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Population Growth and Land Use Dynamics along Urban–Rural Gradient

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  • Polyakov, Maksym
  • Zhang, Daowei

Abstract

In this study we apply a spatial conditional logit model to determine factors influencing land cover change in three contiguous counties in West Georgia between 1992 and 2001 using point (pixel) based observations of land characteristics. We found that accessibility to population and population growth affect not only development of rural lands and transition between agricultural and forestry uses, but also influence changes between forest types. The model could be used to project land use–land cover change at watershed or subwatershed level and thus serve as a valuable tool for county and city planners.

Suggested Citation

  • Polyakov, Maksym & Zhang, Daowei, 2008. "Population Growth and Land Use Dynamics along Urban–Rural Gradient," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(2), pages 649-666, August.
    • Handle: RePEc:cup:jagaec:v:40:y:2008:i:02:p:649-666_02
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    Cited by:

    1. Bonoua Faye & Guoming Du & Ru Zhang, 2022. "Efficiency Analysis of Land Use and the Degree of Coupling Link between Population Growth and Global Built-Up Area in the Subregion of West Africa," Land, MDPI, vol. 11(6), pages 1-21, June.
    2. Javier Montalvo & Enrique Ruiz-Labrador & Pablo Montoya-Bernabéu & Belén Acosta-Gallo, 2019. "Rural–Urban Gradients and Human Population Dynamics," Sustainability, MDPI, vol. 11(11), pages 1-24, June.
    3. Nery, Thayse & Polyakov, Maksym & Sadler, Rohan & White, Ben, 2019. "Spatial patterns of boom and bust forestry investment development: A case study from Western Australia," Land Use Policy, Elsevier, vol. 86(C), pages 67-77.
    4. Julie Bourbeillon & Thomas Coisnon & Damien Rousselière & Julien Salanié, 2021. "Characterising the Landscape in the Analysis of Urbanisation Factors: Methodology and Illustration for the Urban Area of Angers," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 528-529, pages 109-128.

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