https://doi.org/10.3390/systems14040337
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