Public data openness, innovation boundaries, and firm value

Public data's non-rivalry and non-exclusivity provide new opportunities for firm development, yet research on whether and how public data openness (PDO) affects firm value (FV) is quite limited. Based on the data of Chinese A-share listed companies from 2011 to 2022, this study employs model derivation and empirical validation to elucidate the influence and underlying mechanisms between PDO and FV. The findings reveal that PDO significantly increases FV, with this effect being long-lasting. Mechanism analysis indicates that PDO improves FV by extending the innovation boundaries. Further analysis identifies economic and government data as key drivers of this enhancement, while expanding data scale, improving data quality, and increasing utilization efficiency also contribute to higher FV. Heterogeneity analysis shows that the positive effect of PDO is more pronounced in firms with stronger government governance capacity, higher information sensitivity, greater digital technology levels, and those in the growth stage. The research conclusions offer valuable insights for refining PDO policies and promoting firm development.

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Publication Details

Journal
Innovation and Green Development
Published
2025-11-22
DOI
https://doi.org/10.1016/j.igd.2025.100303
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

Public data openness, innovation boundaries, and firm value

Peiyu Li, Xinzhi Liu, Zhou Hong-fu, Liping Li
1 citations
Innovation and Green Development
Big Data and Business Intelligence
2.28
article

Public data openness, innovation boundaries, and firm value

Peiyu Li, Xinzhi Liu, Zhou Hong-fu, Liping Li
article en
1 citations

Abstract

Public data's non-rivalry and non-exclusivity provide new opportunities for firm development, yet research on whether and how public data openness (PDO) affects firm value (FV) is quite limited. Based on the data of Chinese A-share listed companies from 2011 to 2022, this study employs model derivation and empirical validation to elucidate the influence and underlying mechanisms between PDO and FV. The findings reveal that PDO significantly increases FV, with this effect being long-lasting. Mechanism analysis indicates that PDO improves FV by extending the innovation boundaries. Further analysis identifies economic and government data as key drivers of this enhancement, while expanding data scale, improving data quality, and increasing utilization efficiency also contribute to higher FV. Heterogeneity analysis shows that the positive effect of PDO is more pronounced in firms with stronger government governance capacity, higher information sensitivity, greater digital technology levels, and those in the growth stage. The research conclusions offer valuable insights for refining PDO policies and promoting firm development.

Innovation and Green DevelopmentVol. 4(6)
Southwest University (CN), Shandong University (CN), Shanghai University of Finance and Economics (CN)
Openalex Percentile: Top 8%
Big Data and Business Intelligence
2.28
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Public data openness, innovation boundaries, and firm value — Peiyu Li, Xinzhi Liu, et al. · Innovation and Green Development (2025) | TGRS Research Map | TGRS