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Productive Efficiency of Potato and Melon Growing Farms in Uzbekistan: A Two Stage Double Bootstrap Data Envelopment Analysis

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  • Aziz Karimov

    (UNU-WIDER, World Institute for Development Economics Research, Katajanokanlaituri 6B, Helsinki 00160, Finland)

Abstract

This article is one of the first to carry out a non-parametric efficiency analysis of crop production in Uzbekistan. The study applies the bootstrap Data Envelopment Analysis (DEA) to compute bias corrected technical efficiency (TE) scores using a sample of farms located in two regions of Uzbekistan. The study also investigates the determinants of TE in potato and melon production. Results indicate that there is room for efficient use of resources. Farmers are found to be more scale-efficient but not productively efficient. Findings from the second stage DEA model display that soil fertility index, farm size, water availability, crop diversification index, dependency ratio, potential to work in large land area, and longer distance to market contribute positively to production efficiency.

Suggested Citation

  • Aziz Karimov, 2013. "Productive Efficiency of Potato and Melon Growing Farms in Uzbekistan: A Two Stage Double Bootstrap Data Envelopment Analysis," Agriculture, MDPI, vol. 3(3), pages 1-13, September.
    • Handle: RePEc:gam:jagris:v:3:y:2013:i:3:p:503-515:d:28449
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    References listed on IDEAS

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    Cited by:

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    2. Effendy & M Fardhal Pratama & Rustam Abdul Rauf & Made Antara & Muhammad Basir-Cyio & Mahfudz & Muhardi, 2019. "Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-15, April.
    3. Benjamin Tetteh Anang & Stefan Bäckman & Antonios Rezitis, 2016. "Does farm size matter? Investigating scale efficiency of peasant rice farmers in northern Ghana," Economics Bulletin, AccessEcon, vol. 36(4), pages 2275-2290.
    4. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.

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