A Spatial Bayesian Hedonic Pricing Model of Farmland Values
AbstractIn 1973, British Columbia created the Agricultural Land Reserve (ALR) to protect farmland from development. This study investigates whether the ALR has been effective near the city of Victoria. Therefore, we employ a GIS-based hedonic pricing model and quantify ALR specific measures. Bayesian Model Averaging in combination with Markov Chain Monte Carlo Model Composition are used to address specification uncertainty. Results show that zoning schemes are partly credible. Zoned farmland sells for lower prices than other farmland. However, farmland located closer to the city of Victoria is priced higher and hobby farmers pay higher prices than conventional farmers.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 2008 International Congress, August 26-29, 2008, Ghent, Belgium with number 44137.
Date of creation: 2008
Date of revision:
Farmland prices; Bayesian Model Averaging; Hedonic pricing.; Land Economics/Use;
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jean CavailhËs & Pierre Wavresky, 2003. "Urban influences on periurban farmland prices," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(3), pages 333-357, September.
- Olivier Parent & James P. Lesage, 2007. "Bayesian Model Averaging for Spatial Econometric Models ," University of Cincinnati, Economics Working Papers Series 2007-02, University of Cincinnati, Department of Economics.
- James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.