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

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

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.

Suggested Citation

  • Zhong, Yuan & Lai, Huisu & Zhang, Liang & Guo, Lixiang & Lai, Xiaobing, 2025. "Does public data openness accelerate new quality productive forces? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1409-1427.
    • Handle: RePEc:eee:ecanpo:v:85:y:2025:i:c:p:1409-1427
    DOI: 10.1016/j.eap.2025.01.025
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    as
    1. Kiviet, Jan F., 2023. "Instrument-free inference under confined regressor endogeneity and mild regularity," Econometrics and Statistics, Elsevier, vol. 25(C), pages 1-22.
    2. Wang, Yaozhong & He, Pinzhen, 2024. "Enterprise digital transformation, financial information disclosure and innovation efficiency," Finance Research Letters, Elsevier, vol. 59(C).
    3. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    4. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    5. Philippe Aghion & Richard Blundell & Rachel Griffith & Peter Howitt & Susanne Prantl, 2009. "The Effects of Entry on Incumbent Innovation and Productivity," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 20-32, February.
    6. Lai, Xiaobing & Yue, Shujing & Guo, Chong & Zhang, Xinhe, 2023. "Does FinTech reduce corporate excess leverage? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 281-299.
    7. Greif, Avner & Laitin, David D., 2004. "A Theory of Endogenous Institutional Change," American Political Science Review, Cambridge University Press, vol. 98(4), pages 633-652, November.
    8. Zhuo Huang & Yunqing Tao & Xin Luo & Yongwei Ye & Tianyi Lei, 2023. "Regional digital finance and corporate investment efficiency in China," Applied Economics, Taylor & Francis Journals, vol. 55(43), pages 5115-5134, September.
    9. Lily H. Fang & Josh Lerner & Chaopeng Wu, 2017. "Intellectual Property Rights Protection, Ownership, and Innovation: Evidence from China," The Review of Financial Studies, Society for Financial Studies, vol. 30(7), pages 2446-2477.
    10. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    11. Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2024. "Revisiting Event-Study Designs: Robust and Efficient Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3253-3285.
    12. Shuke Fu & Jiabei Liu & Jiali Tian & Jiachao Peng & Chuyue Wu, 2023. "Impact of Digital Economy on Energy Supply Chain Efficiency: Evidence from Chinese Energy Enterprises," Energies, MDPI, vol. 16(1), pages 1-21, January.
    13. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.
    14. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    15. Abhishek Nagaraj, 2022. "T he P rivate I mpact of P ublic D ata: L andsat S atellite M aps I ncreased G old D iscoveries and E ncouraged E ntry," Management Science, INFORMS, vol. 68(1), pages 564-582, January.
    16. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    17. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
    18. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    19. Francisco Alcalá & Antonio Ciccone, 2004. "Trade and Productivity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 613-646.
    20. Maryam Farboodi & Laura Veldkamp, 2021. "A Model of the Data Economy," NBER Working Papers 28427, National Bureau of Economic Research, Inc.
    21. Kiviet, Jan F., 2020. "Testing the impossible: Identifying exclusion restrictions," Journal of Econometrics, Elsevier, vol. 218(2), pages 294-316.
    22. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    23. Liu, Yi & He, Zhengchu, 2024. "Synergistic industrial agglomeration, new quality productive forces and high-quality development of the manufacturing industry," International Review of Economics & Finance, Elsevier, vol. 94(C).
    24. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    25. Liu, Guangqiang & Liu, Boyang, 2023. "How digital technology improves the high-quality development of enterprises and capital markets: A liquidity perspective," Finance Research Letters, Elsevier, vol. 53(C).
    26. Daniel Bradley & Incheol Kim & Xuan Tian, 2017. "Do Unions Affect Innovation?," Management Science, INFORMS, vol. 63(7), pages 2251-2271, July.
    27. Wanyi Chen & Liguang Zhang & Pinyan Jiang & Fanli Meng & Qianyi Sun, 2022. "Can digital transformation improve the information environment of the capital market? Evidence from the analysts' prediction behaviour," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2543-2578, June.
    28. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    29. Doruk Cengiz & Arindrajit Dube & Attila Lindner & Ben Zipperer, 2019. "The Effect of Minimum Wages on Low-Wage Jobs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1405-1454.
    30. Temiz, Serdar & Holgersson, Marcus & Björkdahl, Joakim & Wallin, Martin W., 2022. "Open data: Lost opportunity or unrealized potential?," Technovation, Elsevier, vol. 114(C).
    31. Lai, Xiaobing & Yue, Shujing & Guo, Chong & Gao, Peng, 2024. "Unleashing global potential: The impact of digital technology innovation on corporate international diversification," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    32. Carlsson, Bo, 2004. "The Digital Economy: what is new and what is not?," Structural Change and Economic Dynamics, Elsevier, vol. 15(3), pages 245-264, September.
    33. Fang, Ming & Njangang, Henri & Padhan, Hemachandra & Simo, Colette & Yan, Cheng, 2023. "Social media and energy justice: A global evidence," Energy Economics, Elsevier, vol. 125(C).
    34. Lai, Xiaobing & Quan, Lei & Guo, Chong & Gao, Xing, 2025. "Exploring the digital era: Has digital technology innovation reshaped investment efficiency in Chinese enterprises?," Research in International Business and Finance, Elsevier, vol. 75(C).
    35. Huang, Rui & Quan, Lei & Luo, Haotian & Gao, Ziwei & Lai, Xiaobing & Tang, Song, 2024. "Can FinTech promote enterprise cross-region investment? ——Evidence from China," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    36. Zhong, Yuan & Lai, Xiaobing & Tan, Lei, 2025. "Silent generosity: The impact of regulatory distance on silent donations," Economics Letters, Elsevier, vol. 247(C).
    37. Ni, Kejin & Zhang, Rui & Tan, Lei & Lai, Xiaobing, 2024. "How ESG enhances corporate competitiveness: Mechanisms and Evidence," Finance Research Letters, Elsevier, vol. 69(PB).
    38. Linzhi Han & Zhongan Zhang, 2023. "Impact of digital finance on enterprise green innovation: From the perspective of information asymmetry, consumer demand and factor market distortions," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-31, December.
    39. Stiglitz, Joseph E., 2003. "Globalization and growth in emerging markets and the New Economy," Journal of Policy Modeling, Elsevier, vol. 25(5), pages 505-524, July.
    40. Hongtao Wang & Wencheng Cao & Fei Wang, 2022. "Digital Transformation and Manufacturing Firm Performance: Evidence from China," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    41. John Gardner, 2022. "Two-stage differences in differences," Papers 2207.05943, arXiv.org.
    42. Wen, Huwei & Wen, Changyong & Lee, Chien-Chiang, 2022. "Impact of digitalization and environmental regulation on total factor productivity," Information Economics and Policy, Elsevier, vol. 61(C).
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    2. Yuan Yuan & Hong Dai & Jiaqi Ma, 2025. "The Impact of Corporate ESG Performance on Supply Chain Resilience: A Mediation Analysis Based on New Quality Productive Forces," Sustainability, MDPI, vol. 17(10), pages 1-20, May.
    3. Jie Wang & Xiaohui Zhou & Yunning Ma & Yongrok Choi, 2025. "Public Data Elements and Enterprise Digital Transformation: A Quasi-Natural Experiment Based on Open Government Data Platforms for Sustainable Urban Planning," Sustainability, MDPI, vol. 17(10), pages 1-32, May.

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