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The Impact of Digital Transformation on Total Factor Productivity
- 1 Henan University of Economics and Law
- 2 Henan University of Economics and Law
* Author to whom correspondence should be addressed.
Abstract
Amid the rapid construction of a new development paradigm, digital transformation has emerged as a critical driver of social progress and economic development. This paper examines the impact of digital transformation on corporate total factor productivity (TFP) based on annual data from A-share listed companies from 2010 to 2023. The study reveals that digital transformation significantly enhances TFP, a conclusion supported by various robustness tests. Furthermore, digital transformation empowers TFP growth by reducing information asymmetry and alleviating financing constraints. Heterogeneity analysis indicates that large enterprises and highly profitable firms tend to exhibit stronger digital transformation capabilities, resulting in more pronounced TFP improvements. This study provides valuable insights for fostering new productivity dynamics and promoting high-quality corporate development.
Keywords
digital transformation, total factor productivity, information asymmetry, financing constraints
[1]. He, F., & Qin, Y. (2019). A study on the economic consequences of the digital transformation of real enterprises under innovation-driven strategies. Journal of Dongbei University of Finance and Economics, (5), 45–52.
[2]. Chen, X. (2022). Promoting the deep integration of the digital economy and the real economy: Theoretical analysis and practical innovation. People’s Forum: Academic Frontier, (24), 64–76.
[3]. Wu, F., Hu, H., & Lin, H. (2021). Corporate digital transformation and capital market performance: Empirical evidence from stock liquidity. Management World, 37(7), 130–144+10.
[4]. Chao, X., & Wang, C. (2023). A review and outlook of the impact of the digital economy on high-quality economic development. Journal of the University of Electronic Science and Technology of China (Social Science Edition), 25(3), 1–7+58.
[5]. Ge, H., & Wu, F. (2021). The enabling effect of the digital economy on high-quality economic development: Theoretical mechanisms and empirical evidence. Nanjing Social Sciences, (1), 24–33.
[6]. The State Council. (2022). Issuance of the “14th Five-Year Plan for Digital Economy Development”. New Finance, (Z1), 8–11.
[7]. Sheng, L. (2020). The digital economy leading high-quality industrial development: Driving mechanisms, internal logic, and implementation pathways. Price Theory and Practice, (2), 13–17+34.
[8]. Chen, Q. (2020). Digital “connection”: Solving the pain points of rural revitalization – An exclusive interview with Qiu Zeqi, Professor at Peking University and Changjiang Scholar. Xiaokang, (28), 42–44.
[9]. Li, Z., & Lü, T. (2021). Digital transformation: A literature review and research outlook. Study & Exploration, (12), 130–138.
[10]. Chen, X. (2021, May 21). The influence of the digital economy on the evolution of industrial structure. Economic Daily, (006). https://doi.org/10.28425/n.cnki.njjrb.2021.008871
[11]. Liu, Y., & Chen, X. (2021). The impact of China’s digital economy development on industrial structure upgrading. Economic and Management Research, 42(8), 15–29. https://doi.org/10.13502/j.cnki.issn1000-7636.2021.08.002
[12]. Yang, D., & Liu, Y. (2018). Why does “Internet+” lead to performance? China Industrial Economics, (5), 80–98.
[13]. Shen, G., & Yuan, Z. (2020). Internetization, innovation protection, and the quality improvement of export products in Chinese enterprises. The World Economy, 43(11), 127–151.
[14]. Liu, M., Yang, H., & Zheng, S. (2024). Index construction and application of digital transformation in the insurance industry: Evidence from China. PLOS ONE, 19(1).
[15]. Chen, Q., Wang, Y., & Wan, M. (2021). Peer effects and influencing factors of corporate digital transformation. Journal of Management, 18(5), 653–663.
[16]. He, F., & Liu, H. (2019). Performance enhancement effects of real enterprise digital transformation from the perspective of the digital economy. Reform, (4), 137–148.
[17]. Liu, J. (2022). Research on total factor productivity in China: Review and prospect. Technology Economics, 41(1), 77–87.
[18]. Zheng, Y., Rawski, T. G., & Rawski, T. G. (1993). Industrial productivity in China during institutional transition. Social Sciences Academic Press.
[19]. Cai, H., & Xu, X. (2005). Research on the composition of China’s technological knowledge stock and international comparison. Research and Development Management, (4), 15–20.
[20]. Hu, A., Zheng, Y., & Gao, Y. (2015). A study on the real total factor productivity of high-energy-consuming industries in China (1995–2010): Based on input-output perspectives. China Industrial Economics, (5), 44–56.
[21]. Chen, B., Jin, X., & Ouyang, D. (2015). Housing prices, resource misallocation, and the productivity of Chinese industrial enterprises. The World Economy, 38(4), 77–98.
[22]. Zhonghao, L., & Dongmei, W. (2023). Digital transformation and total factor productivity: Empirical evidence from China. PLOS ONE, 18(10).
[23]. Jiang, W., & Li, J. (2024). Digital transformation and its effect on resource allocation efficiency and productivity in Chinese corporations. Technology in Society, 78, 102638.
[24]. Lu, X., & Lian, Y. (2012). Estimation of total factor productivity in China’s industrial enterprises: 1999–2007. China Economic Quarterly, 11(2), 541–558.
[25]. Chen, C., Zhu, L., & Zhong, H. (2019). Innovative research on digital survival management practices in Chinese enterprises. Journal of Management Science, 22(10), 1–8.
[26]. Levinsohn, J., & Petrin, A. (2003). Estimating production functions using inputs to control for unobservables. The Review of Economic Studies, 70(2), 317–341.
[27]. Guo, Q., Zhao, Z., & Jia, J. (2005). Analysis of total factor productivity in Chinese provinces. The World Economy, (5), 46–53+80.
[28]. Wang, J., & Liu, B. (2014). Environmental regulation and total factor productivity of enterprises: Empirical analysis based on Chinese industrial enterprise data. China Industrial Economics, (3), 44–56.
[29]. Tang, W., Fu, Y., & Wang, Z. (2014). Technological innovation, technology introduction, and the transformation of economic growth patterns. Economic Research Journal, 49(7), 31–43.
[30]. Wenrong, P., Tao, X., Zhuwang, W., et al. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303–311.
[31]. Chen, Z., Jiang, K., & Yin, M. (2022). Can digital transformation alleviate enterprises’ “high financing costs”? Economic Dynamics, (8), 79–97.
[32]. Nie, X., & Wu, Q. (2021). The spatial spillover effects of digital finance driving regional technological innovation. Contemporary Economic Management, 43(12), 85–96.
[33]. Chao, N., Zhou, Y., & Yang, H. (2024). How does digital transformation affect the profitability of rural commercial banks? Heliyon, 10(8), e29412.
[34]. Xu, M. (2023). Research on promoting China’s digital economy international cooperation under the new development pattern. Qilu Journal, (1), 133–142.
[35]. Guo, P., Feng, G., Wang, K., et al. (2024). Analysis of financing strategies for digital technology investment under privacy concerns and competition. International Journal of Production Economics, 274, 109294.
[36]. The State Council. (2022). Issuance of the “14th Five-Year Plan for Digital Economy Development”. New Finance, (Z1), 8–11.
Cite this article
Li,P.;Cui,S. (2024). The Impact of Digital Transformation on Total Factor Productivity. Journal of Applied Economics and Policy Studies,13,55-68.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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