A Spatial Approach: The Impact of Information and Communication Technology (ICT) Development on Reducing Educational Inequality in Papua, 2024
DOI:
https://doi.org/10.35457/5cgjfg58Keywords:
Educational Inequality, Spatial Regression, ICTAbstract
Education is a national development priority that is a strategic element in promoting the adoption of modern technology and sustainable growth, as reflected in National Long-Term Development Plan (RPJPN) 2025–2045 and the fourth Sustainable Development Goal (SDG). However, educational inequality in Papua and West Papua remains a serious challenge in terms of equitable access to quality education. This study aims to evaluate the impact of digital development on educational inequality in these two provinces. Secondary data from the Central Statistics Agency (BPS-Statistics) and the Directorate General of Fiscal Balance (DJPK) were analyzed using the Spatial Error Model (SEM) to examine the influence of Information and Communication Technology (ICT) on the Education Gini Coefficient (EGC). The results show that variables such as internet access for people aged 7-18 years, the Community Literacy Development Index (IPLM), Mean Years of School (MYS), and regional education budgets play a significant role in reducing educational inequality. These findings confirm that digital development plays a strategic role in creating an inclusive and equitable education system. This research is expected to serve as a basis for formulating adaptive technology-based education policies to overcome educational inequality in Papua Island.
References
Adiningtyas, A. P., & Budyanra, B. (2020). Determinants of Districts/Cities Education Attainment Inequality in East Java Province During 2014-2016. Jurnal Dinamika Ekonomi Pembangunan, 2(3), 1. https://doi.org/10.14710/jdep.2.3.1-18
Albion, P. R., & Tondeur, J. (2018). Information and Communication Technology and Education: Meaningful Change Through Teacher Agency. March, 381–396. https://doi.org/10.1007/978-3-319-71054-9_25
Anselin, L. (1988). Spatial Econometrics : Methods and Models. Kluwer Academic Publishers.
Anselin, L., & Li, X. (2020). Tobler’s Law in a Multivariate World. Geographical Analysis, 52(4), 494–510. https://doi.org/10.1111/gean.12237
Asosiasi Penyelenggara Jasa Internet (APJI). (2024). Survei Penetrasi Internet Indonesia Tahun 2024. https://survei.apjii.or.id/home
Banzragch, O., Mizunoya, S., & Bayarjargal, M. (2019). Education inequality in Mongolia: Measurement and causes. International Journal of Educational Development, 68, 68–79. https://doi.org/10.1016/j.ijedudev.2019.04.010
Bejinaru, R. (2019). Impact of Digitalization on Education in the Knowledge Economy. Management Dynamics in the Knowledge Economy, 7(3), 367–380. https://doi.org/10.25019/mdke/7.3.06
Billon, M., Crespo, J., & Lera-López, F. (2018). Educational inequalities. Information Development, 34(5), 447–459. https://doi.org/10.1177/0266666917720968
Coady, D., & Dizioli, A. (2018). Income inequality and education revisited: persistence, endogeneity and heterogeneity. Applied Economics, 50(25), 2747–2761. https://doi.org/10.1080/00036846.2017.1406659
Dubyna, M., Kholiavko, N., Zhavoronok, A., Safonov, Y., Krylov, D., & Tochylina, Y. (2022). The ICT Sector in Economic Development of the Countries of Eastern Europe: a Comparative Analysis. WSEAS Transactions on Business and Economics, 19(January), 169–185. https://doi.org/10.37394/23207.2022.19.18
Elhorst, J. P. (2014). Dynamic Spatial Panels: Models, Methods and Inferences. In SpringerBriefs in Regional Science. https://doi.org/10.1007/978-3-642-40340-8_4
Favara, M., Freund, R., Porter, C., Sanchez, A., & Scott, D. (2022). Young Lives, Interrupted: Short-Term Effects of the COVID-19 Pandemic on Adolescents in Low- and Middle-Income Countries. The Journal of Development Studies, 58(6), 1063–1080. https://doi.org/10.1080/00220388.2022.2029421
Fernback, J. (2018). Academic/digital work: ICTs, knowledge capital, and the question of educational quality. TripleC, 16(1), 143–158. https://doi.org/10.31269/triplec.v16i1.878
Hák, T., Janoušková, S., & Moldan, B. (2016). Sustainable Development Goals: A need for relevant indicators. Ecological Indicators, 60, 565–573. https://doi.org/10.1016/j.ecolind.2015.08.003
Ge, X., Zhou, Z., Zhou, Y., Ye, X., & Liu, S. (2018). A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NOx Emissions in China. International Journal of Environmental Research and Public Health, 15(4), 725. https://doi.org/10.3390/ijerph15040725
Hendajany, N., Riyadi, D. R., & Abu Bakar, N. A. (2022). Exploring Education Gini on a Smaller Scale: How Education Inequality Differs among Districts. Jurnal Ekonomi Dan Studi Pembangunan, 14(2), 122. https://doi.org/10.17977/um002v14i22022p122
Kemendiktisaintek. (2025). Pemerataan Akses Pendidikan Tinggi di Papua Barat: UNIMUTU Teluk Bintuni dan Kartu Smart, Bukti Nyata Keberpihakan Negara. https://kemdiktisaintek.go.id/kabar-dikti/kabar/pemerataan-akses-pendidikan-tinggi-di-papua-barat-unimutu-teluk-bintuni-dan-kartu-smart-bukti-nyata-keberpihakan-negara/
Khusaini, Remi, S. S., Fahmi, M., & Muhamad Purnagunawan, R. (2020). Measuring the Inequality in Education: Educational Kuznets Curve. Jurnal Ekonomi Malaysia, 54(3), 59–76. https://doi.org/10.17576/JEM-2020-5403-05
Korkmaz, Ö., Erer, E., & Erer, D. (2022). Internet access and its role on educational inequality during the COVID-19 pandemic. Telecommunications Policy, 46(5), 102353. https://doi.org/10.1016/j.telpol.2022.102353
Lee, J.-W., & Lee, H. (2018). Human capital and income inequality *. Journal of the Asia Pacific Economy, 23(4), 554–583. https://doi.org/10.1080/13547860.2018.1515002
Legewie, J., & Fagan, J. (2019). Aggressive Policing and the Educational Performance of Minority Youth. American Sociological Review, 84(2), 220–247. https://doi.org/10.1177/0003122419826020
Lewaherilla, A. (2025). Transformasi Digital Pendidikan di Tanah Papua: Langkah Kecil, Dampak Besar. https://iptpi.org/opini/read/32/transformasi-digital-pendidikan-di-tanah-papua-langkah-kecil-dampak-besar
Madriz, E. (2023). Nothing Bad Happens to Good Girls. University of California Press. https://doi.org/10.2307/jj.2711565
Pradhan, R. P., Arvin, M. B., Nair, M. S., Hall, J. H., & Bennett, S. E. (2021). Sustainable economic development in India: The dynamics between financial inclusion, ICT development, and economic growth. Technological Forecasting and Social Change, 169, 120758. https://doi.org/10.1016/j.techfore.2021.120758
Rahayu, A. (2005). Ketimpangan Pendidikan di Indonesia. In Journal Ekonomi & Studi Pembangunan (Vol. 6, Issue 1, pp. 21–40).
Rahma, S. F., & Kartiasih, F. (2024). Pengaruh Infrastruktur Transportasi serta Teknologi Informasi dan Komunikasi (TIK) terhadap Ketimpangan Pendidikan di Indonesia. Jurnal Ekonomi Indonesia, 13(2), 153–170. https://doi.org/10.52813/jei.v13i2.453
Setyadi, S. (2022). The Role Of Government Spending In Education Inequality: Evidence From Indonesia With A Panel Data Analysis. Journal of Applied Business, Taxation and Economics Research, 1(6), 667–675. https://doi.org/10.54408/jabter.v1i6.126
Spivakovsky, A., Petukhova, L., Olena, A., Anastasiia, H., Kotkova, V., & Volianiuk, A. (2020). ICT as a key instrument for a balanced system of pedagogical education. CEUR Workshop Proceedings, 2740, 307–321.
Sugeng Setyadi. (2022). Inequality of Education in Indonesia by Gender, Socioeconomic Background and Government Expenditure. EKO-REGIONAL: Jurnal Pembangunan Ekonomi Wilayah, 17. https://doi.org/10.32424/1.erjpe.2022.17.1.2895
Tchamyou, V. S. (2020). Education, lifelong learning, inequality and financial access: evidence from African countries. Contemporary Social Science, 15(1), 7–25. https://doi.org/10.1080/21582041.2018.1433314
Ward, M. D., & Gleditsch, K. S. (2018). Spatial regression models (Vol. 155). Sage Publications.
Yuniar, A., & Yuniasih, A. F. (2022). Pengaruh Kesetaraan Gender terhadap Ketimpangan Capaian Pendidikan di Indonesia Tahun 2015–2019. Jurnal Ekonomi Dan Pembangunan Indonesia, 22(1), 116–130. https://doi.org/10.21002/jepi.2022.07
Zheng, A., & Graham, J. (2022). Public Education Inequality and Intergenerational Mobility. American Economic Journal: Macroeconomics, 14(3), 250–282. https://doi.org/10.1257/mac.20180466
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