A nexus of access to information and household poverty post Covid-19
Hannah M Dunga ORCID ↗
International Journal of Business Ecosystem & Strategy · 2025 · Vol. 7 / Issue 2 · 250-259
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 00:14 UTC
Observed 21 Oct 2026 00:14 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
The COVID-19 pandemic has highlighted the critical role of access to information in determining socioeconomic outcomes, especially in the context of poverty alleviation. This study explores the nexus between access to information and poverty in South Africa, emphasizing the role of digital connectivity in socio-economic development using data from the General Household Survey (GHS) 2023 collected by STATSSA. Through logistic regression analysis, the study examines the impact of internet access and other information channels on poverty levels, with a particular focus on marginalized groups, including female-headed households. Using regression analysis and descriptive statistics, the findings reveal that access to internet services significantly influences household poverty levels. Households with access to mobile internet, Wi-Fi, and other forms of digital connectivity are less likely to experience poverty, highlighting the critical role of technology in improving access to education, employment, and government services. However, significant disparities persist, with approximately 29% of households lacking mobile internet and over 93% without access to public Wi-Fi, exacerbating the digital divide, particularly in rural and low-income communities. The results further indicate that socio-demographic factors, including age, gender, race, and household size, intersect with digital access to shape poverty outcomes. Female-headed and black households are disproportionately affected by poverty, reflecting broader structural inequalities. Limited access to technology among these groups amplifies their vulnerability, emphasizing the urgent need for targeted interventions. The results underscore the importance of addressing information disparities to promote financial inclusion and drive sustainable development in the post-pandemic era. This paper provides evidence-based insights for policymakers to develop targeted interventions that bridge the digital divide and support vulnerable populations in South Africa. The study concludes that improving digital inclusion is essential for addressing poverty, fostering economic mobility, and reducing inequality in the post-COVID-19 era. It calls for policy efforts to enhance internet accessibility and bridge the digital divide, particularly for marginalized populations.
Keywords: {'name': 'Access to information'}, {'name': 'poverty'}, {'name': 'postcovid-19'}, {'name': 'digital divide'}
Authors & affiliations
Hannah M Dunga
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
Adebayo, B., Odusanya, L., & Abiodun, T. (2021). Gender and access to digital information during COVID-19 in Africa: Implications for policy. Journal of Development Studies, 57(4), 564-580.
A4AI (Alliance for Affordable Internet). (2020). The affordability report 2020.
Basu, S., & Lee, M. (2019). Digital access and poverty reduction in the global South. Information Systems Journal, 29(3), 482-503.
Casale, D., & Posel, D. (2020). Gender and the early effects of the COVID-19 crisis in the paid and unpaid economies in South Africa. National Income Dynamics Study (NIDS) – Coronavirus Rapid Mobile Survey (CRAM) Report.
Castells, M. (2011). The rise of the network society: The information age: Economy, society, and culture (Vol. 1). Wiley-Blackwell.
DOI: 10.1108/IJGE-09-2012-0035
DOI: 10.1002/jid.1717
DOI: 10.1016/j.giq.2014.09.001
Gillwald, A., Mothobi, O., & Rademan, B. (2018). The State of ICT in South Africa (Policy Paper No. 5; Series 5: After Access-Assessing Digital Inequality in Africa). Research ICT Africa.
Hargittai, E., Piper, A. M., & Morris, M. R. (2021). The pandemic, information access, and the role of digital inequalities. New Media & Society, 23(8), 2304-2325.
DOI: 10.1016/j.telpol.2016.01.006
DOI: 10.1177/0266666916678282
DOI: 10.1016/j.wsif.2011.07.001
DOI: 10.20525/ijrbs.v12i4.2438
DOI: 10.3390/educsci12070464
DOI: 10.20525/ijrbs.v12i7.2781
DOI: 10.1016/j.ijsu.2020.04.018
Statistics South Africa. (2020). Gender statistics in South Africa, 2020. Statistical Release. Pretoria: STATSSA.
DOI: 10.12987/yale/9780300108927.001.0001
Sen, A. (1999). Development as freedom. Oxford University Press.
DOI: 10.1177/0002716210362077
Statistics South Africa. (2023). National poverty lines (Statistical release P0310, Issue August). www.statssa.gov.za
Smith, J., Brossard, D., & Gunther, A. (2020). The role of information in global poverty reduction strategies. Global Communication Journal, 12(2), 112-128.
South African Government. (2020). Digital inclusion and broadband access in South Africa: Addressing the digital divide.
Kularski, C., & Moller, S. (2012). The digital divide as a continuation of traditional systems of inequality. Sociology, 47(1), 5–24.
UNDP. (2020). COVID-19 and the socioeconomic impacts on the poorest communities. United Nations Development Programme.
UNESCO. (2021). The digital divide: Pandemic exposes inequalities in access to information. United Nations Educational, Scientific and Cultural Organization.
UNESCO. (2021). The role of digital technologies in fostering equitable recovery from COVID-19.
van Dijk, J. (2020). The digital divide: The internet and social inequality in international perspective. Polity Press.
DOI: 10.1177/1461444818797082
World Bank. (2020). World development report 2020: Trading for development in the age of global value chains. World Bank Group.
DOI: 10.35188/UNU-WIDER/2023/431-1