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Demand for non-commodity outputs from mountain olive groves

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  • Arriaza Balmón, Manuel
  • Gomez-Limon, Jose Antonio
  • Kallas, Zein
  • Nekhay, Olexandr

Abstract

Agricultural multifunctionality is the recognition of the joint exercise of economic, environmental and social functions by this sector. In order to make this concept operative to support the design of public policies, it is necessary to estimate the social demand for such functions. The main objective of this article is to present an empirical application in this line. For this purpose we have adopted the agricultural system of mountain olive groves in Andalusia (Southern Spain) at risk of abandonment after the decoupling of the EU subsidies as a case study. The economic valuation technique used is the Choice Experiments. According to the results, each attribute included in the concept of multifunctionality makes a different contribution to the improvement of the utility at societal level. Thus, and taking into account its willingness to pay (WTP) for each attribute, maintaining rural population levels in villages and fighting soil erosion seem to be the functions most valued by citizens of Andalusia. These functions are followed by improvement in the visual quality of the rural landscapes and the reduction of phytosanitary residues in food. Finally, although the results suggest that there is a significant demand for the various functions, this demand is heterogeneous, and depends on the socio-economic characteristics of the individuals.

Suggested Citation

  • Arriaza Balmón, Manuel & Gomez-Limon, Jose Antonio & Kallas, Zein & Nekhay, Olexandr, 2009. "Demand for non-commodity outputs from mountain olive groves," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 9(01), pages 1-19.
    • Handle: RePEc:ags:aergaa:93800
    DOI: 10.22004/ag.econ.93800
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    References listed on IDEAS

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    1. Raymond J. G. M. Florax & Chiara M. Travisi & Peter Nijkamp, 2005. "A meta-analysis of the willingness to pay for reductions in pesticide risk exposure," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(4), pages 441-467, December.
    2. Bengt Kristrom & Pere Riera, 1996. "Is the income elasticity of environmental improvements less than one?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(1), pages 45-55, January.
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    1. de Ayala, Amaia & Hoyos, David & Mariel, Petr, 2015. "Suitability of discrete choice experiments for landscape management under the European Landscape Convention," Journal of Forest Economics, Elsevier, vol. 21(2), pages 79-96.
    2. 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.
    3. Anastasija Novikova & Lucia Rocchi & Bernardas Vaznonis, 2019. "Valuing Agricultural Landscape: Lithuanian Case Study Using a Contingent Valuation Method," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    4. Gomez-Limon, Jose Antonio & Riesgo, Laura, 2010. "Sustainability assessment of olive grove in Andalusia: A methodological proposal," 120th Seminar, September 2-4, 2010, Chania, Crete 109323, European Association of Agricultural Economists.
    5. Torres-Miralles, M. & Grammatikopoulou, I. & Rescia, A.J., 2017. "Employing contingent and inferred valuation methods to evaluate the conservation of olive groves and associated ecosystem services in Andalusia (Spain)," Ecosystem Services, Elsevier, vol. 26(PA), pages 258-269.
    6. Pavel CIAIAN & Sergio GOMEZ y PALOMA, 2011. "The Value of EU Agricultural Landscape," JRC Research Reports JRC65456, Joint Research Centre.
    7. Stanisław Bielski & Renata Marks-Bielska & Anastasija Novikova & Bernardas Vaznonis, 2020. "Assessing the Value of Agroecosystem Services in Warmia and Mazury Province Using Choice Experiments," Agriculture, MDPI, vol. 11(1), pages 1-14, December.

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