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Agricultural efficiency under resources scarcity in Uzbekistan: A Data Envelopment Analysis

Author

Listed:
  • Shavkat Hasanov

    (Agricultural economics and management department, Samarkand Agricultural Institute)

  • Ahmed Mirza Nomman

    (Agricultural Policy and Market Research Institute, Justus Liebig University of Giessen, Giessen, Germany.)

Abstract

Water scarcity and land degradation increases led to a sharp rise in input resource’s costs. These developments make it increasingly difficult for agricultural farms to produce according to the demand for food and other commodities, especially owing a rapid population growth. The present study aims to focus on scarce resource use in the agricultural production of the Zarafshan valley by means of the efficiency analysis. A DEA model is estimated to investigate the farm level efficiency levels with respect to the use of the limited resources available to the farmers. By the application of linear programming methods a ‘best practice frontier is estimated’, classifying farms on the frontier as efficient and others as inefficient with respect to different scales. Technical and allocative efficiencies are calculated relative to the frontier. Results shows input resources are not used efficiently and a great majority of farms could effectively reduce considerable amounts of input use by still producing the same output.

Suggested Citation

  • Shavkat Hasanov & Ahmed Mirza Nomman, 2011. "Agricultural efficiency under resources scarcity in Uzbekistan: A Data Envelopment Analysis," Business and Economic Horizons (BEH), Prague Development Center, vol. 4(1), pages 81-87, January.
    • Handle: RePEc:pdc:jrnbeh:v:4:y:2011:i:1:p:81-87
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    References listed on IDEAS

    as
    1. Sandjar Djalalov & Masahiko Gemma, 2006. "Impact of Policy Reforms on Farm Production in Uzbekistan," Natural Resource Management and Policy, in: Suresh Chandra Babu & Sandjar Djalalov (ed.), Policy Reforms and Agriculture Development in Central Asia, chapter 0, pages 239-255, Springer.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, October.
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    Cited by:

    1. repec:zbw:iamodp:279145 is not listed on IDEAS
    2. Hasanov, Shavkat & Sanaev, Golib, 2018. "Non-farm employment trends and policy in rural areas of Samarkand region (Uzbekistan)," IAMO Discussion Papers 176, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    3. Hasanov, Shavkat & Sanaev, Golib, 2018. "Non-farm employment trends and policy in rural areas of Samarkand region (Uzbekistan)," IAMO Discussion Papers 279145, Institute of Agricultural Development in Transition Economies (IAMO).
    4. repec:zbw:iamodp:253397 is not listed on IDEAS
    5. Tleubayev, Alisher & Bobojonov, Ihtiyor & Götz, Linde & Hockmann, Heinrich & Glauben, Thomas, 2017. "Determinants of productivity and efficiency of wheat production in Kazakhstan: A Stochastic Frontier Approach," IAMO Discussion Papers 253397, Institute of Agricultural Development in Transition Economies (IAMO).

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    More about this item

    Keywords

    Efficiency; Zaravshan valley; household survey; scarce resources; DEA model.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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