Share:


How do different forms of digitalization affect income inequality?

    Anson Au Affiliation

Abstract

This article examines how different forms of digitalization affect inequality in Europe. Using a cross-national dataset of economic development and digitalization across a range of regression specifications including country and time fixed effects, this article explores the heterogeneous relationships of disparate forms of digitalization – human capital, broadband connectivity, integration of digital technology into small and medium enterprises, and digital public services – with income inequality. Fixed country and time effects models show that only the digitalization of human capital and integration of digital technology by SMEs are associated with decreases in income inequality. Causal mediation analysis reveals that tertiary education, despite its oft-cited connection to digital technology uptake, has no causal effect on the pathways through which digitalization of labour and SME operations lower inequality, which are direct. The findings tentatively suggest that there exist informal sources of digital skills training apart from formal tertiary education and point to SMEs as a potentially impactful area for investing in digitalization as pathways for income redistribution.


First published online 14 March 2024

Keyword : digitalization, income inequality, human capital, broadband connectivity, small and medium enterprises, public services

How to Cite
Au, A. (2024). How do different forms of digitalization affect income inequality?. Technological and Economic Development of Economy, 30(3), 667–687. https://doi.org/10.3846/tede.2024.20562
Published in Issue
May 28, 2024
Abstract Views
664
PDF Downloads
472
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1–11. https://doi.org/10.1016/j.edurev.2016.11.002

Afzal, A., Firdousi, S., Waqar, A., & Awais, M. (2022). The influence of internet penetration on poverty and income inequality. SAGE Open, 12(3). https://doi.org/10.1177/21582440221116104

Alvaredo, F., Chancel, L., Piketty, T., Saez, E., & Zucman, G. (Eds.). (2018). World inequality report 2018. Harvard University Press. https://doi.org/10.4159/9780674984769

Anand, S. (1983). Inequality and poverty in Malaysia: Measurement and decomposition. Oxford University Press.

Antonelli, C., & Gehringer, A. (2017). Technological change, rent and income inequalities: A Schumpeterian approach. Technological Forecasting and Social Change, 115, 85–98. https://doi.org/10.1016/j.techfore.2016.09.023

Au, A. (2023a). Cryptocurrencies and the promise of individual economic sovereignty in an age of digitalization: A critical appraisal. The Sociological Review, 71(5), 992-1011. https://doi.org/10.1177/00380261221127858

Au, A. (2023b). Digitalization in China: Who’s left behind? Information, Communication & Society, 1–19. https://doi.org/10.1080/1369118X.2023.2245871

Autor, D. (2014). Skills, education, and the rise of earnings inequality among the “other 99 percent”. Science, 344(6186), 843–851. https://doi.org/10.1126/science.1251868

Bacher-Hicks, A., Goodman, J., & Mulhern, C. (2021). Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time. Journal of Public Economics, 193, Article 104345. https://doi.org/10.1016/j.jpubeco.2020.104345

Bandelj, N., & Grigoryeva, A. (2021). Investment, saving, and borrowing for children: Trends by wealth, race, and ethnicity, 1998–2016. RSF: The Russell Sage Foundation Journal of the Social Sciences, 7(3), 50–77. https://doi.org/10.7758/rsf.2021.7.3.03

Bauer, J. M. (2018). The Internet and income inequality: Socio-economic challenges in a hyperconnected society. Telecommunications Policy, 42(4), 333–343. https://doi.org/10.1016/j.telpol.2017.05.009

Beckfield, J. (2006). European integration and income inequality. American Sociological Review, 71(6), 964–985. https://doi.org/10.1177/000312240607100605

Bejaković, P., & Mrnjavac, Ž. (2020). The importance of digital literacy on the labour market. Employee Relations, 42(4), 921–932. https://doi.org/10.1108/ER-07-2019-0274

Berman, Y., Ben-Jacob, E., & Shapira, Y. (2016). The dynamics of wealth inequality and the effect of income distribution. PloS ONE, 11(4), Article e0154196. https://doi.org/10.1371/journal.pone.0154196

Bertot, J., Estevez, E., & Janowski, T. (2016). Universal and contextualized public services: Digital public service innovation framework. Government Information Quarterly, 33(2), 211–222. https://doi.org/10.1016/j.giq.2016.05.004

Bouncken, R. B., Fredrich, V., & Kraus, S. (2020). Configurations of firm-level value capture in coopetition. Long Range Planning, 53(1), Article 101869. https://doi.org/10.1016/j.lrp.2019.02.002

Bouwman, H., Nikou, S., & de Reuver, M. (2019). Digitalization, business models, and SMEs: How do business model innovation practices improve performance of digitalizing SMEs? Telecommunications Policy, 43(9), Article 101828. https://doi.org/10.1016/j.telpol.2019.101828

Brand, J. E., Moore, R., Song, X., & Xie, Y. (2019). Why does parental divorce lower children’s educational attainment? A causal mediation analysis. Sociological Science, 6, 264–292. https://doi.org/10.15195/v6.a11

Ceriani, L., & Verme, P. (2012). The origins of the Gini index: Extracts from Variabilità e Mutabilità (1912) by Corrado Gini. The Journal of Economic Inequality, 10(3), 421–443. https://doi.org/10.1007/s10888-011-9188-x

Clarke, G. (1995). More evidence on income distribution and growth. Journal of Development Economics, 47(2), 403–427. https://doi.org/10.1016/0304-3878(94)00069-O

Colciago, A., Samarina, A., & de Haan, J. (2019). Central bank policies and income and wealth inequality: A survey. Journal of Economic Surveys, 33(4), 1199–1231. https://doi.org/10.1111/joes.12314

Dabla-Norris, E., Kochhar, K., Ricka, F., Suphaphiphat, N., & Tsounta, E. (2015). Causes and consequences of income inequality: A global perspective (IMF Staff Discussion Note 15/13). International Monetary Fund. https://doi.org/10.1111/joes.12314

Demir, A., Pesqué-Cela, V., Altunbas, Y., & Murinde, V. (2022). Fintech, financial inclusion and income inequality: A quantile regression approach. The European Journal of Finance, 28(1), 86–107. https://doi.org/10.1080/1351847X.2020.1772335

De Vita, G., & Luo, Y. (2021). Financialization, household debt and income inequality: Empirical evidence. International Journal of Finance & Economics, 26(2), 1917–1937. https://doi.org/10.1002/ijfe.1886

Dion, M. L., & Birchfield, V. (2010). Economic development, income inequality, and preferences for redistribution. International Studies Quarterly, 54(2), 315–334. https://doi.org/10.1111/j.1468-2478.2010.00589.x

Dippel, C., Ferrara, A., & Heblich, S. (2020). Causal mediation analysis in instrumental-variables regressions. The Stata Journal, 20(3), 613–626. https://doi.org/10.1177/1536867X20953572

Donoso, V., Pyżalski, J., Walter, N., Retzmann, N., Iwanicka, A., d’Haenens, L., & Bartkowiak, K. (2020). Report on interviews with experts on digital skills in schools and on the labour market. Katholieke Universiteit Leuven.

European Commission. (2022). Digital Economy and Society Index (DESI) 2022. Methodological note. European Commission.

Fan, J., Tang, L., Zhu, W., & Zou, B. (2018). The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce. Journal of International Economics, 114, 203–220. https://doi.org/10.1016/j.jinteco.2018.07.002

Gui, M., & Büchi, M. (2021). From use to overuse: Digital inequality in the age of communication abundance. Social Science Computer Review, 39(1), 3–19. https://doi.org/10.1177/0894439319851163

Hall, B. H. (1987). The relationship between firm size and firm growth in the U.S. manufacturing sector. Journal of Industrial Economics, 35(4), 583–606. https://doi.org/10.2307/2098589

Horii, R., Ohdoi, R., & Yamamoto, K. (2013). Financial infrastructure, technological shift, and inequality in economic development. Macroeconomic Dynamics, 17(3), 531–562. https://doi.org/10.1017/S1365100511000356

Jaumotte, F., Lall, S., & Papageorgiou, C. (2013). Rising income inequality: Technology, or trade and financial globalization? IMF Economic Review, 61(2), 271–309. https://doi.org/10.1057/imfer.2013.7

Jaumotte, F., & Osorio Buitron, C. (2015). Inequality and labor market institutions (IMF Staff Discussion Note 15/14). International Monetary Fund. https://doi.org/10.5089/9781513577258.006

Jiang, W. (2017). Have instrumental variables brought us closer to the truth. The Review of Corporate Finance Studies, 6(2), 127–140. https://doi.org/10.1093/rcfs/cfx015

Kiener, F., Gnehm, A., Clematide, S., & Backes-Gellner, U. (2019). Different types of IT skills in occupational training curricula and labor market outcomes. Universität Zürich, IBW-Institut für Betriebswirtschaftslehre.

Kratz, F., Pettinger, B., & Grätz, M. (2022). At which age is education the great equalizer? A causal mediation analysis of the (in-) direct effects of social origin over the life course. European Sociological Review, 38(6), 866–881. https://doi.org/10.1093/esr/jcac018

Kraus, S., Roig-Tierno, N., & Bouncken, R. (2019). Digital innovation and venturing: An introduction into the digitalization of entrepreneurship. Review of Managerial Science, 13(3), 519–528. https://doi.org/10.1007/s11846-019-00333-8

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

Kuznets, S. (1963). Quantitative aspects of the economic growth of nations: VIII. Distribution of income by size. Economic Development and Cultural Change, 11(2), 1–80. https://doi.org/10.1086/450006

Li, C., Huo, P., Wang, Z., Zhang, W., Liang, F., & Mardani, A. (2023). Digitalization generates equality? Enterprises’ digital transformation, financing constraints, and labor share in China. Journal of Business Research, 163, Article 113924. https://doi.org/10.1016/j.jbusres.2023.113924

Lim, G., & McNelis, P. (2016). Income growth and inequality: The threshold effects of trade and financial openness. Economic Modelling, 58, 403–412. https://doi.org/10.1016/j.econmod.2016.05.010

Lin, F., Fofanah, S. S., & Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly, 28(2), 271–279. https://doi.org/10.1016/j.giq.2010.09.004

Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. The Journal of Strategic Information Systems, 24(3), 149–157. https://doi.org/10.1016/j.jsis.2015.08.002

Lu, Z., Wu, J., Li, H., & Nguyen, D. K. (2022). Local bank, digital financial inclusion and SME financing constraints: Empirical evidence from China. Emerging Markets Finance and Trade, 58(6), 1712–1725. https://doi.org/10.1080/1540496X.2021.1923477

Lucendo-Monedero, A., Ruiz-Rodríguez, F., & González-Relaño, R. (2019). Measuring the digital divide at regional level: A spatial analysis of the inequalities in digital development of households and individuals in Europe. Telematics and Informatics, 41, 197–217. https://doi.org/10.1016/j.tele.2019.05.002

Maas, C., & Hox, J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1(3), 86–92. https://doi.org/10.1027/1614-2241.1.3.86

Mahdzan, N. S., Sabri, M. F., Husniyah, A. R., Magli, A. S., & Chowdhury, N. T. (2023). Digital financial services usage and subjective financial well-being: Evidence from low-income households in Malaysia. International Journal of Bank Marketing, 41(2), 395–427. https://doi.org/10.1108/IJBM-06-2022-0226

Martin, L., Nataraj, S., & Harrison, A. (2017). In with the big, out with the small: Removing small-scale reservations in India. American Economic Review, 107(2), 354–386. https://doi.org/10.1257/aer.20141335

Matheus, R., Janssen, M., & Janowski, T. (2021). Design principles for creating digital transparency in government. Government Information Quarterly, 38(1), Article 101550. https://doi.org/10.1016/j.giq.2020.101550

Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57(5), 339–343. https://doi.org/10.1007/s12599-015-0401-5

McCall, L., & Percheski, C. (2010). Income inequality: New trends and research directions. Annual Review of Sociology, 36, 329–347. https://doi.org/10.1146/annurev.soc.012809.102541

Mohd Daud, S., Ahmad, A., & Ngah, W. (2021). Financialization, digital technology and income inequality. Applied Economics Letters, 28(16), 1339–1343. https://doi.org/10.1080/13504851.2020.1808165

Muller, E. (1988). Democracy, economic development, and income inequality. American Sociological Review, 53(3), 50–68. https://doi.org/10.2307/2095732

Myles, J. (2003). Where have all the sociologists gone? Explaining economic inequality. The Canadian Journal of Sociology, 28(4), 551–559. https://doi.org/10.2307/3341842

Neumark, D., Wall, B., & Zhang, J. (2011). Do small businesses create more jobs? New evidence for the United States from the National Establishment Time Series. Review of Economics and Statistics, 93(1), 16–29. https://doi.org/10.1162/REST_a_00060

Ni, N., Liu, Y., & Zhou, H. (2022). Financial openness, capital rents and income inequality. European Journal of Political Economy, 71, Article 102077. https://doi.org/10.1016/j.ejpoleco.2021.102077

Non, M., Dinkova, M., & Dahmen, B. (2021). Skill up or get left behind? Digital skills and labor market outcomes in the Netherlands (CPB Discussion Paper No. 419). CPB Netherlands Bureau for Economic Policy Analysis.

Pagani, L., Argentin, G., Gui, M., & Stanca, L. (2016). The impact of digital skills on educational outcomes: evidence from performance tests. Educational Studies, 42(2), 137–162. https://doi.org/10.1080/03055698.2016.1148588

Pearl, J., & Mackenzie, D. (2018). The book of why: The new science of cause and effect. Basic books.

Piketty, T., & Saez, E. (2006). The evolution of top incomes: A historical and international perspective. American Economic Review, 96(2), 200–205. https://doi.org/10.1257/000282806777212116

Piketty, T., & Saez, E. (2014). Inequality in the long run. Science, 344(6186), 838–843. https://doi.org/10.1126/science.1251936

Rosenberg, D. (2019). Use of e-government services in a deeply divided society: A test and an extension of the social inequality hypotheses. New Media & Society, 21(2), 464–482. https://doi.org/10.1177/1461444818799632

Rosenberg, D. (2021). Ethnic perspective in e-government use and trust in government: A test of social inequality approaches. New Media & Society, 23(6), 1660–1680. https://doi.org/10.1177/1461444820920655

Sava, J. (2022). Digital transformation spending worldwide 2017–2025. Statista, Hamburg, Germany.

Scarborough, W. J., Pepin, J. R., Lambouths III, D. L., Kwon, R., & Monasterio, R. (2021). The intersection of racial and gender attitudes, 1977 through 2018. American Sociological Review, 86(5), 823–855. https://doi.org/10.1177/00031224211033582

Sen, A. (1973). On economic inequality. Clarendon Press. https://doi.org/10.1093/0198281935.001.0001

Seo, H., Erba, J., Altschwager, D., & Geana, M. (2019). Evidence-based digital literacy class for older, low-income African-American adults. Journal of Applied Communication Research, 47(2), 130–152. https://doi.org/10.1080/00909882.2019.1587176

Shahab, S., & Lades, L. (2021). Sludge and transaction costs. Behavioural Public Policy, 1–22. https://doi.org/10.1017/bpp.2021.12

Shang, R. (2023). Divide or dividend: How digital finance impacts educational equality. Finance Research Letters, 55(A), Article 103858. https://doi.org/10.1016/j.frl.2023.103858

Shin, K. Y. (2020). A new approach to social inequality: Inequality of income and wealth in South Korea. The Journal of Chinese Sociology, 7(1), Article 7. https://doi.org/10.1186/s40711-020-00126-7

Silva, B., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38, 697–713. https://doi.org/10.1016/j.scs.2018.01.053

Skare, M., & Porada-Rochoń, M. (2022). Technology and social equality in the United States. Technological Forecasting and Social Change, 183, Article 121947. https://doi.org/10.1016/j.techfore.2022.121947

Spada, I., Chiarello, F., Barandoni, S., Ruggi, G., Martini, A., & Fantoni, G. (2022). Are universities ready to deliver digital skills and competences? A text mining-based case study of marketing courses in Italy. Technological Forecasting and Social Change, 182, Article 121869. https://doi.org/10.1016/j.techfore.2022.121869

Tchamyou, V., Erreygers, G., & Cassimon, D. (2019). Inequality, ICT and financial access in Africa. Technological Forecasting and Social Change, 139, 169–184. https://doi.org/10.1016/j.techfore.2018.11.004

Thaler, R. H. (2018). From cashews to nudges: The evolution of behavioral economics. American Economic Review, 108(6), 1265–87. https://doi.org/10.1257/aer.108.6.1265

Tolbert, C. J., & Mossberger, K. (2006). The effects of e‐government on trust and confidence in government. Public Administration Review, 66(3), 354–369. https://doi.org/10.1111/j.1540-6210.2006.00594.x

Tomaskovic-Devey, D., Lin, K., & Meyers, N. (2015). Did financialization reduce economic growth? Socio-Economic Review, 13(3), 525–548. https://doi.org/10.1093/ser/mwv009

Van Deursen, A., Helsper, E., Eynon, R., & Van Dijk, J. (2017). The compoundness and sequentiality of digital inequality. International Journal of Communication, 11, 452–473.

Van Dijk, J. (2006). Digital divide research, achievements and shortcomings. Poetics, 34(4–5), 221–235. https://doi.org/10.1016/j.poetic.2006.05.004

Van Laar, E., van Deursen, A., van Dijk, J., & de Haan, J. (2020). Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. SAGE Open, 10(1). https://doi.org/10.1177/2158244019900176

Vial, G. (2021). Understanding digital transformation: A review and a research agenda. In A. Hinterhuber, T. Vescovi, & F. Checchinato (Eds.), Managing digital transformation (pp. 13–66). Routledge. https://doi.org/10.4324/9781003008637-4

Weede, E. (1980). Beyond misspecification in sociological analysis of income inequality. American Sociological Review, 45(3), 497–501. https://doi.org/10.2307/2095180

Williams, R. (2022). Social Networking Services (SNS) in education. Asian Journal of Advanced Research and Reports, 17(1), 1–4.

World Bank. (2021). World development report. The World Bank.

Yitzhaki, S. (1979). Relative deprivation and the Gini coefficient. Quarterly Journal of Economics, 93(2), 321–324. https://doi.org/10.2307/1883197

Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., & David, B. (2015). A literature survey on smart cities. Science China Information Sciences, 58, 1–18. https://doi.org/10.1007/s11432-015-5397-4

Yin, Z. H., & Choi, C. H. (2023). Does digitalization contribute to lesser income inequality? Evidence from G20 countries. Information Technology for Development, 29(1), 61–82. https://doi.org/10.1080/02681102.2022.2123443

Young, A. (2022). Consistency without inference: Instrumental variables in practical application. European Economic Review, 147, Article 104112. https://doi.org/10.1016/j.euroecorev.2022.104112

Zhou, J. (2019). Let us meet online! Examining the factors influencing older Chinese’s social networking site use. Journal of Cross-Cultural Gerontology, 34(1), 35–49. https://doi.org/10.1007/s10823-019-09365-9