Does public data openness accelerate new quality productive forces? Evidence from China

Yuan Zhong, Huisu Lai, Liang Zhang, Lixiang Guo and Xiaobing Lai

Economic Analysis and Policy, 2025, vol. 85, issue C, 1409-1427

Abstract: This study explores the impact of public data openness on Chinese listed companies' new quality productive forces. Based on text analysis and machine learning, the results show that public data openness significantly improves the new quality productive forces of enterprises. Through the channels of improving the quality of information disclosure, enhancing the quality of innovation, and improving the efficiency of the supply chain, the new quality productive forces of enterprises can be promoted to achieve a leap. In addition, intellectual property protection, science and technology financial expenditure, and digital transformation positively moderated the relationship between public data openness and new quality productive forces. The results have important implications for emerging market economies to enhance the new quality productive forces of enterprises through the opening of public data.

Keywords: Open public data; New quality productive forces; Text analytics; Machine learning (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:85:y:2025:i:c:p:1409-1427

DOI: 10.1016/j.eap.2025.01.025

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