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Do roads cause deforestation? Using satellite images in econometric analysis of land use

Author

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  • Nelson, Gerald
  • Hellerstein, Daniel

Abstract

In this paper we demonstrate how satellite images and other geographic data can be used to predict land use. A cross-section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that proxy human influence are changed to reflect reduced impact, "forest" area increases and "irrigated crop" area is reduced.

Suggested Citation

  • Nelson, Gerald & Hellerstein, Daniel, 1997. "Do roads cause deforestation? Using satellite images in econometric analysis of land use," MPRA Paper 25261, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:25261
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    File URL: https://mpra.ub.uni-muenchen.de/25261/1/MPRA_paper_25261.pdf
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    Keywords

    geographic data; land use; remotely sensed data; spatial econometrics.;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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