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Does digital transformation increase the labor income share? From a perspective of resources reallocation

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  • Chen, Chuanglian
  • Wang, Shudan
  • Yao, Shujie
  • Lin, Yuting

Abstract

Digital technology has led to a new wave of industrial revolution, affecting resource reallocation, especially labor employment and income. While extant studies have primarily focused on the influence of digital transformation on firm performance, little attention has been paid to its impact on labor income. This study establishes a theoretical model to analyze the relationship between digital transformation and labor income, using a large panel dataset comprising China's listed firms in 2005–20 for empirical test. The theoretical framework integrates digital transformation as an expanded technology of labor and capital into a firm-level production function. The empirical results show that digital transformation has a significant substitution effect on labor, leading to a contraction in its income share. This effect is particularly pronounced in the western region and manufacturing sector. This study suggests that governments at all levels should pay attention to workers' welfare when firms implement digital transformation to improve productivity.

Suggested Citation

  • Chen, Chuanglian & Wang, Shudan & Yao, Shujie & Lin, Yuting, 2023. "Does digital transformation increase the labor income share? From a perspective of resources reallocation," Economic Modelling, Elsevier, vol. 128(C).
    • Handle: RePEc:eee:ecmode:v:128:y:2023:i:c:s0264999323002869
    DOI: 10.1016/j.econmod.2023.106474
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    1. Andrés O. Dávila & Manuel Fernández & Hernando Zuleta, 2021. "The Natural Resource Boom and The Uneven Fall of The Labor Share," Documentos CEDE 19427, Universidad de los Andes, Facultad de Economía, CEDE.
    2. Joseph Zeira, 1998. "Workers, Machines, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1091-1117.
    3. Peretto, Pietro F. & Seater, John J., 2013. "Factor-eliminating technical change," Journal of Monetary Economics, Elsevier, vol. 60(4), pages 459-473.
    4. Tania Babina & Alex X. He & Anastassia Fedyk & James Hodson, 2022. "Artificial Intelligence, Firm Growth, and Product Innovation," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
    5. Miguel A. León-Ledesma & Peter McAdam & Alpo Willman, 2010. "Identifying the Elasticity of Substitution with Biased Technical Change," American Economic Review, American Economic Association, vol. 100(4), pages 1330-1357, September.
    6. Emilie Daudey & Cecilia Garcia-Penalosa, 2007. "The personal and the factor distributions of income in a cross-section of countries," Journal of Development Studies, Taylor & Francis Journals, vol. 43(5), pages 812-829.
    7. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    8. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    10. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    11. Changling Sun & Ziang Lin & Marek Vochozka & Zuzana Vincúrová, 2022. "Digital transformation and corporate cash holdings in China’s A-share listed companies," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1081-1116, December.
    12. James Bessen, 2018. "AI and Jobs: the role of demand," NBER Working Papers 24235, National Bureau of Economic Research, Inc.
    13. van de Klundert, T.C.M.J. & David, P.A., 1965. "Biased Efficiency Growth and Capital-Labor Substitution in the U.S., 1899-1960Biased Efficiency Growth and Capital-Labor Substitution in the U.S., 1899-1960," Other publications TiSEM 049dd3c3-8689-4ac6-9e72-7, Tilburg University, School of Economics and Management.
    14. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    15. Li, Bing & Liu, Chang & Sun, Stephen Teng, 2021. "Do corporate income tax cuts decrease labor share? Regression discontinuity evidence from China," Journal of Development Economics, Elsevier, vol. 150(C).
    16. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    17. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    18. Hernando Zuleta, 2008. "Factor Saving Innovations and Factor Income Shares," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 836-851, October.
    19. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    20. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    21. Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
    22. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    23. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    24. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    25. Zhang, Xiaoyan & Li, Jinbao & Xiang, Dong & Worthington, Andrew C., 2023. "Digitalization, financial inclusion, and small and medium-sized enterprise financing: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    26. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    27. Pierre Mohnen & Michael Polder & George van Leeuwen, 2018. "ICT, R&D and Organizational Innovation: Exploring Complementarities in Investment and Production," NBER Working Papers 25044, National Bureau of Economic Research, Inc.
    28. Ruan, Qingsong & Wang, Zilin & Zhou, Yaping & Lv, Dayong, 2020. "A new investor sentiment indicator (ISI) based on artificial intelligence: A powerful return predictor in China," Economic Modelling, Elsevier, vol. 88(C), pages 47-58.
    29. Jonas Hjort & Jonas Poulsen, 2019. "The Arrival of Fast Internet and Employment in Africa," American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
    30. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    31. Santos, Anabela Marques & Barbero, Javier & Salotti, Simone & Conte, Andrea, 2023. "Job creation and destruction in the digital age: Assessing heterogeneous effects across European Union countries," Economic Modelling, Elsevier, vol. 126(C).
    32. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    33. J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
    34. Li Feng & Cassandra Hart, 2023. "Introducing the New Editorial Team," Education Finance and Policy, MIT Press, vol. 18(4), pages 565-567, Fall.
    35. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    More about this item

    Keywords

    Digital transformation; Labor income share; CES function; Artificial intelligence; China;
    All these keywords.

    JEL classification:

    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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