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Eco-efficiency Assessment of Olive Farms in Andalusia

Author

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  • José A. Gómez-Limón

    (Instituto Andaluz de Investigación y Formación Agraria y Pesquera. Departamento de Economía Agraria. Córdoba, Spain.)

  • Andrés J. Picazo-Tadeo

    (Universidad de Valencia. Departamento de Economía Aplicada II. Valencia, Spain.)

  • Ernest Reig-Martínez

    (Universidad de Valencia. Departamento de Economía Aplicada II. Instituto Valenciano de Investigaciones Económicas.)

Abstract

Olive farming represents an important source of income and employment in the rural areas of Andalusia (Spain), which is the most important olive oil-producing region in the world. Unfortunately, it also exerts important environmental pressures with regard to soil erosion, use of polluting inputs, excessive water consumption and biodiversity reduction. This paper uses Data Envelopment Analysis (DEA) techniques and pressure distance functions to contribute an assessment at the farm level of the ecoefficiency of a sample of 292 Andalusian olive farmers. We distinguish between managerial eco-efficiency and program eco-efficiency; the latter being associated with the different natural conditions prevailing in the three main olive cultivation systems in the region, namely, traditional rain-fed mountain groves, traditional rain-fed plain groves and irrigated intensive groves. Our findings show that eco-inefficient management is a widespread practice across olive farmers, mainly explained by a generalised technical inefficiency. Furthermore, the most eco-efficient production system is the traditional plain growing system. Finally, we find that land productivity strongly influences managerial eco-efficiency in all three aforementioned cultivation systems.

Suggested Citation

  • José A. Gómez-Limón & Andrés J. Picazo-Tadeo & Ernest Reig-Martínez, 2011. "Eco-efficiency Assessment of Olive Farms in Andalusia," Working Papers 1105, Department of Applied Economics II, Universidad de Valencia.
  • Handle: RePEc:eec:wpaper:1105
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    References listed on IDEAS

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    1. Andrés J. Picazo-Tadeo & José A. Gómez-Limón & Ernest Reig-Martínez, 2010. "Assessing farming eco-efficiency: A Data Envelopment Analysis approach," Working Papers 1004, Department of Applied Economics II, Universidad de Valencia.
    2. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    3. Basset-Mens, Claudine & Ledgard, Stewart & Boyes, Mark, 2009. "Eco-efficiency of intensification scenarios for milk production in New Zealand," Ecological Economics, Elsevier, vol. 68(6), pages 1615-1625, April.
    4. Hoang, Viet-Ngu & Rao, D.S. Prasada, 2010. "Measuring and decomposing sustainable efficiency in agricultural production: A cumulative exergy balance approach," Ecological Economics, Elsevier, vol. 69(9), pages 1765-1776, July.
    5. Van Passel, Steven & Nevens, Frank & Mathijs, Erik & Van Huylenbroeck, Guido, 2007. "Measuring farm sustainability and explaining differences in sustainable efficiency," Ecological Economics, Elsevier, vol. 62(1), pages 149-161, April.
    6. Isabelle Piot-Lepetit & Monique Moing, 2007. "Productivity and environmental regulation: the effect of the nitrates directive in the French pig sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 433-446, December.
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    1. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    2. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    3. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
    4. Huysman, Sofie & Sala, Serenella & Mancini, Lucia & Ardente, Fulvio & Alvarenga, Rodrigo A.F. & De Meester, Steven & Mathieux, Fabrice & Dewulf, Jo, 2015. "Toward a systematized framework for resource efficiency indicators," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 68-76.
    5. Micha, Evgenia & Heanue, Kevin, 2015. "Profiling farm systems according to their sustainable performance: the Irish livestock sector," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204216, Agricultural Economics Society.
    6. Yiridoe, Emmanuel K. & Amon-Armah, Frederick & Hebb, Dale & Jamieson, Rob, 2013. "Eco-efficiency of Alternative Cropping Systems Managed in an Agricultural Watershed," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150357, Agricultural and Applied Economics Association.
    7. Beltrán-Esteve, Mercedes, 2013. "Assessing technical efficiency in traditional olive grove systems: a directional metadistance function approach," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 13(02), pages 1-24, December.
    8. Mercedes Beltrán-Esteve & José A. Gómez-Limón & Andrés J. Picazo-Tadeo, 2011. "Are Production Technologies Associated To Agri-Environmental Programs More Eco-Efficient? A Case Study For Rain-Fed Agriculture," Working Papers 1115, Department of Applied Economics II, Universidad de Valencia.

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    Keywords

    Olive grove; Economic-ecological efficiency; Environmental pressures; Data Envelopment Analysis;
    All these keywords.

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