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dc.contributor.authorBuurman JJG
dc.date.accessioned2012-12-12T17:03:48Z
dc.date.available2012-12-12T17:03:48Z
dc.date.issued2003-09-15
dc.identifier718301001
dc.identifier.isbn9090167870
dc.identifier.urihttp://hdl.handle.net/10029/258444
dc.descriptionProefschrift / Dissertatie VU, Amsterdam faculteit Economische Wetenschappen en Bedrijfskunde. Verkrijgbaar via boekhandel.en
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractRural land markets are complex and heterogeneous markets, in which many actors and factors affect land prices. This study aims to contribute to the understanding of rural land markets by developing a spatial explanatory model for rural land prices. The model is based on economic theory and uses geographical information technology to analyse a large data set covering the province of Noord-Brabant in the Netherlands. The model is applied to analyse the effect on rural land prices of the land purchases for construction of houses, infrastructure and for nature conservation. The study contributes to the development of a land use model.
dc.format.extent250 p
dc.language.isoen
dc.relation.ispartofRIVM rapport 718301001
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/718301001.html
dc.subject04nl
dc.titleRural Land Markets; a spatial explanatory modelen
dc.typeOnderzoeksrapport
dc.contributor.departmentRIM
dc.date.updated2012-12-12T17:03:49Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractRural land markets are complex and heterogeneous markets, in which many actors and factors affect land prices. This study aims to contribute to the understanding of rural land markets by developing a spatial explanatory model for rural land prices. The model is based on economic theory and uses geographical information technology to analyse a large data set covering the province of Noord-Brabant in the Netherlands. The model is applied to analyse the effect on rural land prices of the land purchases for construction of houses, infrastructure and for nature conservation. The study contributes to the development of a land use model.


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