Home / Current Issue / Paper 1708727
ICT and Labor Market Outcomes in Rwanda: Evidence from 2000?2023 Time-Series Data
Subject area: Science,Engineering and Technology · Area of research: Digital Transformation and Employment
Abstract
The promise that digital technologies will reduce unemployment and drive inclusive growth is widely accepted but often untested in the context of low-income, informally structured economies. This study examines whether the rapid spread of internet use, mobile connectivity, and broadband access has delivered employment gains in Rwanda, a country positioning itself as a regional digital hub. Using data from 2000 to 2023, we apply time-series econometric models including Vector Auto regression (VAR), Structural VAR (SVAR), Impulse Response Functions (IRFs), Granger causality, and Instrumental Variable (IV) regression to measure short- and long-term effects of ICT adoption on employment. Findings show that broadband expansion is initially associated with rising unemployment, reflecting disruption and skills mismatches in the labor market. Meanwhile, internet and mobile adoption exhibit bidirectional causality with unemployment, signaling simultaneous processes of job creation and displacement. The analysis finds no consistent short-term effect of ICT on GDP growth, reinforcing the view that infrastructure alone is insufficient to generate broad-based employment. The study contributes new evidence to the Digital Labor Ecosystem and Structural Digital Inequality frameworks, showing that ICT?s labor market effects depend on institutional readiness, digital skills, and regulation of informal digital work. The findings challenge assumptions that ICT adoption inherently reduces unemployment, and instead point to the need for targeted policy interventions particularly digital skills development, labor formalization, and gig economy regulation to align digital progress with inclusive labor market outcomes.
Keywords
Digital transformation, ICT adoption, unemployment, broadband penetration, mobile connectivity, internet access, digital labor ecosystem, structural digital inequality, time-series econometrics, Rwanda
References
[1] Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. doi:https://doi.org/10.1086/705716
[2] Amadou, B., Mohammadou, N., & Mohamadou, A. (2024). Effect of ICT adoption on gender inequalities in access to employment in sub-Saharan Africa. Journal of Income Distribution, 12(10), 14. doi:https://doi.org/10.2139/ssrn.4998038
[3] Angrist, J. D., & Krueger, A. B. (1991). Does compulsory school attendance affect schooling and earnings? Quarterly Journal of Economics, 106(4), 979–1014. https://doi.org/10.2307/2937954.
[4] Asongu, S. A., & Odhiambo, N. M. (2023). Broadband and inclusive development in sub-Saharan Africa: The role of governance. Telecommunications Policy, 47 (1), 102409. doi:https://doi.org/10.1016/j.telpol.2022.102409
[5] Astuti, H. M., & Ayinde, L. A. (2025). Uneven progress: Analyzing the factors behind digital technology adoption rates in Sub-Saharan Africa. Data & Policy, 7(3). doi:https://doi.org/10.1017/dap.2024.89
[6] Banga, K., & te Velde, D. W. (2022). Digitalisation and the future of work in Africa: Assessing pathways to job creation. Overseas Development Institute. Retrieved from https://odi.org/en/publications/digitalisation-and-the-future-of-work-in-africa-assessing-pathways-to
[7] Begazo, T., Blimpo, M. P., & Dutz, M. A. (2023). Digital Africa: Technological transformation for jobs. Washington, DC: World Bank. Retrieved from https://www.worldbank.org/en/region/afr/publication/digital-africa
[8] Berger, T., & & Frey, C. B. (2019). The digitalization of African economies: A tale of job creation and destruction. Economics of Innovation and New Technology, 28(7), 720–740. doi:https://doi.org/10.1080/10438599.2019.1578727
[9] Bessen, J. E. (2020). AI and jobs: The role of demand. doi:https://doi.org/10.3386/w24235
[10] Cheng, Y., & Deng, Z. (2021). Regulating the gig economy in developing countries: A case study of sub-Saharan Africa. Journal of African Law, 65(2), 261–284. doi:https://doi.org/10.1017/S0021855321000153
[11] Comin, D., & Mestieri, M. (2018). If technology has arrived everywhere, why has income diverged? American Economic Journal: Macroeconomics, 10 (3), 137–178. doi:https://doi.org/10.1257/mac.20150103
[12] Dutta, S., Lanvin, B., & Wunsch-Vincent, S. (2023). The Global Innovation Index 2023: Innovation in the face of uncertainty. World Intellectual Property Organization. doi:https://doi.org/10.34667/tind.46596
[13] Forman, C., Goldfarb, A., & Greenstein, S. (2018). How geography shapes—and is shaped by—the internet. The Handbook of Economic Geography, 2, 269-292. doi:https://doi.org/10.1093/oxfordhb/9780198755609.013.12
[14] Freeman, C., & Soete, L. (2021). Digital transformation and labor markets: New evidence from innovation economics. Industrial and Corporate Change, 30(6), 1395–1416. doi:https://doi.org/10.1093/icc/dtab046
[15] Hjort, J., & Poulsen, J. (2019). The arrival of fast internet and employment in Africa. American Economic Review, 109 (3), 1032–1079. doi:https://doi.org/10.1257/aer.20161385
[16] International Telecommunication Union. (2023). Individuals using the Internet (% of population) – Rwanda. Retrieved from ITU Data Hub: https://datahub.itu.int/data/?e=1&i=11624
[17] Kässi, O., & Lehdonvirta, V. (2021). Online labour index: Measuring the online gig economy for policy and research. Technological Forecasting and Social Change, 137, 241–248. doi:https://doi.org/10.1016/j.techfore.2018.07.012
[18] Koutroumpis, P. (2019). The economic impact of broadband on growth: A simultaneous approach. Telecommunications Policy, 43(10), 101856. doi:https://doi.org/10.1016/j.telpol.2019.101856
[19] Liang, J. S., Mundy, R., & Jagwayan, S. (2024). E-Commerce in Africa: Divergent Impacts on Rural and Urban Economies. arXiv preprint, 1-10. doi:https://doi.org/10.48550/arXiv.2412.03879
[20] Mowery, D. C., & Simcoe, T. S. (2021). Is the digital revolution over? Technological change and employment in the age of AI. Research Policy, 50(7), 104264. doi:https://doi.org/10.1016/j.respol.2021.104264
[21] Mugabe, R. K., Shulin, L., & Sesay, B. (2022). ICT development, innovation diffusion and sustainable growth in Sub-Saharan Africa. SAGE Open, 12 (4). doi:https://doi.org/10.1177/21582440221123894
[22] National Institute of Statistics of Rwanda. (2023). Labour force survey: Annual report 2023. Kigali, Rwanda: National Institute of Statistics of Rwanda. Retrieved from https://www.statistics.gov.rw/publication/labour-force-survey-annual-report-2023
[23] Ndubuisi, G., Otioma, C., & Tetteh, G. K. (2021). Digital infrastructure and employment in services: Evidence from Sub-Saharan Africa. Telecommunications Policy, 45 (8), 102153. doi:https://doi.org/10.1016/j.telpol.2021.102153
[24] Osabohien, R. (2024). ICT adoption and youth employment in Nigeria’s agricultural sector. African Journal of Economic and Management Studies, 15(2), 123–140. doi:https://doi.org/10.1108/AJEMS-06-2024-0580
[25] Rakotondrazaka, T. H. (2024). Impact of digital trade on the employment situation in Africa. European Journal of Development Studies, 4(4), 30–42. doi:https://doi.org/10.24018/ejdevelop.2024.4.4.380
[26] Rani, U., Ramaswamy, M., & Bhattacharya, A. (2022). The gig economy in Africa: Challenges and opportunities. Journal of African Economies, 31(4), 529–542. doi:https://doi.org/10.1093/jae/ejac009
[27] Rwanda Utilities Regulatory Authority. (2024a). Mobile-cellular telephone subscriptions report as of February 2024. Kigali, Rwanda: Rwanda Utilities Regulatory Authority. Retrieved from https://rura.rw/fileadmin/Documents/ICT/statistics/Mobile-cellular_telephone_subscriptions_report_as_of_February_2024.pdf
[28] Rwanda Utilities Regulatory Authority. (2024b). Statistics report for telecom, media, and broadcasting sector as of the second quarter of the year 2024. Kigali, Rwanda: Rwanda Utilities Regulatory Authority. Retrieved from https://rura.rw/fileadmin/Documents/ICT/statistics/Statistics_Report_for_Telecom__Media_and_Broadcasting_Sector_as_of_the_Second_Quarter_of_the_Year_2024.pdf
[29] World Bank. (2024). Rwanda Economic Update: Accelerating skills development. World bank. Retrieved from https://documents1.worldbank.org/curated/en/099091624124019078/pdf/P5009161a3d0280e41ab981ecfa5db82c0a.pdf?_gl=1*1i6y2ln*_gcl_au*MTMyNjYxNjU4My4xNzI2NTg0Njk5
How to cite this paper
@article{1708727,
author = {Mukasa Stanley, Aliyu Umar },
title = {ICT and Labor Market Outcomes in Rwanda: Evidence from 2000?2023 Time-Series Data},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {11},
pages = {1680-1692},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708727.pdf},
abstract = {The promise that digital technologies will reduce unemployment and drive inclusive growth is widely accepted but often untested in the context of low-income, informally structured economies. This study examines whether the rapid spread of internet use, mobile connectivity, and broadband access has delivered employment gains in Rwanda, a country positioning itself as a regional digital hub. Using data from 2000 to 2023, we apply time-series econometric models including Vector Auto regression (VAR), Structural VAR (SVAR), Impulse Response Functions (IRFs), Granger causality, and Instrumental Variable (IV) regression to measure short- and long-term effects of ICT adoption on employment. Findings show that broadband expansion is initially associated with rising unemployment, reflecting disruption and skills mismatches in the labor market. Meanwhile, internet and mobile adoption exhibit bidirectional causality with unemployment, signaling simultaneous processes of job creation and displacement. The analysis finds no consistent short-term effect of ICT on GDP growth, reinforcing the view that infrastructure alone is insufficient to generate broad-based employment. The study contributes new evidence to the Digital Labor Ecosystem and Structural Digital Inequality frameworks, showing that ICT?s labor market effects depend on institutional readiness, digital skills, and regulation of informal digital work. The findings challenge assumptions that ICT adoption inherently reduces unemployment, and instead point to the need for targeted policy interventions particularly digital skills development, labor formalization, and gig economy regulation to align digital progress with inclusive labor market outcomes.},
keywords = {Digital transformation, ICT adoption, unemployment, broadband penetration, mobile connectivity, internet access, digital labor ecosystem, structural digital inequality, time-series econometrics, Rwanda},
month = {May},
}