The deep integration of the digital economy with the
real economy is a crucial pathway to achieving high-quality development in the
new era. Based on the data of listed companies in China from 2012 to 2021, this
paper uses the OLS regression model to empirically study how digital technology drives
the total factor productivity of enterprises. The research results show that
the enhancement of digital technology can significantly increase the total
factor productivity of enterprises. At the same time, this paper selects
enterprise innovation ability, cost and human capital structure as mediating
variables to conduct mechanism tests to verify the specific path of digital
technology affecting enterprise total factor productivity. Through group
regression for heterogeneity research, this paper finds that the promotion
effect of digital technology on enterprise total factor productivity is more
obvious in non-high-tech industry
enterprises and state-owned enterprises. Finally, this paper also conducts a
robustness test by replacing the independent and dependent variables to prove
the robustness of the above conclusions. This study provides micro evidence for
the promotion effect of digital technology on enterprise efficiency, which is of great significance for enhancing total
factor productivity and achieving high-quality economic development.
References
[1]
Acemoglu, D. M., & Restrepo, P. M. (2018). Artificial Intelligence, Automation, and Work. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3098384
[2]
Ai, Y., & Peng, D. (2021). Independent Innovation, Opening Up, and Total Factor Productivity of High-Tech Industries: A Study Based on the Perspective of Absorptive Capacity. Finance and Economics, 9, 68-75.
[3]
Chen, C. (2019). Research on the Construction of the Capability System of Traditional Enterprise Digital Transformation. People’s Forum: Academic Frontiers, No. 18, 6-12. https://doi.org/10.16619/j.cnki.rmltxsqy.2019.18.001
[4]
Chen, S., & Sun, G. (2022). Directors’ Appointments in Related Industries, Innovation Capability, and Total Factor Productivity of Enterprises. Economic and Management Research, 43, 37-58. https://doi.org/10.13502/j.cnki.issn1000-7636.2022.07.003
[5]
Clemons, E. K., Reddi, S. P., & Row, M. C. (1993). The Impact of Information Technology on the Organization of Economic Activity: The “Move to the Middle” Hypothesis. Journal of Management Information Systems, 10, 9-35. https://doi.org/10.1080/07421222.1993.11517998
[6]
Curtis, C. C. (2016). Economic Reforms and the Evolution of China’s Total Factor Productivity. Review of Economic Dynamics, 21, 225-245. https://doi.org/10.1016/j.red.2015.02.005
[7]
Dvoulety, O., & Blaková, I. (2021). Exploring Firm-Level and Sectoral Variation in Total Factor Productivity (TFP). International Journal of Entrepreneurial Behaviour & Research, 6, 1526-1547. https://doi.org/10.1108/IJEBR-11-2020-0744
[8]
Guo, J., & Luo, P. (2016). Does the Internet Promote China’s Total Factor Productivity? Management World, No. 10, 34-49. https://doi.org/10.19744/j.cnki.11-1235/f.2016.10.003
[9]
Guo, Q., & Jia, J. (2005). Estimation of China’s Total Factor Productivity: 1979-2004. Economic Research, No. 6, 51-60. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ200506004.htm
[10]
Hsueh, C. T., & Klenow, P. J. (2009). Misallocation and Manufacturing TFP in China and India. The Quarterly Journal of Economics, 124, 1403-1448. https://doi.org/10.1162/qjec.2009.124.4.1403
[11]
Ilvonen, I., Thalmann, S., Manhart, M., & Sillaber, C. (2018). Reconciling Digital Transformation and Knowledge Protection: A Research Agenda. Knowledge Management Research & Practice, 16, 235-244. https://doi.org/10.1080/14778238.2018.1445427
[12]
Lao, G., & Mo, B. (2018). Study on the Efficiency and Total Factor Productivity of China’s Securities Companies—Based on Hicks-Moorsteen TFP Index Method. Technology and Investment, 9, 52-67. https://doi.org/10.4236/ti.2018.91004
[13]
Levinsohn, J., & Petrin, A. (2003). Estimating Production Functions Using Inputs to Control for Unobservables. The Review of Economic Studies, 70, 317-341. https://doi.org/10.1111/1467-937X.00246
[14]
Li, C., & Song, M. (2010). Innovation Activities of Chinese Manufacturing Enterprises: The Role of Ownership and CEO Incentives. Economic Research, 45, 55-67. http://qikan.cqvip.com/Qikan/Article/Detail?id=33922191
[15]
Li, L., Su, F., Zhang, W. et al. (2018). Digital Transformation by SME Entrepreneurs: A Capability Perspective. Information Systems Journal, 28, 1129-1157. https://doi.org/10.1111/isj.12153
[16]
Li, Y., Xiang, Z., & Liao, C. (2022). Research on the Configuration Path of Advanced Manufacturing Digital Transformation: Based on the Theoretical Framework of “Technology-Organization-Environment”. Science and Technology Management Research, 42, 119-126. https://www.cnki.com.cn/Article/CJFDTOTAL-KJGL202203015.htm
[17]
Liu, J., Zhou, K., Zhang, Y., & Tang, F. (2023). The Effect of Financial Digital Transformation on Financial Performance: The Intermediary Effect of Information Symmetry and Operating Costs. Sustainability, 15, Article 5059. https://doi.org/10.3390/su15065059
[18]
Liu, K., Liu, R., Li, T. et al. (2022). Manufacturing Service Level, Technological Innovation, and Total Factor Productivity. Theoretical Research in Finance and Economics, No. 2, 89-101. https://doi.org/10.13894/j.cnki.jfet.2022.02.005
[19]
Lu, X., & Lian, Y. (2012). Estimation of China’s Industrial Enterprise Total Factor Productivity: 1999-2007. Economic Research, 11, 541-558. https://doi.org/10.13821/j.cnki.ceq.2012.02.013
[20]
Luo, J., Zhang, J., & Li, K. (2023). How Does Digital Technology Innovation Drive the Total Factor Productivity of Manufacturing Enterprises? Evidence from Patent Data of Listed Companies. Journal of Finance and Economics Research, 49, 95-109. https://doi.org/10.16538/j.cnki.jfe.20221118.101
[21]
Malone, T. W., Yates, J., & Benjamin, R. I. (1987). Electronic Markets and Electronic Hierarchies. Communication of the ACM, 30, 484-497. https://doi.org/10.1145/214762.214766
[22]
Min, H., Huang, J., Zhang, K. et al. (2023). Does Digital Transformation of Enterprises Help Reduce the Cost of Equity Capital. Mathematical Biosciences and Engineering, 20, 6498-6516. https://doi.org/10.3934/mbe.2023280
[23]
Minniti, A., & Venturini, F. (2017). R&D Policy, Productivity Growth, and Distance to Frontier. Economics Letters, 159, 92-94. https://doi.org/10.1016/j.econlet.2017.04.005
[24]
Nwankpa, J. K., & Roumani, Y. (2016). IT Capability and Digital Transformation: A Firm Performance Perspective. In International Conference on Information Systems. https://www.researchgate.net/publication/362751432_IT_Capability_and_Digital_Transformation_A_Firm_Performance_Perspective_Completed_Research_Paper
[25]
Olley, G. S., & Pakes, A. (1996). The Dynamics of Productivity in the Telecommunications Equipment Industry. Econometrica, 64, 1263-1297. https://doi.org/10.2307/2171831
[26]
Qi, Y., Du, B., & Wen, X. (2021). Digital Transformation in State-Owned Enterprises: Mission Integration and Model Selection—A Case Study of Digital Transformation Practices in Three Central Enterprises. Management World, 37, 137-158+10. https://doi.org/10.19744/j.cnki.11-1235/f.2021.0176
[27]
Shen, N., Liao, H., & Deng, R. (2019). Different Types of Environmental Regulations and the Heterogeneous Influence on the Environmental Total Factor Productivity: Empirical Analysis of China’s Industry. Journal of Cleaner Production, 211, 171-184. https://doi.org/10.1016/j.jclepro.2018.11.170
[28]
Tan, K. H., Zhan, Y. Z., Ji, G. et al. (2015). Harvesting Big Data to Enhance Supply Chain Innovation Capabilities: An Analytic Infrastructure Based on Deduction Graph. International Journal of Production Economics, 165, 223-233. https://doi.org/10.1016/j.ijpe.2014.12.034
[29]
Tan, Z., Zhao, X., Pan, J., & Tan, J. (2022). The Value of Digital Transformation: From the Perspective of Enterprise Cash Holdings. Financial Research, 48, 64-78. https://doi.org/10.16538/j.cnki.jfe.20220113.103
[30]
Tang, S., Su, X., & Zhao, D. (2022). Financial Technology and Enterprise Digital Transformation: Based on the Perspective of Enterprise Lifecycle. Finance & Economics, 2, 17-32.
[31]
Tian, L., & Lu, X. (2021). Tax Reduction, Enterprise Entry and Exit, and Total Factor Productivity. Management World, 37, 56-77. https://doi.org/10.19744/j.cnki.11-1235/f.20211123.001
[32]
Tian, X., & Li, R. (2022). Empowering Real Economy Transformation and Development with Digital Technology: An Analysis Framework Based on Schumpeter’s Endogenous Growth Theory. Management World, 38, 56-74. https://doi.org/10.19744/j.cnki.11-1235/f.2022.0076
[33]
Wang, H. (2022). Characteristics of Equity Incentive Contracts and High-Quality Development of Companies. Statistics and Decision, 38, 175-179. https://doi.org/10.13546/j.cnki.tjyjc.2022.05.034
[34]
Wang, R., & Zhang, H. (2023). Digital Transformation and Foreign Direct Investment of Enterprises: The Mediating Role of Innovation Capability and Transaction Costs. Finance and Trade Research, 34, 14-24. https://doi.org/10.19337/j.cnki.34-1093/f.2023.05.002
[35]
Wang, Y. (2020). The Great Transformation of a Century, High-Quality Development, and Building a New Development Pattern. Management World, 36, 1-13. https://doi.org/10.19744/j.cnki.11-1235/f.2020.0179
[36]
Wei, J., Ge, P., & Wang, J. (2017). Institutional Environment, Institutional Dependence, and Total Factor Productivity of Enterprises. Statistical Research, 34, 38-48. https://doi.org/10.19343/j.cnki.11-1302/c.2017.05.004
[37]
Wen, H., & Zhong, Q. (2022). Digital Infrastructure and Total Factor Productivity of Enterprises: Evidence from Listed Companies in China. Soft Science, 36, 64-71.
[38]
Wu, C., Zhang, K., Zhou, X. et al. (2022). Digital Transformation, Choice of Competitive Strategy, and High-Quality Development of Firms: From Evidence of Machine Learning and Text Analysis. Business Management Journal, 44, 5-22. https://doi.org/10.19616/j.cnki.bmj.2022.04.001
[39]
Wu, F., Hu, H., Lin, H. et al. (2021). Enterprise Digital Transformation and Capital Market Performance: Empirical Evidence from Stock Liquidity. Management World, 37, 130-144. https://doi.org/10.19744/j.cnki.11-1235/f.2021.0097
[40]
Yami, S., M’Chirgui, Z., Spano, C. et al. (2021). Reinventing Science and Technology Entrepreneurship Education: The Role of Human and Social Capitals. Technological Forecasting & Social Change, 164, Article 120044. https://doi.org/10.1016/j.techfore.2020.120044
[41]
Yang, R. (2015). Research on Total Factor Productivity of Manufacturing Enterprises in China. Economic Research, 50, 61-74. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ201502006.htm
[42]
Ye, Y., Li, X., & Liu, G. (2022). Digital Transformation and Upgrading of Enterprise Human Capital. Finance and Economic Research, 510, 74-92. http://www.jryj.org.cn/CN/Y2022/V510/I12/74
[43]
Yuan, C., Xiao, S. S., Geng, C. X. et al. (2021). Digital Transformation and Enterprise Division of Labor: Specialization or Vertical Integration. China Industrial Economics, No. 9, 137-155. https://doi.org/10.19581/j.cnki.ciejournal.2021.09.007
[44]
Yuan, Y. (2017). BPR Is Born for Digital Transformation. Enterprise Management, No. 10, 102-104. https://www.cnki.com.cn/Article/CJFDTotal-QIGL201710042.htm
[45]
Zeng, D. Z., Shi, L., & Luetkenhorst, W. (2021). China’s Green Transformation through Eco-Industrial Parks. World Development, 140, Article 105249. https://doi.org/10.1016/j.worlddev.2020.105249
[46]
Zhao, C., Wang, W., & Li, X. (2021). How Does Digital Transformation Affect Total Factor Productivity of Enterprises? Finance and Trade Economics, 42, 114-129. https://doi.org/10.19795/j.cnki.cn11-1166/f.20210705.001