Testing the influence of substitute sites in nature valuation by using spatial discounting factors
journal contribution
posted on 2018-04-26, 00:00 authored by Jeremy De ValckJeremy De Valck, S Broekx, I Liekens, J Aertsens, L VrankenThis paper investigates the effect of nearby nature substitute sites on preferences for nature restoration. Contrary to prior studies, we use a respondent-centric approach to control for substitute sites. We assess each respondent-specific spatial context by computing densities of nature substitute sites within various ranges from each respondent’s home. This approach considers the use and non-use values of nature together. Data from three similar discrete choice experiments carried out in Flanders (Belgium) are compared. Different spatial discounting factors are tested to explore how the substitution effect behaves with regard to distance. Latent class analyses are performed to account for preference heterogeneity among respondents. We observe divergent behaviours across groups of respondents. The “distance-to-substitutes” affects how respondents gauge substitute sites. We find a significant influence of the squared average buffer distance but this effect varies in sign across case studies and classes of respondents. Our results demonstrate that individual-specific GIS data can significantly improve the representation of the spatial context and the transferability of value functions. However, the roles played by preference heterogeneity and nature perception on respondents’ capacity to value nature still deserves further attention in future research. © 2015, Springer Science+Business Media Dordrecht.
Funding
Category 3 - Industry and Other Research Income
History
Volume
66Issue
1Start Page
17End Page
43Number of Pages
27eISSN
1573-1502ISSN
0924-6460Publisher
Springer NetherlandsPublisher DOI
Peer Reviewed
- Yes
Open Access
- No
Acceptance Date
2015-06-08External Author Affiliations
Flemish Institute for Technological Research VITO, Belgium; Geo-Instituut, BelgiumEra Eligible
- Yes
Journal
Environmental and Resource EconomicsUsage metrics
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