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Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis

Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis This paper presents an empirical analysis of major drivers of land use change in China from 1988 to 2005. We compile a geographic information system database and develop a new method to estimate an econometric land use model that explicitly takes into account the spatial interactions between land use decisions. Results indicate that increasing urban land value was a major driver of farmland development, while rising rural income was a primary driver of conversion of farmland to forests and grassland. The growth of urban income and road density reduces grassland conversion but increases deforestation. (<i>JEL Q15, R14</i>) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Land Economics University of Wisconsin Press

Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis

Land Economics , Volume 89 (4) – Oct 16, 2013

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Publisher
University of Wisconsin Press
Copyright
Copyright by the Board of Regents of the University of Wisconsin System.
ISSN
1543-8325

Abstract

This paper presents an empirical analysis of major drivers of land use change in China from 1988 to 2005. We compile a geographic information system database and develop a new method to estimate an econometric land use model that explicitly takes into account the spatial interactions between land use decisions. Results indicate that increasing urban land value was a major driver of farmland development, while rising rural income was a primary driver of conversion of farmland to forests and grassland. The growth of urban income and road density reduces grassland conversion but increases deforestation. (<i>JEL Q15, R14</i>)

Journal

Land EconomicsUniversity of Wisconsin Press

Published: Oct 16, 2013

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