The impact of data sharing on capital flows across regions

Tianxiang Sheng and Jiahui Teng

Applied Economics, 2025, vol. 57, issue 51, 8421-8433

Abstract: This study examines the impact of data sharing on interregional capital flows across 270 Chinese cities from 2008 to 2021. It employs a multi-period difference-in-differences model to test the impact of data sharing on capital flows. The results indicate that data sharing significantly promotes regional capital inflows by enhancing regional innovation capacity and optimizing resource allocation efficiency. Additionally, regions with higher industrial sophistication, stronger data application capabilities, and more advanced financial development exhibit a stronger effect of data sharing in promoting capital inflows. In contrast, government intervention in capital outflow regions impedes capital mobility. Consequently, capital tends to concentrate in central cities. These findings suggest that data, when combined with traditional factors, reshapes regional capital allocation. This study provides new theoretical foundations for overcoming regional capital flow barriers and promoting optimal allocation of capital factors.

Date: 2025
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DOI: 10.1080/00036846.2025.2473118

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