Modeling Deforestation and Land Use Change: Sparse Data Environments
AbstractLand use change in developing countries is of great interest to policymakers and researchers from many backgrounds. Concerns about consequences of deforestation for global climate change and biodiversity have received the most publicity, but loss of wetlands, declining land productivity, and watershed management are also problems facing developing countries. In developing countries, analysis is especially constrained by lack of data. This paper reviews modeling approaches for data-constrained environments that involve methods such as neural nets and dynamic programming and research results that link individual household survey data with satellite images using geographic positioning systems.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia with number 25723.
Date of creation: 2006
Date of revision:
Land Economics/Use; Q15; Q23; R14;
Other versions of this item:
- Alessandro De Pinto & Gerald C. Nelson, 2007. "Modelling Deforestation and Land-Use Change: Sparse Data Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 502-516, 09.
- Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
- Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Victor Aguirregabiria & Pedro Mira, 1999.
"Swapping the Nested Fixed-Point Algorithm: a Class of Estimators for Discrete Markov Decision Models,"
Computing in Economics and Finance 1999
332, Society for Computational Economics.
- Victor Aguirregabiria & Pedro Mira, 2002. "Swapping the Nested Fixed Point Algorithm: A Class of Estimators for Discrete Markov Decision Models," Econometrica, Econometric Society, vol. 70(4), pages 1519-1543, July.
- Gerald C. Nelson & Daniel Hellerstein, 1997.
"Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 79(1), pages 80-88.
- 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.
- Schatzki, Todd, 2003. "Options, uncertainty and sunk costs:: an empirical analysis of land use change," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 86-105, July.
- Robertson, Richard D. & Nelson, Gerald C., 2004. "An Assessment Of Workarounds For Spatial Effects In The Case Of Binary Probit," 2004 Annual meeting, August 1-4, Denver, CO 20234, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Nelson, Gerald C., 2002. "Introduction to the special issue on spatial analysis for agricultural economists," Agricultural Economics, Blackwell, vol. 27(3), pages 197-200, November.
- Nelson, Gerald C. & Geoghegan, Jacqueline, 2002. "Deforestation and land use change: sparse data environments," Agricultural Economics, Blackwell, vol. 27(3), pages 201-216, November.
- Chomitz, Kenneth M & Gray, David A, 1996. "Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize," World Bank Economic Review, World Bank Group, vol. 10(3), pages 487-512, September.
- De Pinto, Alessandro & Nelson, Gerald C., 2004. "A Dynamic Model Of Land Use Change With Spatially Explicit Data," 2004 Annual meeting, August 1-4, Denver, CO 20314, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Munroe, Darla K. & Southworth, Jane & Tucker, Catherine M., 2002. "The dynamics of land-cover change in western Honduras: exploring spatial and temporal complexity," Agricultural Economics, Blackwell, vol. 27(3), pages 355-369, November.
- Klaus Deininger & Bart Minten, 2002. "Determinants of Deforestation and the Economics of Protection: An Application to Mexico," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 943-960.
- Cropper, Maureen & Griffiths, Charles & Mani, Muthukumara, 1997. "Roads, population pressures, and deforestation in Thailand, 1976-89," Policy Research Working Paper Series 1726, The World Bank.
- Gerald C. Nelson & GVirginia Harris & Steven W. Stone, 2001. "Deforestation, Land Use, and Property Rights: Empirical Evidence from Darién, Panama," Land Economics, University of Wisconsin Press, vol. 77(2), pages 187-205.
- Vance, Colin & Geoghegan, Jacqueline, 2002. "Temporal and spatial modelling of tropical deforestation: a survival analysis linking satellite and household survey data," Agricultural Economics, Blackwell, vol. 27(3), pages 317-332, November.
- De Pinto, Alessandro & Nelson, Gerald C., 2006. "Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21307, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Li, Man & De Pinto, Alessandro & Ulimwengu, John M. & You, Liangzhi & Robertson, Richard D., 2012. "Impacts of Paving Roads for Development in the Democratic Republic of Congo: Deforestation and Biological Carbon Loss," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126672, International Association of Agricultural Economists.
- Aguirregabiria, Victor, 2009. "Estimation of Dynamic Discrete Games Using the Nested Pseudo Likelihood Algorithm: Code and Application," MPRA Paper 17329, University Library of Munich, Germany.
- Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.