Demand for internet services before and during the Covid-19 pandemic: what lessons are we learning in South Africa?
DOI:
https://doi.org/10.20525/ijrbs.v12i7.2781Keywords:
Internet usage, Covid-19 Pandemic, household determinants, Digital inclusion, South AfricaAbstract
The primary aim of this study was to assess the demand for internet services before and during the Covid-19 pandemic, considering the challenges and opportunities brought about by the global health crisis. While the pandemic has had numerous negative impacts on people's lives, it has also facilitated advancements in technology, particularly the adoption of the 4th industrial revolution. To explore the positive impacts of these technological advancements, the study focused on analysing changes in household internet usage using the 2019 and 2021 General Household Survey data obtained from STATS SA. The study examined the shifts in internet usage between the two data sets and found a modest increase in internet usage over time. To further investigate the determinants of household internet usage, the study employed descriptive analysis, cross-tabulations, and a binary logistic regression model. Income, age, household size, and gender were used as independent variables, while internet usage served as the dependent variable. The results revealed that all the independent variables were statistically significant factors influencing the probability of internet usage. Income and household size demonstrated a positive relationship with internet usage, indicating that higher levels of income and larger household sizes were associated with increased demand for internet services. Conversely, the age of the household head showed a negative effect on internet usage, suggesting that as individuals grew older, their likelihood of using the internet decreased. Additionally, the study found that male-headed households exhibited higher levels of internet usage compared to their female counterparts. To ensure that digital inclusion is prioritized, it is crucial for authorities to ensure that internet access is accessible to low-income households. Addressing the disparity in internet usage between higher and lower-income households is essential. Government regulators can encourage broadband providers to expand affordable internet access, while reducing administrative burdens to facilitate network deployment, thereby supporting the current levels of internet usage, and promoting further growth. By considering these findings, policymakers and stakeholders can develop strategies to bridge the digital divide and ensure equal access to internet services for all segments of society. This will contribute to a more inclusive and equitable digital landscape, fostering social and economic development in the medium to long term.
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Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments, 1-16. DOI: https://doi.org/10.1080/10494820.2020.1830121
Aruleba, K., Jere, N., & Matarirano, O. (2022). Technology Adoption Readiness in Disadvantaged Universities during COVID-19 Pandemic in South Africa. International Journal of Higher Education, 11(2). DOI: https://doi.org/10.5430/ijhe.v11n2p172
BBC-WebWise. (2012). BBC - WebWise - What is the internet? http://www.bbc.co.uk/webwise/guides/what-is-the-internet
Benfer, E. A., Mohapatra, S., Wiley, L. F., & Yearby, R. (2019). Health justice strategies to combat the pandemic: Eliminating discrimination, poverty, and health disparities during and after COVID-19. Yale J. Health Pol'y L. & Ethics, 19, 122. DOI: https://doi.org/10.2139/ssrn.3636975
Bokolo, A. J. (2021). Exploring the adoption of telemedicine and virtual software for the care of outpatients during and after the COVID-19 pandemic. Irish Journal of Medical Science (1971-), 190(1), 1-10. DOI: https://doi.org/10.1007/s11845-020-02299-z
Clipper, B. (2020). The influence of the COVID-19 pandemic on technology: Adoption in health care. Nurse Leader, 18(5), 500-503. DOI: https://doi.org/10.1016/j.mnl.2020.06.008
Cohen, C. L., Walker, K. H., Hsiang, M., Sonenthal, P. D., Riviello, E. D., Rouhani, S. A., ... & Kim, E. Y. (2021). Combating information chaos: a case for collaborative clinical guidelines in a pandemic. Cell Reports Medicine, 2(8), 100375. DOI: https://doi.org/10.1016/j.xcrm.2021.100375
Comini, N. (2020). The Effect of COVID-19 Lockdown Measures on Internet Speed: An Empirical Analysis for 18 African Countries. Digital Development Analytical Insight, World Bank, Washington, DC.
Feldmann, A., Gasser, O., Lichtblau, F., Pujol, E., Poese, I., Dietzel, C., ... & Smaragdakis, G. (2021, March). Implications of the COVID-19 Pandemic on the Internet Traffic. In Broadband Coverage in Germany; 15th ITG-Symposium (pp. 1-5). VDE.
Fu, J., & Mishra, M. (2022). Fintech in the time of COVID? 19: Technological adoption during crises. Journal of Financial Intermediation, 50, 100945. DOI: https://doi.org/10.1016/j.jfi.2021.100945
Golin, M. (2021). The effect of broadband internet on the gender gap in mental health: Evidence from Germany. Health Economics. DOI: https://doi.org/10.1002/hec.4570
Lalani, K., Crawford, J., & Butler-Henderson, K. (2021). Academic leadership during COVID-19 in higher education: technology adoption and adaptation for online learning during a pandemic. International Journal of Leadership in Education, 1-17. DOI: https://doi.org/10.1080/13603124.2021.1988716
Mbunge, E., Batani, J., Gaobotse, G., & Muchemwa, B. (2022). Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review. Global Health Journal. DOI: https://doi.org/10.1016/j.glohj.2022.03.001
Mhlanga, D. (2022). The Role of Artificial Intelligence and Machine Learning Amid the COVID-19 Pandemic: What Lessons Are We Learning on 4IR and the Sustainable Development Goals. International Journal of Environmental Research and Public Health, 19(3), 1879. DOI: https://doi.org/10.3390/ijerph19031879
Mhlanga, D., & Beneke, J. (2021). The Fourth Industrial Revolution: Exploring the Determinants of Internet Access in Emerging Economies. Studia Universitatis Babes-Bolyai, 66(3), 77-92. DOI: https://doi.org/10.2478/subboec-2021-0015
Mhlanga, D., & Moloi, T. (2020). COVID-19 and the digital transformation of education: What are we learning on 4IR in South Africa? Education Sciences, 10(7), 180. DOI: https://doi.org/10.3390/educsci10070180
Mukuna, K. R., & Aloka, P. J. (2020). Exploring educators' challenges of online learning in COVID-19 at a rural school, in South Africa. International Journal of Learning, Teaching and Educational Research, 19(10), 134-149. DOI: https://doi.org/10.26803/ijlter.19.10.8
Onyema, E. M., Eucheria, N. C., Obafemi, F. A., Sen, S., Atonye, F. G., Sharma, A., & Alsayed, A. O. (2020). Impact of Coronavirus pandemic on education. Journal of Education and Practice, 11(13), 108-121.
Ren, F., & Kwan, M. P. (2009). The impact of the Internet on human activity-travel patterns: analysis of gender differences using multi-group structural equation models. Journal of Transport Geography, 17(6), 440-450. DOI: https://doi.org/10.1016/j.jtrangeo.2008.11.003
?ahin, F., & ?ahin, Y. L. (2022). Drivers of technology adoption during the COVID-19 pandemic: The motivational role of psychological needs and emotions for pre-service teachers. Social Psychology of Education, 1-26. DOI: https://doi.org/10.1007/s11218-022-09702-w
Shahbaz, M., Bilal, M., Akhlaq, M., Moiz, A., Zubair, S., & Iqbal, H. M. (2020). Strategic measures for food processing and manufacturing facilities to combat the coronavirus pandemic (COVID-19). Journal of Pure and Applied Microbiology, 14(2), 1087-1094. DOI: https://doi.org/10.22207/JPAM.14.2.01
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