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Potentiel de Productivité et Efficacité Technique du Secteur Agricole en Afrique


  • Joachim Binam Nyemeck
  • Guy Blaise Nkamleu


"This study utilizes frontier metaproduction functions to analyze inter-region agricultural productivity differences. Technical efficiency scores are examined through estimation of stochastic frontiers for 16 African countries divided into three different regions (West Africa, East and Southern Africa, and North Africa) from 1970 to 2001. The idea is to explore the differences in efficiency and technological gaps of agricultural sector. Apart of common traits that characterize African agricultural sector, countries exhibit national and regional specificities. These diversities are such that it is difficult to make valuable generalizations. It appears from the results that: in West Africa, the level of technology is relatively good, meaning that there is no problem of input constraints. By contrast, the efficiency with which inputs are used is very low. The situation is very different in the East and Southern Africa, with the level of technology relatively low and appreciable technical level. At least, the North Africa countries make a performing mixture between technology and efficiency." Copyright 2006 Canadian Agricultural Economics Society.

Suggested Citation

  • Joachim Binam Nyemeck & Guy Blaise Nkamleu, 2006. "Potentiel de Productivité et Efficacité Technique du Secteur Agricole en Afrique," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(3), pages 361-377, September.
  • Handle: RePEc:bla:canjag:v:54:y:2006:i:3:p:361-377

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    References listed on IDEAS

    1. Fulginiti, Lilyan E. & Perrin, Richard K. & Yu, Bingxin, 2004. "Institutions and agricultural productivity in Sub-Saharan Africa," Agricultural Economics, Blackwell, vol. 31(2-3), pages 169-180, December.
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    Cited by:

    1. Nkamleu, Guy Blaise & Nyemeck, Joachim & Sanogo, Diakalia, 2006. "Metafrontier Analysis of Technology Gap and Productivity Difference in African Agriculture," MPRA Paper 15103, University Library of Munich, Germany.
    2. Nkamleu, Guy Blaise, 2007. "Religious faith and agricultural growth: exploring some correlations in Africa," MPRA Paper 11131, University Library of Munich, Germany, revised 2007.
    3. Nodjitigje DJIMASRA, 2011. "Décomposition de l'indice de productivité de Malmquist : une application sur un échantillon des pays africains producteurs de coton," LEO Working Papers / DR LEO 413, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    4. Ludovic Temple & Sylvain Ngassam & Guy Nkamleu, 2009. "Filières d'approvisionnement en ignames de Douala et changements technologiques," Post-Print hal-00802701, HAL.
    5. Maha Kalai & Kamel Helali, 2016. "Technical Change and Total Factor Productivity Growth in the Tunisian Manufacturing Industry: A Malmquist Index Approach," African Development Review, African Development Bank, vol. 28(3), pages 344-356, September.
    6. Nkamleu, Guy Blaise, 2006. "On measuring indebtedness of African countries: A stochastic frontier debt production function," MPRA Paper 14661, University Library of Munich, Germany.
    7. Nodjitigje DJIMASRA, 2010. "Mesure de l'efficacité technique des pays africains producteurs du coton : une application de la méthode Data Envelopment Analysis (DEA)," LEO Working Papers / DR LEO 1207, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

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