Published date: Nov 08 2022

Journal Title: KnE Social Sciences

Issue title: Science and Technology Research Symposium (SIRES)

Pages: 274–280

DOI: 10.18502/kss.v0i0.12337

Suharno .suharno@unsoed.ac.idEconomics Department, Faculty of Economics and Business, Jenderal Soedirman University, Indonesia

Nurul AnwarEconomics Department, Faculty of Economics and Business, Jenderal Soedirman University, Indonesia

Aji PriambodoEconomics Department, Faculty of Economics and Business, Jenderal Soedirman University, Indonesia

Civilization has significantly been impacted by the advancement of information and communication technology (ICT). But because ICT has developed unevenly, there is now a digital divide that influences the economy. The purpose of this study was to examine how the digital divide affects local income and the Gini ratio. The digital gap index, the original income of 34 Indonesian provinces, and this ratio are the study techniques employed quantitatively with time series data for 5 years (2015-2020). Data study reveals that local income is negatively impacted by the digital divide, but this ratio is positively impacted by local indigenous income.

Keywords: digital divide, gini, income, economy

[1] Espinoza H, Kling G, McGroarty F, O’Mahony M, Ziouvelou X. Estimating the impact of the Internet of Things on productivity in Europe. Heliyon. 2020 May;6(5):e03935.

[2] Yin ZH, Cho CH. Has the Internet increased FDI, economic growth, and trade? Evidence from Asian economies. Information Development. 2021.

[3] Sujarwoto S, Tampubolon G. Spatial inequality and the Internet divide in Indonesia 2010–2012. Telecomm Policy. 2016;40(7):602–16.

[4] Faizah C, Yamada K, Pratomo DS. Information and communication technology, inequality change and regional development in Indonesia. Journal of Socioeconomics and Development. 2021;4(2):224.

[5] Lin CH, Lin HS, Hsu CP. Digital Divide and Income Inequality: A Spatial Analysis. Review of Economics & Finance. 2017:31–43.

[6] Richmond K, Triplett RE. ICT and income inequality: a cross-national perspective. Int Rev Appl Econ. 2017;32(2):195–214.

[7] Tchamyou VS, Asongu SA, Odhiambo NM. The Role of ICT in Modulating the Effect of Education and Lifelong Learning on Income Inequality and Economic Growth in Africa. Afr Dev Rev. 2019;31(3):261–74.

[8] Ali MA, Alam K, Taylor B, Rafiq S. Do income distribution and socio-economic inequality affect ICT affordability? Evidence from Australian household panel data. Econ Anal Policy. 2019;64:317–28.

[9] Vicente MR, López AJ. Assessing the regional digital divide across the European Union-27. Telecomm Policy. 2011;35(3):220–37.

[10] Jing AH, Ab-Rahim R, Baharuddin NN. Information and Communication Technology (ICT) and Income Inequality in ASEAN-5 Countries. Int J Acad Res Bus Soc Sci. 2020;10(1):209–23.

[11] Tchamyou VS, Erreygers G, Cassimon D. Inequality. ICT and Financial Access in Africa; 2018.

[12] Sawng Y, Kim P, Park JY. Y. wha Sawng, P. ryong Kim, and J.Y. Park, “ICT investment and GDP growth: causality analysis for the case of Korea.,”. Telecomm Policy. 2021;45(7):102157.

[13] Kallal R, Haddaji A, Ftiti Z. “ICT diffusion and economic growth: Evidence from the sectorial analysis of a periphery country. Technological Forecasting and Social Change. 2021;162.

[14] Appiah-Otoo I, Song N. The impact of ICT on economic growth-Comparing rich and poor countries. Telecomm Policy. 2021;45(2):102082.

[15] Alshubiri F, Jamil SA, Elheddad M. The impact of ICT on financial development: Empirical evidence from the Gulf Cooperation Council countries. Int J Eng Bus Manag. 2019;11:1–14.

[16] Suharno NA, Saraswati E. Do fishers need to diversify their source of income? A special reference in vulnerable fishers of cilacap waters, Indonesia. Aquacult Aquarium Conserv Legis. 2018;11(5):1605–15.

[17] Anwar S, Saraswati E. A technique of assessing the status of sustainability of resources. IOP Conference Series: Earth and Environmental Science. 2019;250(1).

[18] Zolfaghari M, Kabiri M, Saadatmanesh H. Impact of socio-economic infrastructure investments on income inequality in Iran. J Policy Model. 2020;42(5):1146–68.

[19] Mushtaq R, Bruneau C. Microfinance, financial inclusion and ICT: implications for poverty and inequality. Technol Soc. 2019;59( July):101154.

[20] Močnik D, Širec K. The determinants of Internet use controlling for income level: cross-country empirical evidence. Inf Econ Policy. 2010;22(3):243–56.

[21] Siaw A, Jiang Y, Twumasi MA, Agbenyo W. The impact of internet use on income: the case of rural Ghana. Sustainability (Basel). 2020;12(8):1–16.

[22] Ashraf Ganjoei R, Akbarifard H, Mashinchi M, Jalaee Esfandabadi SA. Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution. Mathematical Problems in Engineering. 2021.

[23] Kyriakidou V, Michalakelis C, Sphicopoulos T. Assessment of information and communications technology maturity level. Telecomm Policy. 2013;37(1):48–62.