Economics
Deforestation and land use change: Sparse data environments
Document Type
Conference Paper
Abstract
Understanding determinants of land use in developing countries has become a priority for researchers and policy makers with a wide range of interests. For the vast majority of these land use issues, the location of change is as important as its magnitude. This overview paper highlights new economic approaches to modeling land use determinants that combine non-traditional data sources with novel economic models and econometric techniques. A key feature is that location is central to the analysis. All data elements include an explicit location attribute, estimation techniques include the potential for complications from spatial effects, and results are location-specific. The paper reviews the theory underlying these models. Since this paper is intended to provide the potential new researcher with an introduction to the challenges of this analysis, we present an overview of how remotely-sensed data are collected and processed, describe key GIS concepts and identify sources of data for this type of econometric analysis. Finally, selected papers using these techniques are reviewed. © 2002 Elsevier Science B.V. All rights reserved.
Publication Title
Agricultural Economics
Publication Date
11-2002
Volume
27
Issue
3
First Page
201
Last Page
216
ISSN
0169-5150
DOI
10.1016/S0169-5150(02)00080-4
Keywords
geographic information systems, land use in developing countries, remotely-sensed data, spatial analysis, spatial econometrics
Repository Citation
Nelson, Gerald C. and Geoghegan, Jacqueline, "Deforestation and land use change: Sparse data environments" (2002). Economics. 92.
https://commons.clarku.edu/faculty_economics/92