MUTUAL FEEDBACK SHOCKS BETWEEN ICT AND POVERTY IN SOUTH AFRICA

Authors

DOI:

https://doi.org/10.63356/ace.2025.009

Keywords:

information and communication technology, poverty, causality, vector error correction method, variance decomposition

Abstract

This study delves into the intricate relationship between information and communication technology (ICT) and poverty in the context of South Africa, exploring the mutual feedback shocks that dynamically shape both domains using data from World Development Indicators for the period 1990-2021. Employing a comprehensive analytical framework, the study investigates how advancements in ICT, an index of computers, mobile phones and internet, influence poverty rates, proxied by head count ratio, in the short run and long run and, conversely, how the socio-economic conditions associated with poverty feedback into the ICT landscape. Correlation test, granger causality test, co-integration test and VAR/VECM models were utilised in an endeavor to seek answers to the questions. The empirical results showed that there is a relationship, with ICT truly causing poverty in South Africa. The VAR/VECM established that there exists a long run relationship between ICT and poverty in South Africa, at 10% significance level, and the variance decomposition further confirmed some significant short run feedback shocks between ICT and poverty. It is highly recommended that the South African government put in place sound and friendly ICT policies, more especially to the marginalised and poor townships where a lot of SMMEs are trying to thrive. Skills development and an increase in public expenditure on ICT is recommended, as an effort to eradicate poverty through ICT. Through empirical analysis, the complex dynamics that underscore this mutual feedback loop were exposed, shedding light on the potential mechanisms for breaking the cycle of poverty through strategic ICT interventions. This research not only contributes to the academic discourse on technology and development but also provides practical insights for policymakers and stakeholders seeking sustainable strategies to address poverty challenges in South Africa.

References

Akinboade, O.A., Ziramba, E. & Kinfack, E.C., (2022). ICTs and poverty reduction in South Africa: Evidence from time-series analysis. Journal of African Development, 24(1), 1–22.

Bennet, M., Kallus, N. & Schnabel, T., (2019). Data-driven estimation of inverse covariance matrices for high-dimensional VAR models. Journal of Econometrics, 212(1),144–163.

Caceres, L.R., (2007). The impact of ICT on economic growth in developing countries. International Economic Journal, 21(2), 219–239.

Chang, J., Lee, M. & Park, Y., (2022). The dynamic interaction between ICT and poverty: A VAR approach. Journal of Development Studies, 58(6), 789–807.

David, B., (2017). Impulse response analysis in vector autoregressive models. Econometrics Journal, 20(2), 112–125.

David, B., (2023). Short-run and long-run dynamics of ICT and economic indicators in emerging economies. African Economic Review, 35(3), 203–221.

David, O.O., (2019). Information and communication technology and economic growth in Africa. Telecommunications Policy, 43(7), 1019–1028.

Dickey, D.A. & Fuller, W.A., (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366), 427–431. https://doi.org/10.2307/2286348 DOI: https://doi.org/10.1080/01621459.1979.10482531

Erum, N. & Hussain, S., (2019). Corruption, market size and ICT in OIC countries: A panel data analysis. Journal of Economic Studies, 46(5), 1037–1054. https://doi.org/10.1016/j.resourpol.2019.101429 DOI: https://doi.org/10.1016/j.resourpol.2019.101429

Fernandez-Portillo, A., Almodovar-Gonzalez, M., Diaz-Casero, J.C. & Sánchez-Escobedo, M.C., (2019). Impact of ICT on competitiveness, innovation and environment in SMEs: A systematic review. Sustainability, 11(21), 1–20.

Gujarati, D.N., (2022). Econometrics by Example. 4th ed. Palgrave Macmillan.

Howard, J. & Horn, A., (2014). The impact of ICTs on poverty in Africa: A review of current literature. African Journal of Information and Communication, 14(1), 40–56.

Ishida, H., (2015). The effect of ICT development on economic growth and energy consumption in Japan. Telematics and Informatics, 32(1), 79–88. https://doi.org/10.1016/j.tele.2014.04.003 DOI: https://doi.org/10.1016/j.tele.2014.04.003

Landau, R. & Rosenberg, N., (1986). The positive sum strategy: Harnessing technology for economic growth. Washington, DC: National Academy Press.

Masango, C., (2017). Challenges in the implementation of ICT policy in South Africa. Journal of African Media Studies, 9(2), 243–257.

Masango, C., Van Ryneveld, H. & Graham, M., (2017). Challenges in the implementation of ICT policy in South Africa: Perspectives from the SMME sector. South African Journal of Information Management, 19(1), 1–9.

Masango, C., Van Ryneveld, H. & Graham, M., (2022). ICT for development in Southern Africa: Challenges and policy frameworks. Development Southern Africa, 39(4), 571–586.

Mateko, B., (2024). The Relationship Between ICT and Poverty in Developing Economies: A South African Perspective. University of South Africa Press, Pretoria.

May, J., (2012). ICT access and usage in poor rural communities: Findings from surveys in South Africa. Information Technologies & International Development, 8(2), pp.1–14.

Moodley, S., (2005). The promise of information and communication technology for reducing poverty in South Africa. Development Southern Africa, 22(2), 229–244.

Olamide, A.O., Kazeem, B.A., Mbatha, T. & Ndlela, L.L., (2022). Information and Communication Technologies and sustainable development in Southern Africa. African Journal of Economic Policy, 29(3), 119–140.

Raheem, I.D., Tiwari, A.K. & Balsalobre-Lorente, D., (2020). ICT and income inequality: Evidence from emerging economies. Telecommunications Policy, 44(5), 1–13.

Romer, P.M., (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1037. https://doi.org/10.1086/261420 DOI: https://doi.org/10.1086/261420

Saidi, K. & Mongi, C., (2018). Effect of ICT on economic growth and environment in African countries. Telecommunications Policy, 42(7), 513–522.

Schumpeter, J.A., (1928). The instability of capitalism. The Economic Journal, 38(151), 361–386. https://doi.org/10.2307/2224315 DOI: https://doi.org/10.2307/2224315

Seleteng, M., (2016). Investigating the Causal Relationship Between ICT and Poverty in Southern Africa: A Time Series Approach. African Development Review, 28(3), 312–324.

Spiezia, V., (2013). ICT investments and productivity: Measuring the contribution of ICTs to growth. OECD Journal: Economic Studies, 2013(1), 1–19. https://doi.org/10.1787/eco_studies-v2012-1-en. DOI: https://doi.org/10.1787/eco_studies-v2012-1-en

StatsSA, (2022a). Poverty trends in South Africa: An examination of absolute poverty between 2006 and 2020. Statistics South Africa, Pretoria.

Thabo, M., (2003). The dark side of ICTs in Africa: A critique on access and affordability. Journal of African Development, 6(2), 55–70.

Tripathi, N., (2011). Econometric Models and Techniques. Discovery Publishing House, New Delhi.

World Bank, (2020). Poverty and Shared Prosperity 2020: Reversals of Fortune. World Bank Group. Washington, DC.

World Development Indicators, (2022). World Development Indicators Database. The World Bank. Washington, DC. https://databank.worldbank.org/source/world-development-indicators

Yucel, E., (2022). Cointegration Analysis and Error Correction Models: Theory and Practice. Economics Research Institute Publications, Istanbul.

Downloads

Published

2025-06-25

Issue

Section

Review Scientific Paper

How to Cite

MUTUAL FEEDBACK SHOCKS BETWEEN ICT AND POVERTY IN SOUTH AFRICA. (2025). Acta Economica, 23(42), 197-214. https://doi.org/10.63356/ace.2025.009

Similar Articles

1-10 of 150

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

<< < 1 2 3 4 5 6 7 8 9 10 > >>