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A metafrontier directional distance function approach to assessing eco-efficiency

Author

Listed:
  • Mercedes Beltrán-Esteve

    (Universidad de Valencia)

  • José A. Gómez-Limón

    (Universidad de Córdoba)

  • Andrés J. Picazo-Tadeo

    (Universidad de Valencia)

  • Ernest Reig-Martínez

    (Universidad de Valencia)

Abstract

This paper uses directional distance functions to extend the non-parametric metafrontier approach to efficiency measurement proposed by OÕDonnell et al. (2008) to the assessment of technological differences in eco-efficiency between groups of producers. Furthermore, eco-efficiency is assessed at the level of specific environmental pressures management. This methodology is applied to a sample of Spanish olive producers that belong to both traditional mountain and traditional plain growing systems. We find great potential for both olive growing systems to reduce environmental pressures. In terms of pressures on natural resources, the most eco-efficient technology corresponds to the traditional plain system, while the traditional mountain system is the most eco-efficient when considering pressures on biodiversity. These results might help policymakers design strategies aimed at improving the performance of olive growing and meeting the demands of society regarding the economic and ecological functions of this farming activity.

Suggested Citation

  • Mercedes Beltrán-Esteve & José A. Gómez-Limón & Andrés J. Picazo-Tadeo & Ernest Reig-Martínez, 2012. "A metafrontier directional distance function approach to assessing eco-efficiency," Working Papers 1206, Department of Applied Economics II, Universidad de Valencia.
  • Handle: RePEc:eec:wpaper:1206
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    References listed on IDEAS

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    More about this item

    Keywords

    Economic-ecological efficiency; metafrontier; directional distance functions; Data Envelopment Analysis; agro environmental policy; Spain;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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