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The Nonlinear Relationship Between Technological Development and Income Inequality: Evidence from Dynamic Panel Model with Threshold Effect

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  • Maksim, Kostiulin

    (Yonsei University, Republic of Korea)

Abstract

This study revisits the innovation-inequality nexus and tests the technological Kuznets curve hypothesis suggesting that technology can induce or reduce inequalities depending on the level of technological development. Applying a recently developed dynamic panel model with endogeneity and threshold effects to a panel of 72 countries, I find a significant U-shaped curvilinear relationship between innovation and income inequality which is robust to different measures of innovations and a different estimation technique. Furthermore, it was shown that achieving a certain level of technological development can change how economic growth and financial development affect income inequality.

Suggested Citation

  • Maksim, Kostiulin, 2024. "The Nonlinear Relationship Between Technological Development and Income Inequality: Evidence from Dynamic Panel Model with Threshold Effect," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 49(3), pages 33-61, September.
  • Handle: RePEc:ris:jecdev:0092
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    References listed on IDEAS

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    1. Reto Foellmi & Josef Zweimüller, 2017. "Is inequality harmful for innovation and growth? Price versus market size effects," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 359-378, April.
    2. Caner, Mehmet & Hansen, Bruce E., 2004. "Instrumental Variable Estimation Of A Threshold Model," Econometric Theory, Cambridge University Press, vol. 20(5), pages 813-843, October.
    3. Zlatko Nikoloski, 2013. "Financial Sector Development And Inequality: Is There A Financial Kuznets Curve?," Journal of International Development, John Wiley & Sons, Ltd., vol. 25(7), pages 897-911, October.
    4. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    6. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    7. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Carbon dioxide emissions and economic growth: Panel data evidence from developing countries," Energy Policy, Elsevier, vol. 38(1), pages 661-666, January.
    8. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    9. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    10. Benos, Nikos & Tsiachtsiras, Georgios, 2019. "Innovation and Income Inequality: World Evidence," MPRA Paper 92050, University Library of Munich, Germany.
    11. Law, Siong Hook & Naseem, N.A.M. & Lau, Wei Theng & Trinugroho, Irwan, 2020. "Can innovation improve income inequality? Evidence from panel data," Economic Systems, Elsevier, vol. 44(4).
    12. 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.
    13. Andrés Rodríguez-Pose & Vassilis Tselios, 2010. "Inequalities in income and education and regional economic growth in western Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(2), pages 349-375, April.
    14. Gravina, Antonio Francesco & Lanzafame, Matteo, 2021. "Finance, globalisation, technology and inequality: Do nonlinearities matter?," Economic Modelling, Elsevier, vol. 96(C), pages 96-110.
    15. Antonelli, Cristiano & Gehringer, Agnieszka, 2017. "Technological change, rent and income inequalities: A Schumpeterian approach," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 85-98.
    16. Restuccia, Diego & Urrutia, Carlos, 2001. "Relative prices and investment rates," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 93-121, February.
    17. Jalil, Abdul, 2012. "Modeling income inequality and openness in the framework of Kuznets curve: New evidence from China," Economic Modelling, Elsevier, vol. 29(2), pages 309-315.
    18. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    19. Seher Gülşah Topuz & Özcan Dağdemir, 2020. "Analysis of the relationship between trade openness, structural change, and income inequality under Kuznets curve hypothesis: The case of Turkey," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(6), pages 647-664, August.
    20. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    21. 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.
    22. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
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    More about this item

    Keywords

    Nonlinearity; Dynamic Panel; Threshold Effects; Income Inequality; Innovation;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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