Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences

Wiktor Budzinski, Danny Campbell (), Mikolaj Czajkowski, Urška Demšar and Nick Hanley

Journal of Agricultural Economics, 2018, vol. 69, issue 3, 606-626

Abstract: In this paper, we investigate the use of geographically weighted choice models for modelling 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 come from a discrete choice experiment survey of public preferences for the implementation of a new national forest management and protection programme in Poland. We combine these 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 close to where respondents live. These 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 to the management to national forests. People living in areas with more species‐rich forests and those living nearer bigger areas of mixed forests have significantly different WTP values than those living in other locations. This kind of information potentially enables a better distributional analysis of the gains and losses from changes to natural resource management, and better targeting of investments in forest quality.

Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://doi.org/10.1111/1477-9552.12260

Related works:
Working Paper: Using geographically weighted choice models to account for spatial heterogeneity of preferences (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jageco:v:69:y:2018:i:3:p:606-626

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0021-857X

Access Statistics for this article

Journal of Agricultural Economics is currently edited by David Harvey

More articles in Journal of Agricultural Economics from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().