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Digitalization and economic growth: A comparative analysis of Sub-Saharan Africa and OECD economies
Abstract
This paper examines the contribution of digitalization to economic growth of Sub Saharan Africa (SSA) in comparison with the Organization for Economic Cooperation and Development (OECD) economies. The main reason for comparing the most and the least developed countries to measure the effects of digitalization is to have an insight of whether such effects depend on the levels of development of the country. New technologies in Sub Saharan Africa are assumed to have played significant roles in economic activity, including accessibility of communications, which was impeded by poor infrastructure, accommodation of the poor majority who were initially financially excluded from mobile banking and participation of small and medium enterprises (SMEs) in e-commerce. On the other hand, due to the effects of digitalization, least developed countries in SSA have been facing a premature deindustrialization.
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Cites
A contribution to the theory of economic growth
Solow, R. M. (1956) · The Quarterly Journal of Economics · doi:10.2307/1884513 · Cited by 24,483
On the mechanics of economic development
Lucas, R. E. (1988) · Journal of Monetary Economics · doi:10.1016/0304-3932(88)90168-7 · Cited by 24,085
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Rodrik, D. (2016) · Journal of Economic Growth · doi:10.1007/s10887-015-9122-3 · Cited by 2,236
Telecommunications Infrastructure and Economic Development: A Simultaneous Approach
Röller, L.-H., & Waverman, L. (2001) · American Economic Review · doi:10.1257/aer.91.4.909 · Cited by 1,815
New Technologies, Global Value Chains, and Developing Economies
Rodrik, D. (2018) · doi:10.3386/w25164 · Cited by 382
Hofman, A., Aravena, C., & Aliaga, V. (2016) · Telecommunications Policy · doi:10.1016/j.telpol.2016.02.002 · Cited by 105
Cited by
Digital economy: An innovation driving factor for low-carbon development
Zhang, J., Lyu, Y., Li, Y., & Geng, Y. (2022) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2022.106821 · Cited by 567
Study on the effect of digital economy on high-quality economic development in China
Zhang, W., Zhao, S., Wan, X., & Yao, Y. (2021) · PLOS ONE · doi:10.1371/journal.pone.0257365 · Cited by 417
The impact of digital technology usage on economic growth in Africa
Solomon, E. M., & van Klyton, A. (2020) · Utilities Policy · doi:10.1016/j.jup.2020.101104 · Cited by 269
A spatial analysis of the digital gender gap in South Africa: Are there any fundamental differences?
Shiferaw, Y. A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123443 · Cited by 14
Metadata
- Authors
- Myovella, G., Karacuka, M., & Haucap, J.
- Venue
- Telecommunications Policy
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 44
- Issue
- 2
- Pages
- 101856
- ISSN
- 0308-5961 (ISSN-L)
- OpenAlex
- W2976934918
- Cited by
- 704
- References
- 8
- FWCI
- 26.76
- Type
- journal article
- Language
- en
- Open access
- closed
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