Spatial analysis of demand for sparsely located ecosystem services using alternative index approaches

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.

Estimating the value of ecosystem services in agricultural landscapes amid intensification pressures: The Brazilian case

“…Finally, this study has not been spatially explicit while the provision of some ES is (Glenk et al, 2020;Granado-Díaz et al, 2020). Biodiversity, soil erosion, and carbon may all carry considerable non-use value, which may be arguable related to comparatively lower spatial discount effects.…”

Comparing practice‐ and results‐based agri‐environmental schemes controlled by remote sensing: An application to olive groves in Spain

“…First, the high WTA for the biodiversity objective may be due to the use of the number of bird species as the indicator. While this indicator may be justified for reasons of enhancing societal legitimation (Granado‐Díaz et al., 2020), as described above, the mobility of the species may increase farmers' uncertainty about their capacity for provision of this ES and thus their WTA for enrolling in the scheme. On the other hand, the use of less mobile animal species such as arthropods, amphibians or reptiles may be rejected by farmers since the presence of such species is often considered harmful.…”

The relative performance of ex‐ante and ex‐post measures to mitigate hypothetical and strategic bias in a stated preference study

“…This is in line with the idea of coherent arbitrariness (Ariely et al, 2003). Proximity and loyalty effects can also be present for locally iconic crops such as olives (Granado‐Díaz et al, 2020). Respondents may attach higher values to goods provided within nearer proximity (local goods) than those provided further away, especially for environmental goods that may inspire a sense of identification in people (Faccioli et al, 2020).…”