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Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries

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  • Elfaki, Khalid Eltayeb
  • Ahmed, Elsadig Musa

Abstract

This study investigates the relationship between technological innovations, financial development, and income inequality implications on achieving Sustainable Development Goal 10 (SDG10) in seven Asian economies via testing the inverted U-shaped hypothesis of technological innovation on income inequality in the concept of technological Kuznets curve hypothesis. The significant contribution of this study is introducing the Technological Kuznets Curve (TKC) as an extension to the Kuznets curve (KC) framework to capture the impact of technological innovation on income inequality. The PMG/ARDL was applied to estimate the coefficients to accomplish the study's objective. The panel cointegration tests confirm that all variables are cointegrated with income inequality. The empirical findings validate the KC hypothesis and demonstrate that technological innovations contribute to reducing income inequality within the Kuznets curve framework in the long run. Financial development (money supply) was negatively correlated with income inequality. The study further validates the TKC hypothesis, revealing an inverted U-shaped relationship between technological innovations and income inequality. Financial development, measured by domestic credit to the private sector, also shows a negative correlation with income inequality within the TKC framework. However, the money supply demonstrates a positive link with income inequality. The study recommended the necessity to prioritize policies that support technological innovation through subsidies, encouragement for research and development, and collaborations between the public and private sectors will greatly lower income inequality and support achieving Sustainable Development Goal 10 (SDG10). Financial development significantly facilitates access to financial services and contributes to diminishing income inequality by building an effective and inclusive banking system (mobile banking services for poor communities), easing access to credit for emerging and small and midsize enterprises (SMEs), and money circulation. Governments should strategically allocate resources toward programs and initiatives that directly address income inequality and promote inclusive growth.

Suggested Citation

  • Elfaki, Khalid Eltayeb & Ahmed, Elsadig Musa, 2024. "Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524005833
    DOI: 10.1016/j.techfore.2024.123785
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    1. Ibrahim N. Khatatbeh & Wasfi Al Salamat & Mohammed N. Abu-Alfoul & Jamil J. Jaber, 2022. "Is there any financial kuznets curve in Jordan? a structural time series analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2061103-206, December.
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. Murat Cetin & Harun Demir & Selin Saygin, 2021. "Financial Development, Technological Innovation and Income Inequality: Time Series Evidence from Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 47-69, July.
    4. 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.
    5. Tchamyou, Vanessa S. & Erreygers, Guido & Cassimon, Danny, 2019. "Inequality, ICT and financial access in Africa," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 169-184.
    6. Greenwood, Jeremy & Jovanovic, Boyan, 1990. "Financial Development, Growth, and the Distribution of Income," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1076-1107, October.
    7. Patrick Marie Nga Ndjobo & Nadège Ngah Otabela, 2023. "Can Income Inequality be Affected by the Interaction Between ICTs and Human Capital?: The Evidence from Developing Countries," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 235-264, March.
    8. Antonelli, Cristiano & Tubiana, Matteo, 2023. "The rate and direction of technological change and wealth and income inequalities in advanced countries," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    9. Moheddine Younsi & Marwa Bechtini, 2020. "Economic Growth, Financial Development, and Income Inequality in BRICS Countries: Does Kuznets’ Inverted U-Shaped Curve Exist?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 721-742, June.
    10. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    11. Frederick Solt, 2020. "Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 101(3), pages 1183-1199, May.
    12. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    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. Mduduzi Biyase & Talent Zwane & Precious Mncayi & Mokgadi Maleka, 2023. "Do Technological Innovation and Financial Development Affect Inequality? Evidence from BRICS Countries," IJFS, MDPI, vol. 11(1), pages 1-18, March.
    15. Florence Jaumotte & Subir Lall & Chris Papageorgiou, 2013. "Rising Income Inequality: Technology, or Trade and Financial Globalization?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(2), pages 271-309, June.
    16. Mehmet Akif Destek & Avik Sinha & Samuel Asumadu Sarkodie, 2020. "The relationship between financial development and income inequality in Turkey," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-14, December.
    17. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    18. Tao Tang & Lizeth Cuesta & Brayan Tillaguango & Rafael Alvarado & Abdul Rehman & Diana Bravo-Benavides & Natalia Zárate, 2022. "Causal Link between Technological Innovation and Inequality Moderated by Public Spending, Manufacturing, Agricultural Employment, and Export Diversification," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    19. Sinha, Avik & Sengupta, Tuhin & Kalugina, Olga & Gulzar, Muhammad Awais, 2020. "Does distribution of energy innovation impact distribution of income: A quantile-based SDG modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    20. Philippe Aghion & Ufuk Akcigit & Antonin Bergeaud & Richard Blundell & David Hemous, 2019. "Innovation and Top Income Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 1-45.
    21. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    22. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    23. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    24. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    25. Antonelli, Cristiano & Scellato, Giuseppe, 2019. "Wage inequality and directed technological change: Implications for income distribution," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 59-65.
    26. Passant M. B. Selim & Hasan Güngör, 2021. "Inequality and financial development: Evidence from selected MENA region countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2732-2747, April.
    27. Bittencourt, Manoel & Chang, Shinhye & Gupta, Rangan & Miller, Stephen M., 2019. "Does financial development affect income inequality in the U.S. States?," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1043-1056.
    28. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    29. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
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    1. Murat Akça & Ömer Uğur Bulut & Samet Topal & Önder Balcı & Deniz Özyakışır & Serhat Çamkaya, 2025. "Is the Technology-Oriented Kuznets Curve Hypothesis Valid in Türkiye? An Assessment in the Context of SDG-10," Sustainability, MDPI, vol. 17(10), pages 1-19, May.

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