Revisiting electric utilities’ efficiency in the Southern African Power Pool, 1998–2009

  1. Ramos Real, F.J. 1
  2. Tovar, B. 2
  1. 1 Universidad de La Laguna

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    GRID grid.10041.34

  2. 2 Universidad Las Palmas de Gran Canaria
Journal of Energy in Southern Africa

ISSN: 1021-447X

Year of publication: 2020

Volume: 31

Issue: 1

Pages: 1-13

Type: Article

Export: RIS
DOI: 10.17159/2413-3051/2020/v31i1a7670 GOOGLE SCHOLAR lock_openOpen access editor


Cited by

  • Scopus Cited by: 1 (19-10-2021)

JCR (Journal Impact Factor)

  • Year 2020
  • Journal Impact Factor: 0.661
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  • Year 2020
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This study analyses the determinants of the technical efficiency performance for Southern African Power Pool (SAPP) power utilities in the period 1998-2009, excluding South Africa’s Eskom. The study formulated an explicit model for technical inefficiency by considering the vertical structure of the utilities and the definition of the product, considering the specific characteristics of this sample. It was found that the most significant improvement in the average efficiency of the sample occurred from 2000 to 2002, coinciding with the first SAPP Energy Plan of 2001. Density in consumption, control of corruption and load factor also contributed to the different levels of efficiency. The results provided a new empirical evidence that can be useful for the design of energy policy and incentive regulation.

Bibliographic References

  • (2010). Statistics, Retrieved from
  • (2011). African Development Bank.BP 323-1002 Tunis Belvédère, TUNISIA, Retrieved from
  • Exclusive interview with dr lawrence musaba, coordination centre manager of the southern african power pool. (2016). (1) Retrieved from
  • World bank. (2003). World Bank, Retrieved from
  • Banker, R. D., & Natarajan, R. (2008). Evaluating contextual variables affecting productivity using data envelopment analysis. Operations Research, 56(1), 48-58. doi:10.1287/opre.1070.0460
  • Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325-332. doi:10.1007/BF01205442
  • Bogetoft, P., & Otto, L. (2011). Benchmarking with DEA, SFA, and R. Benchmarking with DEA, SFA, and R, Retrieved from
  • Chang, V., & Tovar, B. (2014). Drivers explaining the inefficiency of peruvian and chilean ports terminals. Transportation Research Part E: Logistics and Transportation Review, 67, 190-203. doi:10.1016/j.tre.2014.04.011
  • Coelli, T., & Perelman, S. (2000). Technical efficiency of european railways: A distance function approach. Applied Economics, 32(15), 1967-1976. doi:10.1080/00036840050155896
  • Coelli, T. J., Prasada Rao, D. S., O'Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. An introduction to efficiency and productivity analysis (pp. 1-349) doi:10.1007/b136381 Retrieved from
  • Eberhard, A., & Shkaratan, M. (2012). Powering africa: Meeting the financing and reform challenges. Energy Policy, 42, 9-18. doi:10.1016/j.enpol.2011.10.033
  • Escribano, A., Guasch, J. L., & Pena, J. (2010). Assessing the impact of infrastructure quality on firm productivity in africa: Cross-country comparisons based on investment climate surveys from 1999 to 2005. Assessing the Impact of Infrastructure Quality on Firm Productivity in Africa: Cross-Country Comparisons Based on Investment Climate Surveys from 1999 to 2005, Retrieved from
  • Estache, A., Tovar, B., & Trujillo, L. (2008). How efficient are african electricity companies? evidence from the southern african countries. Energy Policy, 36(6), 1969-1979. doi:10.1016/j.enpol.2008.02.011
  • Gilsdorf, K. (1995). Testing for subadditivity of vertically integrated electric utilities. Southern Economic Journal, 62(1), 126-138. doi:10.2307/1061381
  • Gilsdorf, K. (1994). Vertical integration efficiencies and electric utilities: A cost complementarity perspective. Quarterly Review of Economics and Finance, 34(3), 261-282. doi:10.1016/1062-9769(94)90027-2
  • Greene, W. (2005). Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis, 23(1), 7-32. doi:10.1007/s11123-004-8545-1
  • Greene, W. (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126(2), 269-303. doi:10.1016/j.jeconom.2004.05.003
  • Jamasb, T., Mota, R., Newbery, D., & Pollitt, M. (2005). 'Electricity sector reform in developing countries: A survey of empirical evidence on determinants and performance'. Electricity Sector Reform in Developing Countries: A Survey of Empirical Evidence on Determinants and Performance, Retrieved from
  • Jamasb, T., Newbery, D., & Pollitt, M. (2004). Core Indicators for Determinants and Performance of Electricity Sector in Developing Countries, Retrieved from
  • Jara-Díaz, S., & Ramos-Real, F. J. (2011). The effect of output specification on the optimal policy design for electric utilities. Journal of Regulatory Economics, 40(1), 62-81. doi:10.1007/s11149-011-9148-1
  • Jara-Díaz, S., Ramos-Real, F. J., & Martínez-Budría, E. (2004). Economies of integration in the spanish electricity industry using a multistage cost function. Energy Economics, 26(6), 995-1013. doi:10.1016/j.eneco.2004.05.001
  • Jaunky, V. C. (2013). Divergence in technical efficiency of electric utilities: Evidence from the SAPP. Energy Policy, 62, 419-430. doi:10.1016/j.enpol.2013.07.113
  • Karekezi, S., & Kimani, J. (2002). Status of power sector reform in africa: Impact on the poor. Energy Policy, 30(11-12), 923-945. doi:10.1016/S0301-4215(02)00048-4
  • Kaufmann, D., Kraay, A., & Mastruzzi, M. (2010). Worldwide Governance Indicators, Retrieved from
  • Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic Frontier Analysis, Retrieved from
  • Kuosmanen, T. (2012). Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the finnish regulatory model. Energy Economics, 34(6), 2189-2199. doi:10.1016/j.eneco.2012.03.005
  • Kwoka, J. E. (2002). Vertical economies in electric power: Evidence on integration and its alternatives. International Journal of Industrial Organization, 20(5), 653-671. doi:10.1016/S0167-7187(00)00114-4
  • Leme, R. C., Paiva, A. P., Steele Santos, P. E., Balestrassi, P. P., & Galvão, L. D. L. (2014). Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The brazilian case. Energy Economics, 45, 111-119. doi:10.1016/j.eneco.2014.06.017
  • Martínez-Budría, E., Jara-Díaz, S., & Ramos-Real, F. J. (2003). Adapting productivity theory to the quadratic cost function. an application to the spanish electric sector. Journal of Productivity Analysis, 20(2), 213-229. doi:10.1023/A:1025184306832
  • Pérez-Reyes, R., & Tovar, B. (2010). Explaining the inefficiency of electrical distribution companies: Peruvian firms. Energy Economics, 32(5), 1175-1181. doi:10.1016/j.eneco.2010.02.002
  • Pombo, C., & Taborda, R. (2006). Performance and efficiency in colombia's power distribution system: Effects of the 1994 reform. Energy Economics, 28(3), 339-369. doi:10.1016/j.eneco.2005.08.001
  • Ramos-Real, F. J. (2005). Cost functions and the electric utility industry. A contribution to the debate on deregulation. Energy Policy, 33(1), 69-87. doi:10.1016/S0301-4215(03)00200-3
  • Ramos-Real, F. J., Tovar, B., Iootty, M., de Almeida, E. F., & Pinto Jr., H. Q. (2009). The evolution and main determinants of productivity in brazilian electricity distribution 1998-2005: An empirical analysis. Energy Economics, 31(2), 298-305. doi:10.1016/j.eneco.2008.11.002
  • Rodríguez-Álvarez, A., & Tovar, B. (2012). Have spanish port sector reforms during the last two decades been successful? A cost frontier approach. Transport Policy, 24, 73-82. doi:10.1016/j.tranpol.2012.06.004
  • Rodríguez-Álvarez, A., Tovar, B., & Trujillo, L. (2007). Firm and time varying technical and allocative efficiency: An application to port cargo handling firms. International Journal of Production Economics, 109(1-2), 149-161. doi:10.1016/j.ijpe.2006.12.048
  • Sebitosi, A. B., & Okou, R. (2010). Re-thinking the power transmission model for sub-saharan africa. Energy Policy, 38(3), 1448-1454. doi:10.1016/j.enpol.2009.11.025
  • Thanassoulis, E. (2002). Comparative performance measurement in regulation: The case of english and welsh sewerage services. Journal of the Operational Research Society, 53(3), 292-302. doi:10.1057/palgrave.jors.2601160
  • Tovar, B., Jara-Díaz, S., & Trujillo, L. (2003). Cost and Production Functions in Port Sector: A Literature Review, Retrieved from
  • Tovar, B., Javier Ramos-Real, F., & de Almeida, E. F. (2011). Firm size and productivity. evidence from the electricity distribution industry in brazil. Energy Policy, 39(2), 826-833. doi:10.1016/j.enpol.2010.11.001
  • Tovar, B., & Martín-Cejas, R. R. (2009). Are outsourcing and non-aeronautical revenues important drivers in the efficiency of spanish airports? Journal of Air Transport Management, 15(5), 217-220. doi:10.1016/j.jairtraman.2008.09.009
  • Tovar, B., & Martín-Cejas, R. R. (2010). Technical efficiency and productivity changes in spanish airports: A parametric distance functions approach. Transportation Research Part E: Logistics and Transportation Review, 46(2), 249-260. doi:10.1016/j.tre.2009.08.007
  • Tovar, B., Ramos-Real, F. J., & Fagundes de Almeida, E. L. (2015). Efficiency and performance in gas distribution. evidence from brazil. Applied Economics, 47(50), 5390-5406. doi:10.1080/00036846.2015.1047093