IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v47y2020i2p752-784..html
   My bibliography  Save this article

Spatial analysis of demand for sparsely located ecosystem services using alternative index approaches
[Spatial preference heterogeneity in forest recreation]

Author

Listed:
  • Rubén Granado-Díaz
  • José A Gómez-Limón
  • Macario Rodríguez-Entrena
  • Anastasio J Villanueva

Abstract

This study focuses on the effects of spatial discounting and substitutes sites on the demand for ecosystem services (ES) provided by scattered agroecosystems. New ways of modelling these two effects are proposed, relying on area-based and density-based indices. Data from discrete choice experiments are used, based on a case study of Andalusian olive groves (southern Spain). The results show that model fit is significantly improved by the introduction of these spatial indices, with the best outcome found for the area-based index combined with the inverse of the distance. Results provide evidence of substantial spatial heterogeneity depending on the ES (carbon sequestration, soil conservation and biodiversity), indicating different economic jurisdictions.

Suggested Citation

  • Rubén Granado-Díaz & José A Gómez-Limón & Macario Rodríguez-Entrena & Anastasio J Villanueva, 2020. "Spatial analysis of demand for sparsely located ecosystem services using alternative index approaches [Spatial preference heterogeneity in forest recreation]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 752-784.
  • Handle: RePEc:oup:erevae:v:47:y:2020:i:2:p:752-784.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbz036
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. O'Donoghue, Cathal & Hynes, Stephen & Kilgarriff, Paul & Ryan, Mary & Tsakiridis, Andreas, 2020. "Assessing preferences for rural landscapes: An attribute based choice modelling approach," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(2), August.
    2. Parron, Lucilia Maria & Villanueva, Anastasio Jose & Glenk, Klaus, 2022. "Estimating the value of ecosystem services in agricultural landscapes amid intensification pressures: The Brazilian case," Ecosystem Services, Elsevier, vol. 57(C).
    3. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2022. "The relative performance of ex‐ante and ex‐post measures to mitigate hypothetical and strategic bias in a stated preference study," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 845-873, September.
    4. Anastasio J. Villanueva & Rubén Granado‐Díaz & Sergio Colombo, 2024. "Comparing practice‐ and results‐based agri‐environmental schemes controlled by remote sensing: An application to olive groves in Spain," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 524-545, June.
    5. Granado-Díaz, Rubén & Villanueva, Anastasio J. & Colombo, Sergio, 2024. "Land manager preferences for outcome-based payments for environmental services in oak savannahs," Ecological Economics, Elsevier, vol. 220(C).
    6. Lopez-Becerra, E.I. & Alcon, F., 2021. "Social desirability bias in the environmental economic valuation: An inferred valuation approach," Ecological Economics, Elsevier, vol. 184(C).
    7. Martínez-Paz, José M. & Albaladejo-García, José A. & Barreiro-Hurle, Jesús & Pleite, Federico Martínez-Carrasco & Perni, Ángel, 2021. "Spatial effects in the socioeconomic valuation of peri-urban ecosystems restoration," Land Use Policy, Elsevier, vol. 105(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:erevae:v:47:y:2020:i:2:p:752-784.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.