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Article
Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis
Land Economics (2013)
  • Man Li, International Food Policy Research Institute
  • JunJie Wu, Oregon State University
  • Xiangzheng Deng
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.

Keywords
  • Land use change,
  • spatial interaction,
  • spatial multinomial logit regression,
  • China
Publication Date
November, 2013
Citation Information
Man Li, JunJie Wu and Xiangzheng Deng. "Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis" Land Economics Vol. 89 Iss. 4 (2013)
Available at: http://works.bepress.com/man_li/1/