dc.contributor.author
Govigli, Valentino Marini
dc.contributor.author
Górriz-Mifsud, Elena
dc.contributor.author
Varela, Elsa
dc.date.accessioned
2025-10-22T11:32:07Z
dc.date.available
2025-10-22T11:32:07Z
dc.date.issued
2019-03-04
dc.identifier.citation
Marini Govigli, Valentino, Elena Górriz-Mifsud, and Elsa Varela. 2019. "Zonal Travel Cost Approaches To Assess Recreational Wild Mushroom Picking Value: Trade-Offs Between Online And Onsite Data Collection Strategies". Forest Policy And Economics 102: 51-65. Elsevier BV. doi:10.1016/j.forpol.2019.02.003.
dc.identifier.issn
1389-9341
dc.identifier.uri
http://hdl.handle.net/20.500.12327/361
dc.description.abstract
Mushroom picking is a growing recreational activity in Europe. Since the institutional environment moves towards regulating mycological resources, estimating the value of this ecosystem service becomes a key tool for
policy-makers and rural entrepreneurs.
This paper applies the Travel Cost (TC) method to estimate the value of mushroom picking in three forest
areas in the region of Catalonia, Spain. In particular, the main objective is to contrast different sampling strategies (online vs. onsite data collection) when used to build zonal Travel Cost models. This intends to guide
practitioners towards choosing the best sampling strategy according to existing time, monetary and accuracy
constraints.
Eight TC models were derived using as regressors the zonal travel cost and selected picking and socio-economic variables. The resulting demand curves produce an estimate of the average site value per trip that ranges
from 9 to 22€/visit considering the onsite data, and from 21 to 47 €/visit for zonal TC implemented on the online
data. These results reveal estimate differences across the approaches, and especially evident for one picking
ground (Els Ports).
Our results point out that onsite surveys would be better suited when exploring the sample for an initial set up
of permit fees, to set the permit boundaries and initial applications. On the other hand, the online data collection
presents the problem of self-selection and self-reporting bias. We recommend practitioners to always perform a
proper assessment of the effects of the context, chosen sampling strategy, and validity of assumptions when
adopting valuation estimates for establishing a recreational price of ecosystem services.
dc.relation.ispartof
Forest Policy and Economics
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title
Zonal travel cost approaches to assess recreational wild mushroom picking value: Trade-offs between online and onsite data collection strategies
dc.type
info:eu-repo/semantics/article
dc.description.version
info:eu-repo/semantics/acceptedVersion
dc.relation.projectID
EC/FP7/311919/EU/Multipurpose trees and non-wood forest products a challenge and opportunity/STAR TREE
dc.identifier.doi
https://doi.org/10.1016/j.forpol.2019.02.003
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
dc.contributor.group
Economia Agroalimentària