IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v208y2023icp345-358.html
   My bibliography  Save this article

Automation and population growth: Theory and cross-country evidence

Author

Listed:
  • Abeliansky, Ana Lucia
  • Prettner, Klaus

Abstract

We analyse the relationship between declining population growth and automation. Theoretical considerations imply that countries with lower population growth introduce automation technologies faster. We test the theoretical implication on panel data for 60 countries over the time span 1993–2013. Regression estimates support the theoretical implication, suggesting that a 1% increase in population growth is associated with an approximately 2% reduction in the growth rate of robot density. Our results are robust to the inclusion of standard control variables, different estimation methods, dynamic specifications, and changes with respect to the measurement of the stock of robots.

Suggested Citation

  • Abeliansky, Ana Lucia & Prettner, Klaus, 2023. "Automation and population growth: Theory and cross-country evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 345-358.
    • Handle: RePEc:eee:jeborg:v:208:y:2023:i:c:p:345-358
    DOI: 10.1016/j.jebo.2023.02.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268123000409
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jebo.2023.02.006?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. David E. Bloom & David Canning & Günther Fink, 2010. "Implications of population ageing for economic growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 583-612, Winter.
    2. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Explaining the Labor Share: Automation Vs Labor Market Institutions," Labour Economics, Elsevier, vol. 75(C).
    3. Holger Strulik & Klaus Prettner & Alexia Prskawetz, 2013. "The past and future of knowledge-based growth," Journal of Economic Growth, Springer, vol. 18(4), pages 411-437, December.
    4. Gehringer, Agnieszka & Prettner, Klaus, 2019. "Longevity And Technological Change," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1471-1503, June.
    5. David E. Bloom & Dara Lee Luca, 2016. "The Global Demography of Aging: Facts, Explanations, Future," PGDA Working Papers 13016, Program on the Global Demography of Aging.
    6. Avner Ahituv, 2001. "Be fruitful or multiply: On the interplay between fertility and economic development," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(1), pages 51-71.
    7. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    8. 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.
    9. Quamrul H. Ashraf & David N. Weil & Joshua Wilde, 2013. "The Effect of Fertility Reduction on Economic Growth," Population and Development Review, The Population Council, Inc., vol. 39(1), pages 97-130, March.
    10. Grossmann, Volker & Steger, Thomas & Trimborn, Timo, 2013. "Dynamically optimal R&D subsidization," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 516-534.
    11. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    12. d’Albis, Hippolyte & Boubtane, Ekrame & Coulibaly, Dramane, 2021. "Demographic changes and the labor income share," European Economic Review, Elsevier, vol. 131(C).
    13. Quamrul H. Ashraf & David N. Weil & Joshua Wilde, 2011. "The Effect of Interventions to Reduce Fertility on Economic Growth," NBER Working Papers 17377, National Bureau of Economic Research, Inc.
    14. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    15. Joe Whittaker & Chris Whitehead & Mark Somers, 2005. "The neglog transformation and quantile regression for the analysis of a large credit scoring database," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(5), pages 863-878, November.
    16. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    17. Matthias Busse & Christian Spielmann, 2006. "Gender Inequality and Trade," Review of International Economics, Wiley Blackwell, vol. 14(3), pages 362-379, August.
    18. Jakob B Madsen & Antonio Minniti & Francesco Venturini, 2021. "Wealth Inequality in the Long Run: A Schumpeterian Growth Perspective [The race between man and machine: implications of technology for growth, factor shares, and employment]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 476-497.
    19. Prettner, Klaus, 2019. "A Note On The Implications Of Automation For Economic Growth And The Labor Share," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1294-1301, April.
    20. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    21. David Bloom & David Canning & Günther Fink & Jocelyn Finlay, 2009. "Fertility, female labor force participation, and the demographic dividend," Journal of Economic Growth, Springer, vol. 14(2), pages 79-101, June.
    22. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    23. Michael Elsby & Bart Hobijn & Ayseful Sahin, 2013. "The Decline of the U.S. Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(2 (Fall)), pages 1-63.
    24. Gruber, Jonathan & Wise, David, 1998. "Social Security and Retirement: An International Comparison," American Economic Review, American Economic Association, vol. 88(2), pages 158-163, May.
    25. Terry Gregory & Anna Salomons & Ulrich Zierahn, 2022. "Racing With or Against the Machine? Evidence on the Role of Trade in Europe," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 869-906.
    26. 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.
    27. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    28. Abeliansky, Ana & Algur, Eda & Bloom, David E. & Prettner, Klaus, 2020. "The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation," IZA Discussion Papers 12962, Institute of Labor Economics (IZA).
    29. 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.
    30. Dierk Herzer & Holger Strulik & Sebastian Vollmer, 2012. "The long-run determinants of fertility: one century of demographic change 1900–1999," Journal of Economic Growth, Springer, vol. 17(4), pages 357-385, December.
    31. Bloom, David E. & Canning, David & Mansfield, Richard K. & Moore, Michael, 2007. "Demographic change, social security systems, and savings," Journal of Monetary Economics, Elsevier, vol. 54(1), pages 92-114, January.
    32. 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.
    33. Ben S. Bernanke & Refet S. Gürkaynak, 2002. "Is Growth Exogenous? Taking Mankiw, Romer, and Weil Seriously," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 11-72, National Bureau of Economic Research, Inc.
    34. Carol A. Corrado & Charles R. Hulten, 2010. "How Do You Measure a "Technological Revolution"?," American Economic Review, American Economic Association, vol. 100(2), pages 99-104, May.
    35. Borghans, L. & ter Weel, B.J., 2002. "Do older workers have more trouble using a computer than younger workers?," ROA Research Memorandum 1E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    36. Aksoy, Cevat Giray & Özcan, Berkay & Philipp, Julia, 2021. "Robots and the gender pay gap in Europe," European Economic Review, Elsevier, vol. 134(C).
    37. Allen Kelley & Robert Schmidt, 1995. "Aggregate population and economic growth correlations: The role of the components of demographic change," Demography, Springer;Population Association of America (PAA), vol. 32(4), pages 543-555, November.
    38. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    39. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    40. 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.
    41. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    42. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    43. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    44. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    45. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    46. Jeffrey, Karen, 2021. "Automation and the future of work: How rhetoric shapes the response in policy preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 417-433.
    47. 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.
    48. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    49. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    50. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio & Massimiliano Iommi, 2013. "Innovation and intangible investment in Europe, Japan, and the United States," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 29(2), pages 261-286, SUMMER.
    51. Mankiw, N. Gregory & Weil, David N., 1989. "The baby boom, the baby bust, and the housing market," Regional Science and Urban Economics, Elsevier, vol. 19(2), pages 235-258, May.
    52. Haskel, J & Corrado, C & Jona-Lasinio, C & Iommi, M, 2013. "Innovation and intangible investment in Europe, Japan and the US," Working Papers 11139, Imperial College, London, Imperial College Business School.
    53. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    54. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    55. Antony, Jürgen & Klarl, Torben, 2020. "The implications of automation for economic growth when investment decisions are irreversible," Economics Letters, Elsevier, vol. 186(C).
    56. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    57. Ronald Lee & Andrew Mason, 2010. "Fertility, Human Capital, and Economic Growth over the Demographic Transition [Fécondité, capital humain et croissance économique au cours de la transition démographique]," European Journal of Population, Springer;European Association for Population Studies, vol. 26(2), pages 159-182, May.
    58. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    59. Innocenti, Stefania & Golin, Marta, 2022. "Human capital investment and perceived automation risks: Evidence from 16 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 27-41.
    60. Ge, Suqin & Zhou, Yu, 2020. "Robots, computers, and the gender wage gap," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 194-222.
    61. Kelley, Allen C. & Schmidt, Robert M., 1995. "Aggregate Population and Economic Growth Correlations: The Role of the Components of Demographic Change," Working Papers 95-37, Duke University, Department of Economics.
    62. Chen, Chinchih & Frey, Carl Benedikt & Presidente, Giorgio, 2022. "Automation or globalization? The impacts of robots and Chinese imports on jobs in the United Kingdom," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 528-542.
    63. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    64. Canton, Erik J. F. & de Groot, Henri L. F. & Nahuis, Richard, 2002. "Vested interests, population ageing and technology adoption," European Journal of Political Economy, Elsevier, vol. 18(4), pages 631-652, November.
    65. Abeliansky, Ana Lucia & Martínez-Zarzoso, Inmaculada & Prettner, Klaus, 2020. "3D printing, international trade, and FDI," Economic Modelling, Elsevier, vol. 85(C), pages 288-306.
    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. Abeliansky, Ana Lucia & Prettner, Klaus & Stöllinger, Roman, 2023. "Infection Risk at Work, Automatability, and Employment," Department of Economics Working Paper Series 352, WU Vienna University of Economics and Business.
    2. Gomes Orlando, 2024. "Economic Growth in the Age of Ubiquitous Threats: How Global Risks are Reshaping Growth Theory," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-15, January.
    3. Eder, Andreas & Koller, Wolfgang & Mahlberg, Bernhard, 2024. "Industrial robots and employment change in manufacturing: A combination of index and production-theoretical decomposition analysis," MPRA Paper 121128, University Library of Munich, Germany.
    4. Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    5. David E. Bloom & Michael Kuhn & Klaus Prettner, 2024. "Fertility in High-Income Countries: Trends, Patterns, Determinants, and Consequences," Annual Review of Economics, Annual Reviews, vol. 16(1), pages 159-184, August.

    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. Ana Lucia Abeliansky & Klaus Prettner, 2021. "Population growth and automation density: theory and cross-country evidence," Department of Economics Working Papers wuwp315, Vienna University of Economics and Business, Department of Economics.
    2. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
    3. Gehringer, Agnieszka & Prettner, Klaus, 2019. "Longevity And Technological Change," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1471-1503, June.
    4. Prettner, Klaus & Bloom, David E. & Strulik, Holger, 2013. "Declining fertility and economic well-being: Do education and health ride to the rescue?," Labour Economics, Elsevier, vol. 22(C), pages 70-79.
    5. Prettner, Klaus, 2023. "Stagnant wages in the face of rising labor productivity: The potential role of industrial robots," Finance Research Letters, Elsevier, vol. 58(PD).
    6. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
    7. Michael Kuhn & Klaus Prettner, 2023. "Rising Longevity, Increasing the Retirement Age, and the Consequences for Knowledge‐based Long‐run Growth," Economica, London School of Economics and Political Science, vol. 90(357), pages 39-64, January.
    8. David E. Bloom & Klaus Prettner & Jamel Saadaoui & Mario Veruete, 2023. "Artificial intelligence and the skill premium," Department of Economics Working Papers wuwp353, Vienna University of Economics and Business, Department of Economics.
    9. Prettner, Klaus, 2016. "The implications of automation for economic growth and the labor share of income," ECON WPS - Working Papers in Economic Theory and Policy 04/2016, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    10. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
    11. Arthur Jacobs & Freddy Heylen, 2021. "Demographic change, secular stagnation and inequality: automation as a blessing?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1030, Ghent University, Faculty of Economics and Business Administration.
    12. 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.
    13. David E. Bloom & Michael Kuhn & Klaus Prettner, 2024. "Fertility in High-Income Countries: Trends, Patterns, Determinants, and Consequences," Annual Review of Economics, Annual Reviews, vol. 16(1), pages 159-184, August.
    14. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    15. David E. Bloom & Alex Khoury & Vadim Kufenko & Klaus Prettner, 2021. "Spurring Economic Growth through Human Development: Research Results and Guidance for Policymakers," Population and Development Review, The Population Council, Inc., vol. 47(2), pages 377-409, June.
    16. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    17. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    18. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
    19. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    20. David E. BLOOM & Michael KUHN & Klaus PRETTNER, 2017. "Africa’s Prospects for Enjoying a Demographic Dividend," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 83(1), pages 63-76, March.

    More about this item

    Keywords

    Automation; Industrial robots; Demographic change; Declining fertility;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:jeborg:v:208:y:2023:i:c:p:345-358. 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/jebo .

    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.