IDEAS home Printed from https://ideas.repec.org/a/eee/jmacro/v75y2023ics0164070423000034.html
   My bibliography  Save this article

Data deepening and nonbalanced economic growth

Author

Listed:
  • Freeman, Richard B.
  • Yang, Buyuan
  • Zhang, Baitao

Abstract

As a newly emerging factor, data can promote economic growth by driving technological progress, and nonbalanced growth between digital industries and nondigital industries has been notable in recent years. This paper provides a novel growth model with two sectors that differ in the degree of data deepening and the factor structure of the production function. In the model, data in one sector is the by-product of economic activities not only in its sector, but also in the other sector. More importantly, data utilization within and across sectors can spur new ideas and promote technological innovation. The model indicates that increases in the stock of data in the two sectors have opposite effects on the allocation of skilled labor between the two sectors. The skill premium (the wage of skilled labor relative to the wage of unskilled labor) decreases with an increase in the fraction of skilled labor employed in the data-extensive sector. With credible parameter values, model calibration shows that faster growth of output occurs in the more data-intensive sector and the high skill premium persists in the long run.

Suggested Citation

  • Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:jmacro:v:75:y:2023:i:c:s0164070423000034
    DOI: 10.1016/j.jmacro.2023.103503
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0164070423000034
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jmacro.2023.103503?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martin Beraja & David Y Yang & Noam Yuchtman, 2023. "Data-intensive Innovation and the State: Evidence from AI Firms in China," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1701-1723.
    2. repec:pri:cpanda:wp15%20-%20dimaggio%2bhargittai is not listed on IDEAS
    3. Menzie D. Chinn & Robert W. Fairlie, 2007. "The determinants of the global digital divide: a cross-country analysis of computer and internet penetration," Oxford Economic Papers, Oxford University Press, vol. 59(1), pages 16-44, January.
    4. 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).
    5. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    6. Ufuk Akcigit & Douglas Hanley & Nicolas Serrano-Velarde, 2021. "Back to Basics: Basic Research Spillovers, Innovation Policy, and Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 1-43.
    7. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 869-882.
    8. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    9. Alvarez-Cuadrado, Francisco & Long, Ngo & Poschke, Markus, 2017. "Capital-labor substitution, structural change and growth," Theoretical Economics, Econometric Society, vol. 12(3), September.
    10. Maryam Farboodi & Roxana Mihet & Thomas Philippon & Laura Veldkamp, 2019. "Big Data and Firm Dynamics," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 38-42, May.
    11. Oded Galor & Omer Moav, 2000. "Ability-Biased Technological Transition, Wage Inequality, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 469-497.
    12. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    13. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    14. Gary D. Hansen & Edward C. Prescott, 2002. "Malthus to Solow," American Economic Review, American Economic Association, vol. 92(4), pages 1205-1217, September.
    15. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    16. Paul DiMaggio & Eszter Hargittai, 2001. "From the 'Digital Divide' to 'Digital Inequality': Studying Internet Use as Penetration Increases," Working Papers 47, Princeton University, School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    17. Dan Devroye & Richard B. Freeman, 2001. "Does Inequality in Skills Explain Inequality in Earnings Across Advanced Countries?," NBER Working Papers 8140, National Bureau of Economic Research, Inc.
    18. 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.
    19. Freeman, Richard, 1995. "The Limits of Wage Flexibility to Curing Unemployment," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 11(1), pages 63-72, Spring.
    20. Daron Acemoglu & Pascual Restrepo, 2020. "Unpacking Skill Bias: Automation and New Tasks," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 356-361, May.
    21. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    22. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    23. 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.
    24. 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.
    25. Ariel Burstein & Jonathan Vogel, 2017. "International Trade, Technology, and the Skill Premium," Journal of Political Economy, University of Chicago Press, vol. 125(5), pages 1356-1412.
    26. Fernando E. Alvarez & Francisco J. Buera & Robert E. Lucas, Jr., 2013. "Idea Flows, Economic Growth, and Trade," NBER Working Papers 19667, National Bureau of Economic Research, Inc.
    27. Baumol, William J & Blackman, Sue Anne Batey & Wolff, Edward N, 1985. "Unbalanced Growth Revisited: Asymptotic Stagnancy and New Evidence," American Economic Review, American Economic Association, vol. 75(4), pages 806-817, September.
    28. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    29. Stokey, Nancy L, 1996. "Free Trade, Factor Returns, and Factor Accumulation," Journal of Economic Growth, Springer, vol. 1(4), pages 421-447, December.
    30. Paul DiMaggio & Eszter Hargittai, 2001. "From the 'Digital Divide' to 'Digital Inequality': Studying Internet Use as Penetration Increases," Working Papers 47, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    31. Roberto Samaniego & Juliana Sun, 2016. "Productivity Growth and Structural Transformation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 266-285, July.
    32. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amos Golan & Spiro Stefanou, 2024. "Potential Value of Data and Free Access to Data," Working Papers 2024-008, Human Capital and Economic Opportunity Working Group.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
    2. Adnan Velic, 2023. "Wages and the Role of Intangibles in Finance," Trinity Economics Papers tep0323, Trinity College Dublin, Department of Economics.
    3. Alonso-Carrera, Jaime & Raurich, Xavier, 2018. "Labor mobility, structural change and economic growth," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 292-310.
    4. Kjetil Storesletten & Bo Zhao & Fabrizio Zilibotti, 2019. "Business Cycle during Structural Change: Arthur Lewis' Theory from a Neoclassical Perspective," Cowles Foundation Discussion Papers 2191, Cowles Foundation for Research in Economics, Yale University.
    5. Mollick, André Varella, 2012. "Income inequality in the U.S.: The Kuznets hypothesis revisited," Economic Systems, Elsevier, vol. 36(1), pages 127-144.
    6. Jonathan J. ADAMS, 2022. "Urbanization, Long-run Growth, and the Demographic Transition," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 88(1), pages 31-37, March.
    7. Chen, Chaoran, 2020. "Capital-skill complementarity, sectoral labor productivity, and structural transformation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    8. Matthess, Marcel & Kunkel, Stefanie, 2020. "Structural change and digitalization in developing countries: Conceptually linking the two transformations," Technology in Society, Elsevier, vol. 63(C).
    9. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    10. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.
    11. Francisco J. Buera & Joseph P. Kaboski & Martí Mestieri & Daniel G. O'Connor, 2020. "The Stable Transformation Path," NBER Working Papers 27731, National Bureau of Economic Research, Inc.
    12. Bulman, George & Fairlie, Robert W., 2015. "Technology and Education: Computers, Software, and the Internet," IZA Discussion Papers 9432, Institute of Labor Economics (IZA).
    13. Alvarez-Cuadrado, Francisco & Long, Ngo & Poschke, Markus, 2017. "Capital-labor substitution, structural change and growth," Theoretical Economics, Econometric Society, vol. 12(3), September.
    14. Gangopadhyay, Kausik & Mondal, Debasis, 2021. "Productivity, relative sectoral prices, and total factor productivity: Theory and evidence," Economic Modelling, Elsevier, vol. 100(C).
    15. Margarida Duarte & Diego Restuccia, 2020. "Relative Prices and Sectoral Productivity," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1400-1443.
    16. Joseph K. Kaboski, 2009. "Education, Sectoral Composition and Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 168-182, January.
    17. Alvarez-Cuadrado, Francisco & Long, Ngo Van & Poschke, Markus, 2018. "Capital-labor substitution, structural change and the labor income share," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 206-231.
    18. Raveh, Ohad & Reshef, Ariell, 2016. "Capital imports composition, complementarities, and the skill premium in developing countries," Journal of Development Economics, Elsevier, vol. 118(C), pages 183-206.
    19. Fabian Eckert & Michael Peters, 2018. "Spatial Structural Change," 2018 Meeting Papers 98, Society for Economic Dynamics.
    20. Sáenz, Luis Felipe, 2022. "Time-varying capital intensities and the hump-shaped evolution of economic activity in manufacturing," Journal of Macroeconomics, Elsevier, vol. 73(C).

    More about this item

    Keywords

    Data deepening; Nonbalanced growth; Skill premium;
    All these keywords.

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jmacro:v:75:y:2023:i:c:s0164070423000034. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622617 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.