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How Does Digital Transformation Affect Total Factor Productivity: Firm-Level Evidence from China

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  • Shiguang Li

    (School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Yixiang Tian

    (School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

Abstract

After the 2008 financial crisis, companies in China begun paying more attention to sustainable development. This article attempts to examine whether and how digital transformation affects total factor productivity (TFP) at the firm-level. Using 2913 listed companies in China from 2012 to 2018, this study finds that digital transformation is positively associated with corporate TFP in China. Our explanatory variable of firm-level digitalization index is constructed via text analysis methods. After a series of robustness checks and different attempts that mitigate endogeneity concerns, our findings remain valid. However, traditional information and communication technologies (ICT) cannot improve corporate TFP. Further analyses of three plausible channels indicate that digital technologies improve TFP primarily through cost reduction and human substitution rather than supervision advantage. The results indicate that firms achieve actual benefits from the digital transformation, and how digital transformation improve the sustainable development. This study could serve as a policy inspiration for other developing countries.

Suggested Citation

  • Shiguang Li & Yixiang Tian, 2023. "How Does Digital Transformation Affect Total Factor Productivity: Firm-Level Evidence from China," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9575-:d:1171039
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    as
    1. Christina Zhu, 2019. "Big Data as a Governance Mechanism," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 2021-2061.
    2. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    3. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    4. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
    5. Simunic, Da, 1980. "The Pricing Of Audit Services - Theory And Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 161-190.
    6. Jason Furman & Robert Seamans, 2019. "AI and the Economy," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 161-191.
    7. Ding, Na & Gu, Leilei & Peng, Yuchao, 2022. "Fintech, financial constraints and innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 73(C).
    8. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    9. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    10. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    11. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    12. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing," American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
    13. Ann P. Bartel & Nachum Sicherman, 1999. "Technological Change and Wages: An Interindustry Analysis," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 285-325, April.
    14. Choi, Changkyu & Hoon Yi, Myung, 2009. "The effect of the Internet on economic growth: Evidence from cross-country panel data," Economics Letters, Elsevier, vol. 105(1), pages 39-41, October.
    15. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    16. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    17. Bushman, Robert & Chen, Qi & Engel, Ellen & Smith, Abbie, 2004. "Financial accounting information, organizational complexity and corporate governance systems," Journal of Accounting and Economics, Elsevier, vol. 37(2), pages 167-201, June.
    18. Andrew Kusiak, 2017. "Smart manufacturing must embrace big data," Nature, Nature, vol. 544(7648), pages 23-25, April.
    19. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    20. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    21. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    22. Yi Che & Lei Zhang, 2018. "Human Capital, Technology Adoption and Firm Performance: Impacts of China's Higher Education Expansion in the Late 1990s," Economic Journal, Royal Economic Society, vol. 128(614), pages 2282-2320, September.
    23. Patrick Bajari & Denis Nekipelov & Stephen P. Ryan & Miaoyu Yang, 2015. "Machine Learning Methods for Demand Estimation," American Economic Review, American Economic Association, vol. 105(5), pages 481-485, May.
    24. Mark A Chen & Qinxi Wu & Baozhong Yang, 2019. "How Valuable Is FinTech Innovation?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 2062-2106.
    25. Bushman, Robert M. & Smith, Abbie J., 2001. "Financial accounting information and corporate governance," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 237-333, December.
    26. Alon Brav & Wei Jiang & Hyunseob Kim, 2015. "Editor's Choice The Real Effects of Hedge Fund Activism: Productivity, Asset Allocation, and Labor Outcomes," The Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2723-2769.
    27. Peter J. Lane & Jane E. Salk & Marjorie A. Lyles, 2001. "Absorptive capacity, learning, and performance in international joint ventures," Strategic Management Journal, Wiley Blackwell, vol. 22(12), pages 1139-1161, December.
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    3. Pingkuo Liu & Jiahao Wu, 2023. "Game Analysis on Energy Enterprises’ Digital Transformation—Strategic Simulation for Guiding Role, Leading Role and Following Role," Sustainability, MDPI, vol. 15(13), pages 1-33, June.

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