2409-1634Research result. Economic Research2409-163410.18413/2409-1634-2014-1-2-5-33265MAIN FEATUREBENCHMARKING OF KNOWLEDGE ECONOMY IN THE SUB-SAHARAN AFRICA COUNTRIES’BENCHMARKING OF KNOWLEDGE ECONOMY IN THE SUB-SAHARAN AFRICA COUNTRIES’MoskovkinVladimir M.MoskovkinVladimir M.moskovkin@bsu.edu.ruSiz’engoMunengeSiz’engoMunengemoskovkin@bsu.edu.ruBelgorod State National Research University20141200

The author discusses the Knowledge Assessment Methodology (KAM) of the World Bank and the underlying empirical researches. On its basis, the Basic Scorecard for the aggregated and integrated indicators of three SubSaharan country-blocs (COMESA, ECOWAS, ECCAS) is built. On the basis of the scorecard and classification scale of the levels of countries’ development by weighted KAM-indicators, the matrices of the levels of development for the member countries of the regional groups on these indicators for the period from 2000 to 2012 are constructed. The study has shown that Mauritius has benefited most from COMESA integration, followed by Egypt, Zambia, Kingdom of Swaziland and Kenya. Among the countries of ECOWAS and ECCAS, Ghana and Burkina Faso have the best positions for the first group of countries respectively, and Rwanda and Cameroon for the second one. A similar Basic Scorecard for the partial weighted indicators of the above mentioned Sub-Saharan African integrations is built which allowed to build the matrix of strong and weak points of the knowledge economy of the countries under study on nine variables belonging to the three realms of the knowledge economy. Among COMESAcountries, only Mauritius and Swaziland have shown the knowledge economy strengths. COMESA has the best aggregated and integral indicators of the regional groups under research; it’s followed by ECOWAS and ECCAS. The offered benchmarking tools, adapted for the comparative evaluation of the Sub-Saharan Africa countries’ knowledge economy indicators, can be used by the coordinating bodies of COMESA, ECOWAS and ECCAS countries in management of their global positioning.

The author discusses the Knowledge Assessment Methodology (KAM) of the World Bank and the underlying empirical researches. On its basis, the Basic Scorecard for the aggregated and integrated indicators of three SubSaharan country-blocs (COMESA, ECOWAS, ECCAS) is built. On the basis of the scorecard and classification scale of the levels of countries’ development by weighted KAM-indicators, the matrices of the levels of development for the member countries of the regional groups on these indicators for the period from 2000 to 2012 are constructed. The study has shown that Mauritius has benefited most from COMESA integration, followed by Egypt, Zambia, Kingdom of Swaziland and Kenya. Among the countries of ECOWAS and ECCAS, Ghana and Burkina Faso have the best positions for the first group of countries respectively, and Rwanda and Cameroon for the second one. A similar Basic Scorecard for the partial weighted indicators of the above mentioned Sub-Saharan African integrations is built which allowed to build the matrix of strong and weak points of the knowledge economy of the countries under study on nine variables belonging to the three realms of the knowledge economy. Among COMESAcountries, only Mauritius and Swaziland have shown the knowledge economy strengths. COMESA has the best aggregated and integral indicators of the regional groups under research; it’s followed by ECOWAS and ECCAS. The offered benchmarking tools, adapted for the comparative evaluation of the Sub-Saharan Africa countries’ knowledge economy indicators, can be used by the coordinating bodies of COMESA, ECOWAS and ECCAS countries in management of their global positioning.

local self-governmentmunicipal theorytheoretical and methodological foundations of the science of municipal lawmunicipalityindependence of local governmentlocal self-governmentmunicipal theorytheoretical and methodological foundations of the science of municipal lawmunicipalityindependence of local governmentСписок литературыChen, D. H. C. The Knowledge Economy, the KAM Methodology and World Bank Operations. – Washington, DC: The World Bank, 2005. 33 p.Barro, R. J. Economic Growth in a Cross-Section of Countries // The Quarterly Journal of Economics. 1991. Vol. 106, № 2. Pp. 407-443.Cohen, D. Growth and Human Capital: Good Data, Good Results // Journal of Economic Growth. 2007. Vol. 12, № 1. Рp. 51-76.Hanushek, E.A. Schooling, Labor-Force Quality, and the Growth of Nations // American Economic Review. 2000. Vol. 90, № 5. Pp. 1184-1208.Lederman, D. R&D and Development. – Washington, D.C.: World Bank, Latin America and Caribbean Region, Office of the Chief Economist, Regional Studies Program. 2003. 37 p. (Policy Research Working Paper; № 3024).Dominique, G. R&D and Productivity Growth: Panel Data Analysis of 16 OECD Countries // OECD. Economic Studies. 2001. Vol. 2001, № 2. Pp. 103-126.Adams, J. D. Fundamental Stocks of Knowledge and Productivity Growth // Journal of Political Economy. 1990. Vol. 98, № 4. Pp. 673-702.Moskovkin, V.M. Development of Methodology for Assessing the Knowledge Economy: the on the Example of ASEAN countries and MEDA // International Economics. – Vol. 2011, № 4. Pp. 59-75.