ARTICLES
Determinants of land use changes: A spatial multinomial probit approach**

https://doi.org/10.1111/j.1435-5957.2009.00239.xGet rights and content
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Abstract

We propose a spatial multinomial probit model to examine the determinants of land use change, at the parcel level, in the French Département du Rhones from 1992 to 2003. It is based on an economic model that assumes that landowners have a choice between four land use categories for a given parcel at a given date: (1) agricultural, (2) forest, (3) urban, and (4) no use. We estimate a model that allows for both covariates and spatial dependence, and we use these features to explore the relative importance of factors that drive landowners to choose a specific land use category.

Resumen

Proponemos un modelo probit multinomial espacial para examinar los determinantes del cambio en el uso del suelo, a escala de parcela, en el Département du Rhones francés desde 1992 hasta 2003. Esta basado en un modelo económico que asume que los propietarios de la tierra pueden elegir entre cuatro categorías de uso del suelo para una parcela en una fecha dada: (1) agrícola, (2) forestal, (3) urbano, y (4) sin uso. Estimamos un modelo que permite tanto covariables como dependencia espacial, y lo utilizamos para explorar la importancia relativa de los factores que impulsan a los propietarios del suelo a elegir una categoría de uso del suelo en particular.

Keywords

Land use
multinomial probit
spatial correlation
Bayesian Markov chain Monte Carlo

Palabras clave

Uso del suelo
probit multinomial
correlación espacial
Monte Carlo bayesiano basado en cadenas de Markov

JEL classification

C11
C31
C35
R14

Cited by (0)

*

We would like to thank the Service Central des Enquêtes et Etudes Statistiques (SCEES) for providing the data on land use. We gratefully acknowledge financial support from the Charles Phelps Taft Research Centre. Support to the first author from the AgFoodTrade project funded under the 7th Framework Program for Reserach and Development, DG‐Research, European Commission, is acknowledged. The authors wish to thank the peer reviewers for all their insightful comments. We also wish to thank S. Tanis‐Plant for discussions and thorough editorial advice in English.