Empirical evidence on the impact of privatization of fixed-line operators on telecommunications performance - Comparing OECD, Latin American, and African countries
AbstractThe aim of this paper is to highlight empirically some important worldwide differences in the impact of privatization of the fixed-line telecommunications operator on network expansion, tariffs, and efficiency during the 1985-2007 period for a large panel of countries. Our work suggests that the divergent results in the empirical literature on the performance of the privatization reform can be explained to a large extent by cross-regional heterogeneity. We find that the impact of privatization on outcomes is significantly positive in OECD and African resource scarce coastal countries, weakly positive in Latin American and the Caribbean countries, and strongly negative in African resource rich and African resource scarce landlocked countries. The results presented in this paper thus challenge the idea that there is a unique model of reform for infrastructure sectors that is equally applicable across regions and countries.
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Bibliographic InfoPaper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 11-241.
Date of creation: Feb 2011
Date of revision:
Other versions of this item:
- Gasmi, Farid & Maingard, Alexis & Noumba Um, Paul & Recuero Virto, Laura, 2011. "Empirical evidence on the impact of privatization of fixed-line operators on telecommunications performance - Comparing OECD, Latin American, and African countries," IDEI Working Papers 660, Institut d'Économie Industrielle (IDEI), Toulouse.
- L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
- L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
- L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
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