Determinants of a digital divide in Sub-Saharan Africa: a spatial econometric analysis of cell phone coverage

Piet Buys, Susmita Dasgupta, Tim Thomas and David Wheeler

No 4516, Policy Research Working Paper Series from The World Bank

Abstract: Most discussions of the digital divide treat it as a"North-South"issue, but the conventional dichotomy doesn't applyto cell phones in Sub-Saharan Africa. Although almost all Sub-Saharan countries are poor by international standards, they exhibit great disparities in coverage by cell telephone systems. Buys, Dasgupta, Thomas and Wheeler investigate the determinants of these disparities with a spatially-disaggregated model that employs locational information for cell-phone towers across over 990,000 4.6-km grid squares in Sub-Saharan Africa. Using probit techniques, a probability model with adjustments for spatial autocorrelation has been estimated that relates the likelihood of cell-tower location within a grid square to potential market size (proximate population); installation and maintenance cost factors related to accessibility (elevation, slope, distance from a main road, distance from the nearest large city); and national competition policy. Probit estimates indicate strong, significant results for the supply-demand variables, and very strong results for the competition policy index. Simulations based on the econometric results suggest that a generalized improvement in competition policy to a level that currently characterizes the best-performing states in Sub-Saharan Africa could lead to huge improvements in cell-phone area coverage for many states currently with poor policy performance, and an overall coverage increase of nearly 100 percent.

Keywords: E-Business; ICT Policy and Strategies; Population Policies; Technology Industry; Geographical Information Systems (search for similar items in EconPapers)
Date: 2008-02-01
New Economics Papers: this item is included in nep-afr
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Journal Article: Determinants of a Digital Divide in Sub-Saharan Africa: A Spatial Econometric Analysis of Cell Phone Coverage (2009)
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