|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences|
|Keywords:||discrete choice experiment|
willingness to pay
spatial heterogeneity of preferences
geographically weighted model
weighted maximum likelihood
local maximum likelihood
|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. https://doi.org/10.1111/1477-9552.12260.|
|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.|
|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 https://doi.org/10.1111/1477-9552.12260. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.|
|GWR paper JAE.pdf||Fulltext - Accepted Version||1.15 MB||Adobe PDF||Under Embargo until 2019-12-29 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.