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Endogenous growth and human capital accumulation in a data economy

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  • Chang, Qing
  • Wu, Mengtao
  • Zhang, Longtian

Abstract

We build an endogenous growth model featuring a new mode of human capital accumulation in a data economy. Data are generated as the byproducts of economic activities and then used by consumers for human capital accumulation apart from education. Although we find similar growth patterns compared with those in the related literature, economic growth is further accelerated by the new use of data factor. Quantitative analyses suggest that although the accumulation of human capital is promoted by the increasing importance of data, this promotion is not unlimited since data may over-absorb resources and crowd out education. In the transition dynamics, we see that consumers suffer temporary welfare loss. However, as data become a key factor in human capital accumulation, welfare ultimately increases. Our paper provides a first view of the effect of the data factor in the process of human capital accumulation.

Suggested Citation

  • Chang, Qing & Wu, Mengtao & Zhang, Longtian, 2024. "Endogenous growth and human capital accumulation in a data economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 298-312.
    • Handle: RePEc:eee:streco:v:69:y:2024:i:c:p:298-312
    DOI: 10.1016/j.strueco.2023.12.015
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    1. Rodolfo E. Manuelli & Ananth Seshadri, 2014. "Human Capital and the Wealth of Nations," American Economic Review, American Economic Association, vol. 104(9), pages 2736-2762, September.
    2. Aaron Chalfin & Oren Danieli & Andrew Hillis & Zubin Jelveh & Michael Luca & Jens Ludwig & Sendhil Mullainathan, 2016. "Productivity and Selection of Human Capital with Machine Learning," American Economic Review, American Economic Association, vol. 106(5), pages 124-127, May.
    3. 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.
    4. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    5. Raj Chetty, 2006. "A New Method of Estimating Risk Aversion," American Economic Review, American Economic Association, vol. 96(5), pages 1821-1834, December.
    6. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    7. Lin William Cong & Danxia Xie & Longtian Zhang, 2021. "Knowledge Accumulation, Privacy, and Growth in a Data Economy," Management Science, INFORMS, vol. 67(10), pages 6480-6492, October.
    8. Shota Ichihashi, 2021. "Competing data intermediaries," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 515-537, September.
    9. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    10. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    11. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    12. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    13. Étienne Chantrel & Andre Grimaud & Frederic Tournemaine, 2012. "Pricing Knowledge and Funding Research of New Technology Sectors in a Growth Model," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 14(3), pages 493-520, June.
    14. 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.
    15. Jerbashian Vahagn, 2016. "Knowledge licensing in a model of R&D-driven endogenous growth," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(2), pages 555-579, June.
    16. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    17. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5.
    18. Peretto, Pietro F, 1996. "Sunk Costs, Market Structure, and Growth," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(4), pages 895-923, November.
    19. David N. DeJong & Beth F. Ingram, 2001. "The Cyclical Behavior of Skill Acquisition," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 536-561, July.
    20. 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.
    21. Ufuk Akcigit & Murat Alp Celik & Jeremy Greenwood, 2016. "Buy, Keep, or Sell: Economic Growth and the Market for Ideas," Econometrica, Econometric Society, vol. 84, pages 943-984, May.
    22. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    23. Lin William Cong & Beibei Li & Qingquan Tony Zhang, 2021. "Alternative Data in FinTech and Business Intelligence," Springer Books, in: Maurizio Pompella & Roman Matousek (ed.), The Palgrave Handbook of FinTech and Blockchain, edition 1, chapter 0, pages 217-242, Springer.
    24. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    25. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    26. Robert E. Lucas Jr., 2015. "Human Capital and Growth," American Economic Review, American Economic Association, vol. 105(5), pages 85-88, May.
    27. Cong, Lin William & Wei, Wenshi & Xie, Danxia & Zhang, Longtian, 2022. "Endogenous growth under multiple uses of data," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    28. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    29. Emily Oster & Ira Shoulson & E. Ray Dorsey, 2013. "Limited Life Expectancy, Human Capital and Health Investments," American Economic Review, American Economic Association, vol. 103(5), pages 1977-2002, August.
    30. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    31. Zhuming Bi & Yan Jin & Paul Maropoulos & Wen-Jun Zhang & Lihui Wang, 2023. "Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)," International Journal of Production Research, Taylor & Francis Journals, vol. 61(12), pages 4004-4021, June.
    32. Qing Chang & Lin William Cong & Liyong Wang & Longtian Zhang, 2023. "Production, Trade, and Cross-Border Data Flows," NBER Working Papers 31416, National Bureau of Economic Research, Inc.
    33. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
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    2. Zhenhua Zhang & Chao Hua & Marshall S. Jiang & Jianjun Miao, 2024. "The spatial spillover effect of financial growth on high-quality development: Evidence from Yellow River Basin in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.

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    More about this item

    Keywords

    Data economy; Data factor; Human capital accumulation; Endogenous growth model;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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