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The efficiency analysis of organic and conventional olive farms: Case of Turkey

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  • M. Metin ARTUKOGLU

    (Department of Agricultural Economics, Ege University, Faculty of Agriculture, Bornova-Izmir, Turkey)

  • Akin OLGUN

    (Department of Agricultural Economics, Ege University, Faculty of Agriculture, Bornova-Izmir, Turkey)

  • Hakan ADANACIOGLU

    (Department of Agricultural Economics, Ege University, Faculty of Agriculture, Bornova-Izmir, Turkey)

Abstract

This paper investigates technical and economically efficiency of 62 organic and 62 conventional olive producing farms in Turkey. According to the study results; by using the CRS model which is input and output-oriented, the average technical efficiency of organic olive farms is 67.68%, the average technical efficiency of conventional olive farms is 47.93%. The technical efficiency of the output-oriented VRS model is 74.78%, and the technical efficiency of the input-oriented VRS model is 93.46%. Also, considering the same model, the average efficiency of the conventional olive farms in the input and output are 59.58% and 94.97%, respectively. Therefore, according to the Data Envelopment Analysis, the technical efficiency in conventional olive farms is less than in the organic ones. When the farms have been evaluated one by one in the light of the total potential improvement values, inputs and outputs, improvement is needed in all values.

Suggested Citation

  • M. Metin ARTUKOGLU & Akin OLGUN & Hakan ADANACIOGLU, 2010. "The efficiency analysis of organic and conventional olive farms: Case of Turkey," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 89-96.
  • Handle: RePEc:caa:jnlage:v:56:y:2010:i:2:id:620-agricecon
    DOI: 10.17221/620-AGRICECON
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    References listed on IDEAS

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    1. Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 51-66, March.
    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. Sophia Davidova & Laure Latruffe, 2007. "Relationships between Technical Efficiency and Financial Management for Czech Republic Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(2), pages 269-288, June.
    4. Lassaad Lachaal & Boubaker Karray & Boubaker Dhehibi & Ali Chebil, 2005. "Technical Efficiency Measures and Its Determinants for Olive Producing Farms in Tunisia: A Stochastic Frontier Analysis," African Development Review, African Development Bank, vol. 17(3), pages 580-591.
    5. Lilienfeld, Amy & Asmild, Mette, 2007. "Estimation of excess water use in irrigated agriculture: A Data Envelopment Analysis approach," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 73-82, December.
    6. Jema Haji, 2007. "Production Efficiency of Smallholders' Vegetable-dominated Mixed Farming System in Eastern Ethiopia: A Non-Parametric Approach," Journal of African Economies, Centre for the Study of African Economies, vol. 16(1), pages 1-27, January.
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    2. Hajime Kamiyama & Mohamed Kefi & Kenichi Kashiwagi, 2021. "Irrigation Water Use Efficiency in Olive Trees in Kairouan, Tunisia," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 11(3), pages 255-261.

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