Analysis the effect of digital economy on income inequality: A study on six ASEAN countries

Authors

  • I Kadek Eka Prana Jaya Faculty of Economy, Universitas Pendidikan Ganesha

DOI:

https://doi.org/10.12928/optimum.v16i2.14966

Keywords:

Income Inequality, Digital Economy, ASEAN Countries, Panel Data Regression

Abstract

The rapid development of the digital economy has reshaped labor markets and income distribution, raising concerns over whether digitalization exacerbates or reduces income inequality. While technological progress is often associated with skill-biased effects, digital technologies may also broaden access to markets, information, and economic opportunities, particularly in developing regions such as ASEAN. This study examines the impact of digital economy on income inequality in ASEAN countries and assesses whether the relationship follows a non-linear (U-shaped) pattern. Using panel data from six ASEAN countries (Indonesia, Malaysia, Singapore, Thailand, Vietnam, and Philippines) over the period 2010–2020 (66 country-year observations), the analysis employs fixed-effects panel regression models. A quadratic specification is estimated to test for non-linearity, and potential endogeneity is addressed using a two-stage least squares (2SLS) approach with telecommunication-based instrumental variables. The empirical results indicate that digital economy has a negative and statistically significant effect on income inequality, suggesting an equalizing impact across ASEAN countries. The findings imply that digitalization reduces income inequality by expanding access to digital infrastructure and economic participation, thereby enhancing labor market inclusion and income opportunities for low- and middle-income groups. However, no robust evidence of a non-linear (U-shaped) relationship is found, as the estimated turning point lies outside the observed data range.

References

Antonelli, C., & Tubiana, M. (2023). The rate and direction of technological change and wealth and income inequalities in advanced countries. Technological Forecasting and Social Change, 191(June). https://doi.org/10.1016/j.techfore.2023.122508

Breschi, S., Malerba, F., & Orsenigo, L. (2000). Technological regimes and schumpeterian patterns of innovation. The Economic Journal, 110(463), 388-410. https://doi.org/10.1111/1468-0297.00530

Butler, J., Wildermuth, G. A., Thiede, B. C., & Brown, D. L. (2020). Population change and income inequality in rural America. Population Research and Policy Review, 39(5), 889-911. https://doi.org/10.1007/s11113-020-09606-7

El-Darwiche, B., Zein, E. T., Sayess, D., Rizk, M., & Katz, R. (2021). Energizing the digital economy in the Gulf countries. Strategy & Part of the PwC Network. Dubai.

Freund, C., & Weinhold, D. (2004). The effect of the Internet on international trade. Journal of International Economics, 62(1), 171-189. https://doi.org/10.1016/S0022-1996(03)00059-X

Fuady, A. H. (2018). Teknologi digital dan ketimpangan ekonomi di Indonesia. Masyarakat Indonesia, 44(1), 75-88.

Furceri, D., & Ostry, J. (2019). Robust determinants of income inequality. Oxford Review of Economic Policy, 35, 490-517. https://doi.org/10.1093/oxrep/grz014

Gault, F. (2019). User innovation in the digital economy. Foresight and STI Governance, 13(3). 6-12. https://doi.org/10.17323/2500-2597.2019.3.6.12

Goldfarb, A., & Tucker, C. (2019). Digital economics. Journal of Economic Literature, 57(1), 3-43. https://doi.org/10.1257/jel.20171452

Gygli, S., Haelg, F., Potrafke, N., & Sturm, J. (2019). The KOF Globalisation Index - revisited. The Review of International Organizations, 14(3), 543-574. https://doi.org/10.1007/s11558-019-09344-2

Hoffmann, F., Lee, D. S., & Lemieux, T. (2020). Growing income inequality in the United States and other advanced economies. Journal of Economic Perspectives, 34(4), 52-78. https://doi.org/10.1257/jep.34.4.52

Ilyasa, W. N., Kurniawan, M. L. A., Lubis, F. R. A., & Salim, A. (2025). The role of credit for poverty alleviation in Indonesia: Evidence from panel data analysis. IJBE (Integrated Journal of Business and Economics), 9(2), 203-217. https://doi.org/10.33019/ijbe.v9i2.1101

Jing, A. H. Y., Ab-Rahim, R., & Baharuddin, N. N. (2020). Information and Communication Technology (ICT) and income inequality in ASEAN-5 countries. International Journal of Academic Research in Business and Social Sciences, 10(1), 209-223. https://doi.org/10.6007/IJARBSS/v10-i1/6843

Kim, S. Y. (2012). Technological kuznets curve? technology, income inequality, and govern-ment policy. Asian Research Policy, 3, 33-49.

Kolade, O., & Owoseni, A. (2022). Employment 5.0: The work of the future and the future of work. Technology in Society, 71. https://doi.org/10.1016/j.techsoc.2022.102086

Kuznets, S. (1955). Economic growth and income inequality. The American Economic Review, 45(1), 1-28.

Matthess, M., & Kunkel, S. (2020). Structural change and digitalization in developing countries: Conceptually linking the two transformations. Technology in Society, 63. https://doi.org/10.1016/j.techsoc.2020.101428

Mellacher, P., & Scheuer, T. (2021). Wage inequality, labor market polarization and skill-biased technological change: An evolutionary (agent-based) approach. Computational Economics, 58, 233-278. https://doi.org/10.1007/s10614-020-10026-0

Ningsih, C., & Choi, Y. (2019). An effect of internet penetration on income inequality in southeast Asian countries. Information Society & Media, 20(3), 121-138. https://doi.org/10.52558/ISM.2019.12.20.3.121

Peng, Z., & Dan, T. (2023). Digital dividend or digital divide? Digital economy and urban-rural income inequality in China. Telecommunications Policy, 47(9), 102616. https://doi.org/10.1016/j.telpol.2023.102616

Polacko, M. (2021). Causes and consequences of income inequality - An overview. Statistics, Politics and Policy, 12(2), 341-357. https://doi.org/10.1515/spp-2021-0017

Prakosa, B. G., Guritno, D. C., Anindita, T., Kurniawan, M. L. A., & Nugroho, A. C. (2024). Correlation among components of the Indonesian industry readiness index 4.0 and its implementation on socioeconomic along with the demographic aspects. Digital Transformation and Society, 3(3), 296-309. https://doi.org/10.1108/DTS-08-2023-0063

Rachmawati, L. N., Lubis, F. R. A., & Az zakiyyah, N. A. (2025). Regional income disparities in Indonesia: Insights from the Williamson index and panel data analysis. Optimum: Jurnal Ekonomi dan Pembangunan, 15(2), 264-271. https://doi.org/10.12928/optimum.v15i2.12953

Sarkhosh-Sara, A., Nasrollahi, K., Azarbayjani, K., & Dastjerdi, R. B. (2020). Comparative analysis of the effects of institutional factors and Piketty's Hypothesis on inequality: evidence from a panel of countries. Journal of Economic Structures, 9(44). https://doi.org/10.1186/s40008-020-00218-0

Sarkodie, S. A., & Adams, S. H. (2020). Electricity access, human development index, governance and income inequality in Sub-Saharan Africa. Energy Reports, 6, 455-466. https://doi.org/10.1016/j.egyr.2020.02.009

Seo, H-J., Kim, H., & Lee, S. Y. (2020). The dynamic relationship between inequality and economic growth. Sustainability, 12(14), https://doi.org/10.3390/su12145740

Tabash, M. I., Elsantil, Y., Hamadi, A., & Drachal, K. (2024). Globalization and income inequality in developing economies: A comprehensive analysis. Economies, 12(1). https://doi.org/10.3390/economies12010023

Tian, L., & Xiang, Y. (2024). Does the digital economy promote or inhibit income inequality? Heliyon, 10(14). https://doi.org/10.1016/j.heliyon.2024.e33533

Violante, G.L. (2008). Skill-biased technical change. The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95121-5_2388-1

Wooldridge, J. M. (2012). Introductory econometrics: A modern approach, Fifth edition. South-Western Cengage Learning

Wu, M., Ma, Y., & Ji, Z. (2024). The impact of digital economy on income inequality from the perspective of technological progress-biased transformation: evidence from China. Empirical Economics, 67, 567-607. https://doi.org/10.1007/s00181-024-02563-6

Yadav, S., Antil, N., Gupta, D., & Kandpal, D. V. (2020). A panel data examination of income inequality in 24 African countries. Journal of Public Affairs, 22(3). https://doi.org/10.1002/pa.2563

Yan, J., Tu, X., & Zheng, J. (2023). Does digital economy strengthen the income distribution effect of fiscal expenditure? Evidence from China. PLoS ONE, 18(8 August), 1-19. https://doi.org/10.1371/journal.pone.0290041

Zhang, Q., & Churchill, S. A. (2020). Income inequality and subjective wellbeing: Panel data evidence from China. China Economic Review, 60. https://doi.org/10.1016/j.chieco.2019.101392

Downloads

Published

2026-09-09

Issue

Section

Articles