The Impact of Digital Transformation on the Innovation Capacity of Chinese-Listed Firms: The Role of Government Subsidies
Abstract
As digital transformation progresses, listed Chinese firms are undergoing significant changes in their practices. These changes are crucial for establishing and maintaining a competitive advantage. This research investigates the process by which digital transformation affects firms' capacity to innovate, specifically focusing on the influence of government subsidies. The data was obtained from 1,063 publicly traded in China from 2018 to 2022 with a total of 4,027 data points. A fixed-effects model, stepwise regression analysis, and bootstrapping techniques were employed to construct the models. To address the conventional quantitative constraints and provide a nuanced comprehension of digital transformation's influence, this study uses textual analysis. Research has shown that digital transformation has a substantial positive impact on the ability of companies to innovate. Additionally, government subsidies are proven to have a role in facilitating this process. This paper offers a fresh viewpoint on comprehending the mechanism of government subsidies for digital transformation and corporate innovation capability. It also provides evidence supporting the idea that government subsidies may enhance innovation incentives more effectively.
Keywords
Full Text:
PDFReferences
Alduais, F. (2022). Textual analysis of the annual report and corporate performance: evidence from China. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/jfra-04-2022-0129
Alfons, A., Ate?, N. Y., & Groenen, P. J. (2022). A robust bootstrap test for mediation analysis. Organizational Research Methods, 25(3), 591-617. https://doi.org/10.1177/1094428121999096
Andargoli, A. E., Gholipour, H. F., & Farzanegan, M. R. (2023). Government’s support for adoption of digital technologies and firms’ innovation during the COVID-19 pandemic. Applied Economics, 55(47), 5518-5527. https://doi.org/10.1080/00036846.2022.2140110
Andiana, A. R., Kusmantini, T., & Nilmawati, N. (2024). Analysis of the effect of trust and information sharing on supply chain performance with innovation as a mediating variable (study on Gula Semut SMEs in Kulon Progo Regency). International Journal of Applied Business and International Management, 9(1), 149-164. https://doi.org/10.32535/ijabim.v9i1.2914
Atinc, G., Simmering, M. J., & Kroll, M. J. (2012). Control variable use and reporting in macro and micro management research. Organizational Research Methods, 15(1), 57-74. https://doi.org/10.1093/acrefore/9780190224851.013.221
Balch, G. I. (1980). The stick, the carrot, and other strategies: A theoretical analysis of governmental intervention. Law & Policy, 2(1), 35-60. https://doi.org/10.1111/j.1467-9930.1980.tb00203.x
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Brüggemann, J., & Proeger, T. (2017). The effectiveness of public subsidies for private innovations. An experimental approach. The BE Journal of Economic Analysis & Policy, 17(4), 20160089. https://doi.org/10.1515/bejeap-2016-0089
Callaghan, S. (2014). Preserving the integrity of the scientific record: Data citation and linking. Learned Publishing, 27(5), 15–24. https://doi.org/10.1087/20140504
Chen, J., & Xie, L. (2019). Industrial policy, structural transformation, and economic growth: evidence from China. Frontiers of Business Research in China, 13(1), 18. https://doi.org/10.1186/s11782-019-0065-y
Chen, T. C., & Wu, Y. J. (2020). The influence of R&D intensity on financial performance: The mediating role of human capital in the semiconductor industry in Taiwan. Sustainability, 12(12), 5128. https://doi.org/10.3390/su12125128
deHaan, E. (2021). Practical guidance on using and interpreting fixed effects models. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3699777
Dianfan, Y., & Jiaxi, W. (2022). Research on the impact of government subsidies on enterprise innovation in different life cycles. Journal of Finance and Economics, 48(01), 19-33. https://doi.org/10.16538/j.cnki.jfe.20211016.303
Ding, J., Wang, J., Liu, B., & Peng, L. (2022). ‘Guidance'or ‘Misleading'? The government subsidy and the choice of enterprise innovation strategy. Frontiers in Psychology, 13, 1005563. https://doi.org/10.3389/fpsyg.2022.1005563
Fan, M., Huang, W., & Xiong, S. (2023). How enterprise interactions in innovation networks affect technological innovation performance: The role of technological innovation capacity and absorptive capacity. PLOS ONE, 18(3), e0282540. https://doi.org/10.1371/journal.pone.0282540
Fedulov, D., & Pobedin, A. (2021). Theoretical aspects of innovation management. In SHS Web of Conferences (Vol. 116, pp. 00034). EDP Sciences. https://doi.org/10.1051/shsconf/202111600034
Gao, X. (2023). The impact of government subsidies on firms’ innovation inputs and outputs in the early stage of the wind industry development. Chinese Public Administration Review, 14(1), 15-26. https://doi.org/10.1177/153967542211304 70
Grudkina, M. A., Grudkina, T. I., & Kravchenko, T. S. (2021). Innovation-Oriented Government Support of Agricultural Industry. In The Challenge of Sustainability in Agricultural Systems (Volume 2, pp. 471-478). Springer International Publishing.
Guan, Y. (2023). The impact of digital transformation on enterprise innovation. Frontiers in Business, Economics and Management, 11(1), 112-116. https://doi.org/10.54097/fbem.v11i1.11824
Gupta, S., Modgil, S., Bhushan, B., Kamble, S., & Mishra, J. (2024). Digital innovation and transformation capabilities in a large company. Expert Systems, 41(7), e13452. https://doi.org/10.1111/exsy.13452
Gustafsson, A., Tingvall, P.G. & Halvarsson, D. (2020). Subsidy entrepreneurs: An inquiry into firms seeking public grants. Journal of Industry, Competition and Trade, 20, 439–478. https://doi.org/10.1007/s10842-019-00317-0
Hang, Y., & Chengliang, Z. (2020). The influence of government R&D subsidies on China’s industrial structure transformation and upgrading: Push or drag?. Journal of Finance and Economics, 46(09), 63-77. https://doi.org/10.16538/j.cnki.jfe.20191217.301
Hayati, S. D., & Masdupi, E. (2022). The effect of profitability, liquidity, growth opportunity, risk and tangibility asset on company value with capital structure as mediating variable. Financial Management Studies, 2(4), 20-31. http://dx.doi.org/10.24036/jkmk.v2i4.117
Hitham, M., Elkadi, H., & El Tazi, N. (2023). Consolidated definition of digital transformation by using text mining. International Journal of Advanced Computer Science and Applications, 14(3), 544-552. https://doi.org/10.14569/ijacsa.2023.0140363
Jin, Z., & Qin, J. (2024). Does digital transformation promote innovation performance? Evidence from listed Chinese firms. Journal of Accounting, Business and Finance Research, 18(1), 12-25.
Li, M., Cao, G., Li, H., Hao, Z. & Zhang, L. (2023). How government subsidies affect technology innovation in the context of Industry 4.0: Evidence from Chinese new-energy enterprises, Kybernetes. https://doi.org/10.1108/K-08-2022-1098
Li, Q., Wang, J., Cao, G., & Zhang, J. (2021). Financial constraints, government subsidies, and corporate innovation. PLOS ONE, 16(11), e0259642. https://doi.org/10.1371/journal.pone.0259642
Li, W., & Pang, W. (2023). Digital inclusive finance, financial mismatch and the innovation capacity of small and medium-sized enterprises: Evidence from Chinese listed companies. Heliyon, 9(2), e13792. https://doi.org/10.1016/j.heliyon.2023.e13792
Liang, S., & Li, T. (2022). Can digital transformation promote innovation performance in manufacturing enterprises? The mediating role of R&D capability. Sustainability, 14(17), 10939. https://doi.org/10.3390/su141710939
Liu, Q., Li, Q., & Di, J. (2023). The impact of R&D subsidies and Non-R&D subsidies on innovation output of biopharmaceutical firms. Science, Technology and Society, 28(2), 319-341. https://doi.org/10.1177/09717218231161008
Nureen, N., Sun, H., Irfan, M., Nuta, A. C., & Malik, M. (2023). Digital transformation: Fresh insights to implement green supply chain management, eco-technological innovation, and collaborative capability in manufacturing sector of an emerging economy. Environmental Science and Pollution Research, 30(32), 78168-78181. https://doi.org/10.1007/s11356-023-27796-3
Osagiede, A. A., & Ekhosuehi, V. U. (2015). A theoretical framework for determining the appropriate level of subsidy in an economy. Operations Research and Decisions, 25(2), 19-35. http://dx.doi.org/10.5277/ord150202
Park, J., Choi, B., & Huang, W. (2023). Innovation under debtor-friendly institutional policy: Strategic patenting perspective of Chinese listed firms. International Review of Financial Analysis, 89, 102719. https://doi.org/10.1016/j.irfa.2023.102719
Ponta, L., Puliga, G., & Manzini, R. (2021). A measure of innovation performance: The Innovation Patent Index. Management Decision, 59(13), 73-98. https://doi.org/10.1108/md-05-2020-0545
Pradnyawati, S. O., Keprameni, P., & Darmaputri, A. A. I. L. (2023). How does governance, individual internal factors and supervisory functions affect the quality of savings and loans cooperative financial reports?. International Journal of Applied Business and International Management, 8(3), 93-102. https://doi.org/10.32535/ijabim.v8i3.2689
Selimovi?, J. (2021). Digital workplace transformation in the financial service sector: Investigating the relationship between employees’ expectations and intentions. Technology in Society, 66, 101640. https://doi.org/10.1016/j.techsoc.2021.101640
Shabbir, M., Mubarik, M. S., & Jalil, Q. (2023). Interplay of intellectual capital and digital tranformation to enhance innovation performance. British Journal of Management and Marketing Studies, 6(1), 113-126. https://doi.org/10.52589/BJMMS-DGMILR5O
Wang, H., & Li, B. (2023). Research on the synergic influences of digital capabilities and technological capabilities on digital innovation. Sustainability, 15(3), 2607. https://doi.org/10.3390/su15032607
Wang, X., Gu, Y., Ahmad, M., & Xue, C. (2022). The impact of digital capability on manufacturing company performance. Sustainability, 14(10), 6214. https://doi.org/10.3390/su14106214
Wang, S., Li, X., Li, Z., & Ye, Y. (2023). The effects of government support on enterprises' digital transformation: Evidence from China. Managerial and Decision Economics, 44(5), 2520-2539. https://doi.org/10.1002/mde.3831
Wei, X., Liu, R., & Chen, W. (2023). Meta theories of technological innovation based on the analysis of classic texts. Heliyon, 9(6), e16779–e16779. https://doi.org/10.1016/j.heliyon.2023.e16779
Wu, A. (2017). The signal effect of Government R&D subsidies in China: Does ownership matter? Technological Forecasting and Social Change, 117, 339–345. https://doi.org/10.1016/j.techfore.2016.08.033
Wu, W., Wang, S., Jiang, X., & Zhou, J. (2023). Regional digital infrastructure, enterprise digital transformation, and entrepreneurial orientation: Empirical evidence based on the broadband China strategy. Information Processing and Management, 60(5), 103419–103419. https://doi.org/10.1016/j.ipm.2023.103419
Xia, Y., & Jia, Y. (2023). The impact of industry-university-research projects on biopharmaceutical companies’ innovation performance: moderating roles of government subsidies for innovation. Frontiers in Public Health, 11, 1271364. https://doi.org/10.3389/fpubh.2023.1271364
Xie, X., & Wang, S. (2023). Digital transformation of commercial banks in China: Measurement, progress and impact. China Economic Quarterly International, 3(1), 35–45. https://doi.org/10.1016/j.ceqi.2023.03.002
Xu, L. (2023). The impact of digital transformation on enterprise innovation: Based on the empirical analysis of listed companies. Frontiers in Business, Economics and Management, 11(3), 207-214. https://doi.org/10.54097/fbem.v11i3.13217
Zhai, H., Yang, M., & Chan, K. C. (2022). Does digital transformation enhance a firm's performance? Evidence from China. Technology in Society, 68, 101841. https://doi.org/10.1016/j.techsoc.2021.101841
Zulfahmi, Z., Radeswandri, R., Ngarbingan, H., & Ginting, G. (2022). A comprehensive structural model of online/website experience. International Journal of Applied Business and International Management, 7(3), 83-96. https://doi.org/10.32535/ijabim.v7i3.1965
DOI: https://doi.org/10.32535/ijabim.v9i2.3393
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Zhu Yiming, Leo Delaric Manansala

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
International Journal of Applied Business and International Management (IJABIM)
ISSN 2614-7432 (Print) | ISSN 2621-2862 (Online)
DOI Prefix: 10.32535 by CrossRef
Published by AIBPM Publisher
JL. Kahuripan No. 9, Hotel Sahid Montana, Malang, Indonesia
Email: journal.ijabim@gmail.com
Phone: +62 341 366222
Website: https://aibpmpublisher.com/
Governed by
Association of International Business and Professional Management
Email: admin@aibpm.org
Website: https://www.aibpm.org/
Licensing Information
The International Journal of Applied Business and International Management (IJABIM) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License .