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RESEARCH ARTICLE

How Does Digital Technology Reshape the Boundaries of Intercity Innovation Collaboration? Evidence From China

Shufen Guo

Shufen Guo

School of Public Administration, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China

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Ludi Wen

Corresponding Author

Ludi Wen

School of Public Administration, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China

Correspondence: Ludi Wen ([email protected])

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Yanrui Wu

Yanrui Wu

Department of Economics, University of Western Australia, Perth, Western Australia, Australia

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Sandun C. Perera

Sandun C. Perera

College of Business, University of Nevada, Reno, NV, USA

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First published: 08 July 2025

ABSTRACT

Empirical studies have rarely explored the relationship between digital technology adoption and transregional innovation collaboration at the city level. To address this important research gap, we use the negative binomial regression model to identify the impact of digital technology adoption on intercity innovation collaboration, with particular emphasis on the reshaping effect of digital technology on geographical and city hierarchical boundaries. The panel data pertains to intercity co-patents spanning the period from 2012 to 2019 in China. Our findings show that digital technology adoption significantly enhances intercity innovation collaboration. The positive relationship becomes even stronger as the geographical distance between cities increases. Furthermore, digital technology adoption strengthens innovation collaboration not only among first-tier cities but also between first-tier cities with second- and third-tier cities. These results suggest that digital technology can effectively bridge geographical distances and break city hierarchies to a limited extent. These insights can inspire policymakers to harness the power of digital technology to reshape the boundaries of intercity innovation collaboration for inclusive regional development.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability Statement

Data will be made available on request.

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