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Quelles zones cibler pour accroître l’efficacité agricole en Ouganda?

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  • Tankari, Mahamadou Roufahi

Abstract

L'objectif de cet article est d'élaborer un outil opérationnel pour la mise en place des politiques agricoles visant à accroitre l’efficacité de l’agriculture en Ouganda. A cet effet, des analyses effectuées sur les données d’Uganda National Panel Survey (UNPS) 2011-2012 ont permis d’élaborer une cartographie du niveau d’efficacité de la production agricole et des facteurs terre et travail. Ceux-ci sont les principales dotations de la population pauvre à partir desquelles elle tire sa subsistance. Il ressort que les zones abritant les unités de productions les plus efficaces en termes de production agricole ne sont pas forcément celles où la main d’œuvre ou la terre est utilisée de façon efficace. Des foyers d’inefficacité peuvent être ainsi repérés grâce aux atlas élaborés et fait l’objet d’un ciblage approprié en termes de politiques agricoles. The objective of this paper is to develop an operational tool for the implementation of agricultural policies to increase the agriculture efficiency in Uganda. For this purpose, the analysis performed on the data of Uganda National Panel Survey (UNPS) from 2011/2012 has permitted to elaborate a map of the level of efficiency of agricultural production and land and labor inputs. These are the main endowments of the poor population from which it draws its subsistence. It appears that areas with the most effective production units in terms of agricultural production are not necessarily the ones in which labor or land is used efficiently. Inefficient areas can then be identified by the atlas elaborated and targeted by agricultural policies.

Suggested Citation

  • Tankari, Mahamadou Roufahi, 2014. "Quelles zones cibler pour accroître l’efficacité agricole en Ouganda?," MPRA Paper 53396, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:53396
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    References listed on IDEAS

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    1. Atheendar S. Venkataramani & K.R. Shanmugam & Jennifer Prah Ruger, 2010. "Health, Technical Efficiency, And Agricultural Production In Indian Districts," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(4), pages 1-23, December.
    2. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    3. Giannis Karagiannis & Vangelis Tzouvelekas, 2009. "Measuring technical efficiency in the stochastic varying coefficient frontier model," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 389-396, July.
    4. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    5. Kalirajan, K P & Obwona, M B, 1994. "Frontier Production Function: The Stochastic Coefficients Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(1), pages 87-96, February.
    6. Harald Tauchmann, 2012. "Partial frontier efficiency analysis," Stata Journal, StataCorp LP, vol. 12(3), pages 461-478, September.
    7. Delgado, Christopher L. & Hopkins, Jane & Kelly , Valerie & Hazell, P. B. R. & McKenna, Anna A. & Gruhn, Peter & Hojjati, Behjat & Sil, Jayashree & Courbois, Claude, 1998. "Agricultural growth linkages in Sub-Saharan Africa:," Research reports 107, International Food Policy Research Institute (IFPRI).
    8. Timmer, C. Peter, 2002. "Agriculture and economic development," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 29, pages 1487-1546, Elsevier.
    9. Diao, Xinshen & Hazell, Peter & Thurlow, James, 2010. "The Role of Agriculture in African Development," World Development, Elsevier, vol. 38(10), pages 1375-1383, October.
    10. Christiaensen, Luc & Demery, Lionel & Kuhl, Jesper, 2011. "The (evolving) role of agriculture in poverty reduction--An empirical perspective," Journal of Development Economics, Elsevier, vol. 96(2), pages 239-254, November.
    11. Andre Croppenstedt & Mulat Demeke, 1997. "An empirical study of cereal crop production and technical efficiency of private farmers in Ethiopia: a mixed fixed-random coefficients approach," Applied Economics, Taylor & Francis Journals, vol. 29(9), pages 1217-1226.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    More about this item

    Keywords

    Ouganda; Agriculture; efficacité; ciblage Uganda; Agriculture; efficiency; targeting;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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