How data elements fuel new quality productive forces in enterprises: A perspective from digital finance
Author
Abstract
Suggested Citation
DOI: 10.1016/j.frl.2025.109068
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Charles I. Jones & Christopher Tonetti, 2020.
"Nonrivalry and the Economics of Data,"
American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
- Charles Jones & Christopher Tonetti, 2018. "Nonrivalry and the Economics of Data," 2018 Meeting Papers 477, Society for Economic Dynamics.
- Charles I. Jones & Christopher Tonetti, 2019. "Nonrivalry and the Economics of Data," NBER Working Papers 26260, National Bureau of Economic Research, Inc.
- Wang, Haijun & Zhou, Lili & Liu, Xin & Li, Huiyang & Liu, Ying, 2025. "Digital finance and new quality productive force of enterprise: Based on the analysis of enterprise industrial and commercial big data," International Review of Financial Analysis, Elsevier, vol. 104(PA).
- Lubang Wang & Shuping Lin & Mingliang Zhang & Jia Ding & Liqin Zhang, 2025. "RETRACTED ARTICLE: Technological Innovation Through Complex Networks: a Study of 100 Listed Companies on China’s Growth Enterprise Market," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 6200-6247, June.
- Yan, Yingchuan & Tu, Yongqian & Zhu, Gaofeng & Tian, Grace Li, 2025. "Regional knowledge protection, innovation level, and data element level," International Review of Economics & Finance, Elsevier, vol. 100(C).
- Gao, Dengyun & Liu, Chang & Sun, Zhanwei, 2025. "Data elements and corporate innovation: A discussion of corporate innovation strategy," Finance Research Letters, Elsevier, vol. 76(C).
- Zhijuan Zong & Yu Guan, 2025. "AI-Driven Intelligent Data Analytics and Predictive Analysis in Industry 4.0: Transforming Knowledge, Innovation, and Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 864-903, March.
- Lubang Wang & Shuping Lin & Mingliang Zhang & Jia Ding & Liqin Zhang, 2025. "Retraction Note: Technological Innovation Through Complex Networks: a Study of 100 Listed Companies on China’s Growth Enterprise Market," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(6), pages 19080-19080, December.
- Raju Imandi & B. Chethana & B. M. Prabhu Prasad & Kamalakanta Sethi & B. N. Pavan Kumar, 2025. "Enhancing Data Management in Industry 5.0: The Role of Digital Twins in Optimizing Industrial Operations," Springer Books, in: Indranil Sarkar & Abhishek Hazra & Poonam Maurya (ed.), Industry 5.0, pages 211-236, Springer.
- Lu, Jiwei & Zhao, Genhong, 2025. "Digital finance, data elements, and artificial intelligence innovation," Finance Research Letters, Elsevier, vol. 85(PA).
- Shan, Zidan & Han, Xiangyu & Huang, Dou & Xu, Guang, 2025. "Regional digital–green synergy transformation and enterprise new quality productive forces," Finance Research Letters, Elsevier, vol. 79(C).
- David Sanchez-Londono & Giacomo Barbieri & Luca Fumagalli, 2023. "Smart retrofitting in maintenance: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 1-19, January.
- Xu, Ning & Xu, Longchao & Yan, Xiang-Wu, 2025. "Data factor marketization empowering enterprise innovation quality: New evidence from Chinese patent citations," International Review of Economics & Finance, Elsevier, vol. 103(C).
- Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
- Zhong, Changbiao & Zhang, Chao, 2024. "Can data elements enhance urban innovation? Evidence from China," China Economic Review, Elsevier, vol. 88(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zuo, Xiaoming & Liu, Huaijie & Sun, Peng, 2026. "Does the industrial internet enhance firm innovation? Evidence from China’s pilot reform," Finance Research Letters, Elsevier, vol. 88(C).
- Wu, Shan & Zou, Mengqi & Jin, Tongen, 2025. "Data element marketization and corporate investment efficiency: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 104(PA).
- Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
- Yang, Yun & Li, Yushuang & Liang, Xueping, 2025. "The role of data trading platforms (DTPs) in digital technology innovation: Mechanisms and evidence from China," Journal of Policy Modeling, Elsevier, vol. 47(6), pages 1372-1396.
- Dongri Han & Ke Lu & Peisen Liu, 2025. "Multiplication of number and quality rise: data elements enable low-carbon innovation," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-17, December.
- Zofia Grodek-Szostak & Marcin Suder & Aneta Piechaczek & Luis Ochoa Siguencia, 2021. "Assessment and Comparison of Digital Competences in Education for Selected European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 348-361.
- Fan, Zhenqi & Cui, Jie & Wu, Wenjing, 2026. "Spatial spillover effect of green credit on carbon emission intensity in China: The role of high-quality productive forces," Economic Modelling, Elsevier, vol. 154(C).
- Gao, Jie & Li, Zhizhuo & Nguyen, Thithuha & Zhang, Wentao, 2025. "Digital transformation and enterprise employment," International Review of Economics & Finance, Elsevier, vol. 99(C).
- Yang, Liguo & Li, Jingjing & Liu, Xintong, 2026. "Can corporate data assets gain preference? Evidence from supply chain financing," Finance Research Letters, Elsevier, vol. 89(C).
- Hang Thu Nguyen-Phung & Miki Kohara & Secil Er, 2024. "The impact of ICT development on female employment and household’s well-being in Vietnam," The Japanese Economic Review, Springer, vol. 75(4), pages 951-978, December.
- Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2024.
"The empirics of technology, employment and occupations: Lessons learned and challenges ahead,"
Journal of Economic Surveys, Wiley Blackwell, vol. 38(5), pages 1622-1655, December.
- Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," DISCE - Working Papers del Dipartimento di Politica Economica dipe0028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
- Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "The Empirics of Technology, Employment and Occupations: Lessons Learned and Challenges Ahead," IZA Discussion Papers 15731, IZA Network @ LISER.
- Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," LEM Papers Series 2022/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," GLO Discussion Paper Series 1202, Global Labor Organization (GLO).
- de Pedraza, Pablo & Vollbracht, Ian, 2020. "The Semicircular Flow of the Data Economy and the Data Sharing Laffer curve," GLO Discussion Paper Series 515, Global Labor Organization (GLO).
- Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
- Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
- Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
- Mayuree Santhadkitjakarn & Somtip Watanapongvanich, 2025. "The Impact of Artificial Intelligence on China’s Labor Market," RAIS Conference Proceedings 2022-2026 0506, Research Association for Interdisciplinary Studies.
- Huang, Zhehao & Dong, Hao & Liu, Zhaofei & Albitar, Khaldoon, 2025. "Unleashing the empowered effect of data resource on inclusive green growth: Based on double machine learning," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1270-1290.
- Battisti & M. Del Gatto & A. Gravina & C. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Feng, Wei & Sun, Shujun & Yuan, Hang, 2023. "Research on the efficiency of factor allocation in the pilot free trade zones," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 727-745.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:87:y:2026:i:c:s1544612325023177. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/finlet/v87y2026ics1544612325023177.html