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The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis

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  • Ayhan, Fatih
  • Elal, Onuray

Abstract

Technological changes are at the center of numerous inquiries about their various effects on different economies. Subsequent transformations in production methods and labor markets stand out broadly among these researches. Technological changes reduce unit costs, enable productions to be conducted with less effort, and increase productivity in productions, whereas the same changes cause the substitution of laborers with machines, driving them out of their employment, and therefore, increasing the number of people unemployed. Given that a consensus about the effects of technology on labor markets hasn't been reached in the existing economic literature, it becomes a requirement to conduct further examinations regarding the interaction between technology and labor markets. To further these examinations, the effects of technological changes on labor markets are set as the aim and therefore, tested empirically to evaluate this empirical objective in a one-way fixed effects model for 30 OECD countries with an annual data set between 2009 and 2018. Based on the findings of the one-way fixed effects model estimated by the Driscoll-Kraay estimator, technological changes induced by patent applications are labor-destructive, whereas technological changes induced by research and development expenditures are positive, yet insignificant on employment. Additionally, gross domestic product and trade openness turn out labor-friendly. The findings set a sound motivator for policymakers about why they should provide more opportunities for workers to increase their flexibility to adapt to technological change and update their skill sets for new forms of production, which also imposes the fact that education and vocational training programs should be expanded and developed to be compatible with new technologies.

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  • Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  • Handle: RePEc:eee:tefoso:v:190:y:2023:i:c:s0040162523001245
    DOI: 10.1016/j.techfore.2023.122439
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    as
    1. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "May AI Revolution Be Labour-Friendly? Some Micro Evidence from the Supply Side," IZA Discussion Papers 14309, Institute of Labor Economics (IZA).
    2. Rajeev K. Goel & Michael A. Nelson, 2022. "Employment effects of R&D and process innovation: evidence from small and medium-sized firms in emerging markets," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 97-123, March.
    3. Marco Vivarelli, 2014. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of Economic Literature," Journal of Economic Issues, Taylor & Francis Journals, vol. 48(1), pages 123-154.
    4. Matteo Lucchese & Mario Pianta, 2012. "Innovation and Employment in Economic Cycles," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 54(2), pages 341-359, June.
    5. Lachenmaier, Stefan & Rottmann, Horst, 2011. "Effects of innovation on employment: A dynamic panel analysis," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 210-220, March.
    6. Nancy Gallini & Suzanne Scotchmer, 2002. "Intellectual Property: When Is It the Best Incentive System?," NBER Chapters, in: Innovation Policy and the Economy, Volume 2, pages 51-78, National Bureau of Economic Research, Inc.
    7. Cresti, Lorenzo & Dosi, Giovanni & Fagiolo, Giorgio, 2023. "Technological interdependencies and employment changes in European industries," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 41-57.
    8. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.
    9. A. Bhargava & L. Franzini & W. Narendranathan, 2006. "Serial Correlation and the Fixed Effects Model," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 4, pages 61-77, World Scientific Publishing Co. Pte. Ltd..
    10. Priscilla Twumasi Baffour & F. Ebo Turkson & Agyapomaa Gyeke-Dako & Abena D. Oduro & Emmanuel Nii Abbey, 2020. "Innovation and employment in manufacturing and service firms in Ghana," Small Business Economics, Springer, vol. 54(4), pages 1153-1164, April.
    11. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    12. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    13. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    14. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
    15. Mariacristina Piva & Marco Vivarelli, 2018. "Technological change and employment: is Europe ready for the challenge?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(1), pages 13-32, March.
    16. Encaoua, David & Guellec, Dominique & Martinez, Catalina, 2006. "Patent systems for encouraging innovation: Lessons from economic analysis," Research Policy, Elsevier, vol. 35(9), pages 1423-1440, November.
    17. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    18. 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.
    19. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    20. Ricardo, David, 1821. "On the Principles of Political Economy and Taxation," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, edition 3, number ricardo1821.
    21. Valeria Cirillo, 2017. "Technology, employment and skills," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(8), pages 734-754, November.
    22. Jan Fagerberg, 2003. "Schumpeter and the revival of evolutionary economics: an appraisal of the literature," Journal of Evolutionary Economics, Springer, vol. 13(2), pages 125-159, April.
    23. repec:idb:brikps:publication-detail,7101.html?id=26726 is not listed on IDEAS
    24. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    25. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    26. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    27. Samuel Ajayi-Obe, 2020. "Key Determinants of Job Creation: A Comparative analysis between OECD Countries and Emerging Economies," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 619-647, December.
    28. Sirine Mnif & Chiraz Feki & Ines Abdelkafi, 2018. "Effects of Technological Shock on Employment: Application of Structural Approach VECM," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1138-1153, December.
    29. Richard R. Nelson & Sidney G. Winter, 2002. "Evolutionary Theorizing in Economics," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 23-46, Spring.
    30. Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    31. Baldwin, John R., 1997. "The Importance of Research and Development for Innovation in Small and Large Canadian Manufacturing Firms," Analytical Studies Branch Research Paper Series 1997107e, Statistics Canada, Analytical Studies Branch.
    32. Bogliacino, Francesco & Piva, Mariacristina & Vivarelli, Marco, 2012. "R&D and employment: An application of the LSDVC estimator using European microdata," Economics Letters, Elsevier, vol. 116(1), pages 56-59.
    33. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    34. Zera Zuryana Idris & Normaz Wana Ismail & Saifuzzaman Ibrahim & Hanny Zurina Hamzah, 2021. "The impact of high-technology trade on employment," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 30(4), pages 512-529, May.
    35. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    36. Matthias Buerger & Tom Broekel & Alex Coad, 2012. "Regional Dynamics of Innovation: Investigating the Co-evolution of Patents, Research and Development (R&D), and Employment," Regional Studies, Taylor & Francis Journals, vol. 46(5), pages 565-582, August.
    37. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
    38. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869, April.
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    More about this item

    Keywords

    Technology; Employment; Panel analysis; Driscoll Kraay; Labor markets;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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