Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 536753
Title A numerical method to account for distance in a farmer's willingness to pay for land
Author(s) Bakker, Martha M.; Heuvelink, Gerard B.M.; Vrugt, Jasper A.; Polman, Nico; Brookhuis, Bart; Kuhlman, Tom
Source Spatial Statistics 25 (2018). - ISSN 2211-6753 - p. 22 - 34.
DOI http://dx.doi.org/10.1016/j.spasta.2018.04.001
Department(s) WASS
Landscape Architecture
ISRIC - World Soil Information
PE&RC
LEI Green Economy and Landuse
Land Use Planning
Publication type Refereed Article in a scientific journal
Publication year 2018
Availibility Full text available from 2020-06-01
Keyword(s) Distance - Farmer preferences - Land market - Monte Carlo - Parameter optimization
Abstract Land transactions between farmers are responsible for landscape changes in rural areas. The price a farmer is willing to pay (WTP) for vacant land depends on the distance of the parcel to the farmstead. Detailed quantitative knowledge of this WTP– distance relationship is of utmost importance for accurate modelling of land markets, and for the design and implementation of effective and robust land consolidation schemes. Practical experience suggests, however that it is not particularly easy to back out the WTP–distance relationship from empirical transaction data. Here, we present a novel statistical framework to help quantify the relationship between a farmer's WTP and the distance of his/her farmstead to the vacant parcel. We describe a land market with a simple statistical model and simulate an artificial archive of land transactions via Monte Carlo sampling. The parameters of our virtual market are estimated from a historical archive of land transactions in the Province of Gelderland The Netherlands, using minimization of the divergence (relative entropy) between the observed and simulated joint distributions of distance and transaction price. A reasonable agreement was observed between the observed and simulated bivariate distributions of distance and transaction price. Our results demonstrate that for short distances (500–1000m) any additional metre distance reduces the WTP by about 60 € ha-1. The impact of distance on WTP gradually levels off with larger distance: beyond 5 km the effect has reduced to less than 0.5 € ha-1
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.