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The impact of technological innovation on unemployment in Nigeria: an Autoregressive distributed lag and Frequency Domain Causality approach

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  • Oluwatoyin Abidemi Somoye

    (Near East University)

Abstract

Although technology is known to enhance labor and capital productivity, there are also concerns that technological progress can lead to unemployment. Hence, using methods like Autoregressive Distributed Lag (ARDL), Fully Modified Ordinary Least Square (FMOLS), Dynamic Ordinary Least Square (DOLS), Canonical Cointegration Regression (CCR), and Frequency Domain Causality, this study explores the effect of technological innovation on unemployment in Nigeria from 1991 to 2021. The ARDL results showed that a rise in technological innovation increases unemployment. More specifically, a 1% increase in technological innovation increases unemployment by 0.15% and 0.02% in the long and short–run, respectively. In addition, the FMOLS, DOLS, and CCR outcomes confirmed the ARDL findings. Furthermore, the Frequency Domain Causality result showed that technological innovation granger causes unemployment in the short, medium, and long–term. Based on these results, policymakers in Nigeria should create favorable educational and training policies. These policies can foster human capital development and help guarantee that workers have the skills to prosper in the new economy.

Suggested Citation

  • Oluwatoyin Abidemi Somoye, 2024. "The impact of technological innovation on unemployment in Nigeria: an Autoregressive distributed lag and Frequency Domain Causality approach," SN Business & Economics, Springer, vol. 4(5), pages 1-16, May.
    • Handle: RePEc:spr:snbeco:v:4:y:2024:i:5:d:10.1007_s43546-024-00657-y
    DOI: 10.1007/s43546-024-00657-y
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    1. Haug, Alfred A. & King, Ian, 2014. "In the long run, US unemployment follows inflation like a faithful dog," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 42-52.
    2. Mariacristina Piva & Enrico Santarelli & Marco Vivarelli, 2006. "Technological and organizational changes as determinants of the skill bias: evidence from the Italian machinery industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 63-73.
    3. Ghimire, Ramesh & Skinner, Jim & Carnathan, Mike, 2020. "Who perceived automation as a threat to their jobs in metro Atlanta: Results from the 2019 Metro Atlanta Speaks survey," Technology in Society, Elsevier, vol. 63(C).
    4. Horst Feldmann, 2013. "Technological unemployment in industrial countries," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1099-1126, November.
    5. Davis, Donald R., 1998. "Technology, unemployment, and relative wages in a global economy," European Economic Review, Elsevier, vol. 42(9), pages 1613-1633, November.
    6. Yuhong Du & Xiahai Wei, 2022. "Technological change and unemployment: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 29(9), pages 851-854, May.
    7. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    8. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    9. Vivarelli, Marco, 2012. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of the Literature," IZA Discussion Papers 6291, Institute of Labor Economics (IZA).
    10. Aleksander Berentsen & Guido Menzio & Randall Wright, 2011. "Inflation and Unemployment in the Long Run," American Economic Review, American Economic Association, vol. 101(1), pages 371-398, February.
    11. Dosi, G. & Piva, M. & Virgillito, M.E. & Vivarelli, M., 2021. "Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction," Research Policy, Elsevier, vol. 50(4).
    12. Durmuş Çagri Yildirim & Seda Yildirim & Seyfettin Erdogan & Tugba Kantarci, 2022. "Innovation—Unemployment Nexus: The case of EU countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1208-1219, January.
    13. Kim, Dukpa & Perron, Pierre, 2009. "Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses," Journal of Econometrics, Elsevier, vol. 148(1), pages 1-13, January.
    14. Anthony Orji & Onyinye .I. Anthony-Orji & Joan C. Okafor, 2015. "Inflation And Unemployment Nexus In Nigeria: Another Test of the Phillips Curve," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(5), pages 766-778, May.
    15. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    16. Hala Hjazeen & Mehdi Seraj & Huseyin Ozdeser, 2021. "The nexus between the economic growth and unemployment in Jordan," Future Business Journal, Springer, vol. 7(1), pages 1-8, December.
    17. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
    18. Ugyen Tenzin, 2019. "The Nexus Among Economic Growth, Inflation and Unemployment in Bhutan," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(1), pages 94-105, March.
    19. Antonio Ribba, 2003. "Short-run and long-run interaction between inflation and unemployment in the USA," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 373-376.
    20. Mihaela DIACONU, 2011. "Technological Innovation: Concept, Process, Typology and Implications in the Economy," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(10(563)), pages 127-144, October.
    21. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.
    22. Anthony Orji & Onyinye I Anthony-Orji & Joan C Okafor, 2015. "Inflation And Unemployment Nexus In Nigeria: Another Test of the Phillips Curve," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(5), pages 766-778.
    23. Chibuikem Dibor-Alfred & Oluwatoyin Abidemi Somoye & Huseyin Ozdeser, 2023. "Stock market performance and economic growth: empirical evidence from Nigeria employing the ARDL approach," SN Business & Economics, Springer, vol. 3(12), pages 1-15, December.
    24. Novakova, Lucia, 2020. "The impact of technology development on the future of the labour market in the Slovak Republic," Technology in Society, Elsevier, vol. 62(C).
    25. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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