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Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences
Author(s): Budziński, Wiktor
Campbell, Danny
Czajkowski, Mikołaj
Demšar, Urška
Hanley, Nick
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Keywords: discrete choice experiment
contingent valuation
willingness to pay
spatial heterogeneity of preferences
forest management
passive protection
tourist infrastructure
mixed logit
geographically weighted model
weighted maximum likelihood
local maximum likelihood
Issue Date: Sep-2018
Citation: Budziński W, Campbell D, Czajkowski M, Demšar U & Hanley N (2018) Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences. Journal of Agricultural Economics, 69 (3), pp. 606-626.
Abstract: In this paper, we investigate the prospects of using geographically weighted choice models for modelling of spatially clustered preferences. We argue that this is a useful way of generating highly-detailed spatial maps of willingness to pay for environmental conservation, given the costs of collecting data. The data used in this study comes from a discrete choice experiment survey regarding public preferences for the implementation of a new country-wide forest management and protection program in Poland. We combine it with high-resolution spatial data related to local forest characteristics. Using locally estimated discrete choice models we obtain location-specific estimates of willingness to pay (WTP). Variation in these estimates is explained by characteristics of the forests in their place of residence. The results are compared with those obtained from a more typical, two stage procedure which uses Bayesian posterior means of the mixed logit model random parameters to calculate location-specific estimates of WTP. We find that there are indeed strong spatial patterns to the benefits of changes in management to national forests. People living in areas with more species-rich forests and those living nearer to higher areas of mixed forests have significantly different WTP values than those living in other locations. This kind of information enables a better distributional analysis of the gains and losses from changes to natural resource management, and better targeting of investments in forest quality.
DOI Link: 10.1111/1477-9552.12260
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the peer reviewed version of the following article: Budziński, W. , Campbell, D. , Czajkowski, M. , Demšar, U. and Hanley, N. (2018), Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences. J Agric Econ, 69: 606-626, which has been published in final form at This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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