Data Assets and Enterprise Innovation Performance
DOI:
https://doi.org/10.54097/hfywyj94Keywords:
Data assets, Enterprise innovation performance, High-quality economic development, New quality productivityAbstract
In recent years, data has shown an exponential growth trend in the era of rapid economic development. As a new asset, data has also played its practical application value on various platforms. It has become an important strategic resource for enterprises and even countries, providing favorable conditions for stimulating enterprises' innovation willingness and improving their innovation performance. Taking the data of China's A-share listed companies from 2014 to 2023 as research samples, this paper examines the impact of data assets on enterprise innovation performance and its mechanism. The results show that: (1) Data assets can help improve enterprise innovation performance; (2) Easing corporate financing constraints and promoting corporate integration into the global innovation network are the ways that data assets affect corporate innovation performance; (3) Compared with smaller enterprises, the promotion effect of data assets on innovation performance is more significant in larger enterprises. The research in this paper provides new empirical evidence for the microeconomic benefits of data assets, and has important practical significance and theoretical value for promoting enterprises to improve new quality productivity and promote high-quality economic development.
Downloads
References
[1] S. M. Fazzari and M J Athey, “Asymmetric information, financing constraints, and investment,” The Review of Economics and Statistics, submitted for publication.
[2] J. Li, J. Xia, and E. J. Zajac, “On the duality of political and economic stakeholder influence on firm innovation performance: T heory and evidence from C hinese firms,” Strategic Management Journal, submitted for publication.
[3] C. R. Hulten and X. Hao, “What is a Company Really Worth? Intangible Capital and the ‘Market to Book Value’ Puzzle,” National Bureau of Economic Research, submitted for publication.
[4] M. Y. Carriere-Swallow and M. V. Haksar, “The economics and implications of data: an integrated perspective,” International Monetary Fund, submitted for publication.
[5] C. W. L. Hill and S. A. Snell, “Effects of ownership structure and control on corporate productivity,” Academy of Management journal, submitted for publication.
[6] P. A. David, B. H. Hall, “Toole A A. Is public R&D a complement or substitute for private R&D? A review of the econometric evidence,” Research policy, submitted for publication.
[7] D. Czarnitzki, P. Hanel, and J. M. Rosa, “Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms,” Research policy, submitted for publication.
[8] M. Rogers, “Networks, firm size and innovation,” Small business economics, submitted for publication.
[9] V. L. Barker and G. C. Mueller, “CEO characteristics and firm R&D spending,” Management science, submitted for publication.
[10] P. Boeing, “The allocation and effectiveness of China’s R&D subsidies-Evidence from listed firms,” Research policy, submitted for publication.
[11] J. Kim and C. Y. Lee, “Technological regimes and firm survival,” Research Policy, submitted for publication.
[12] D. G. Pérez-De-Lema, P. B. Hansen, A. Madrid-Gujjarro, et al, “Influence of the business environment in the dynamics of innovation and in the performance of SMEs,” International Journal of Innovation Management, submitted for publication.
[13] C. Li, D. Y. Li, G. Miklau, et al, “A theory of pricing private data,” ACM Transactions on Database Systems (TODS), submitted for publication.
[14] Z. Li, Z. Yang, and S. Xie, “Computing resource trading for edge-cloud-assisted Internet of Things,” IEEE Transactions on Industrial Informatics, submitted for publication.
[15] C. Xu, K. Zhu, C. Yi, et al, “Data pricing for blockchain-based car sharing: A stackelberg game approach,” IEEE Global Communications Conference, submitted for publication.
[16] K. Liu, X. Qiu, W. Chen, et al, “Optimal pricing mechanism for data market in blockchain-enhanced Internet of Things,” IEEE Internet of Things Journal, submitted for publication.
[17] H. Yu, M. Zhang, “Data pricing strateg y based on dat a qua lity,” Computers & Industrial Engineering, submitted for publication.
[18] C. I. Jones, C. Tonetti, “Nonrivalry and the Economics of Data,” American Economic Review, submitted for publication.
[19] I. C. Ehie, K. Olibe, “The effect of R&D investment on firm value: An examination of US manufacturing and service industries,” International Journal of Production Economics, submitted for publication.
[20] M. Bogers, H. Chesbrough, and C. Moedas, “Open innovation: Research, practices, and policies,” California management review, submitted for publication.
[21] H. Chesbrough, C. Lettl, and T. Ritter, “Value creation and value capture in open innovation,” Journal of Product Innovation Management, submitted for publication.
[22] H. Zhang, Z. Ma, X. Liang, et al, “Antecedents and outcomes of open innovation over the past 20 years: A framework and meta‐analysis,” Journal of Product Innovation Management, submitted for publication.
[23] A. Acquisti, C. Taylor, and L. Wagman, “The economics of privacy,” Journal of economic Literature, submitted for publication.
[24] L. Chen, X. F. Wang, T. Guan, et al, “Enterprise digital path: Internal transformation to external empowerment,” Science Research Management, submitted for publication.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
