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Deforestation and land use change: sparse data environments

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  • Nelson, Gerald C.
  • Geoghegan, Jacqueline

Abstract

Understanding determinants ofland 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.

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Bibliographic Info

Article provided by Blackwell in its journal Agricultural Economics.

Volume (Year): 27 (2002)
Issue (Month): 3 (November)
Pages: 201-216

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Handle: RePEc:eee:agecon:v:27:y:2002:i:3:p:201-216

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References

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  1. Anselin, Luc, 2002. "Under the hood Issues in the specification and interpretation of spatial regression models," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
  2. Deininger, Klaus W & Minten, Bart, 1999. "Poverty, Policies, and Deforestation: The Case of Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 47(2), pages 313-44, January.
  3. 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.
  4. 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.
  5. Vance, Colin & Geoghegan, Jacqueline, 2002. "Temporal and spatial modelling of tropical deforestation: a survival analysis linking satellite and household survey data," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
  6. Bell, Kathleen P. & Irwin, Elena G., 2002. "Spatially explicit micro-level modelling of land use change at the rural-urban interface," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
  7. Nancy E. Bockstael, 1996. "Modeling Economics and Ecology: The Importance of a Spatial Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1168-1180.
  8. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
  9. 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.
  10. Stephen K. Swallow & Piyali Talukdar & David N. Wear, 1997. "Spatial and Temporal Specialization in Forest Ecosystem Management Under Sole Ownership," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 311-326.
  11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
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Citations

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Cited by:
  1. Geoghegan, Jacqueline & Hewitt, Julie A. & Vance, Colin, 2003. "Time Series Analysis Of Satellite Data: Deforestation In Southern Mexico," 2003 Annual meeting, July 27-30, Montreal, Canada 22123, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Namaalwa, Justine & Sankhayan, Prem L. & Hofstad, Ole, 2007. "A dynamic bio-economic model for analyzing deforestation and degradation: An application to woodlands in Uganda," Forest Policy and Economics, Elsevier, vol. 9(5), pages 479-495, January.
  3. Mueller, Daniel & Munroe, Darla K., 2004. "Tradeoffs Between Rural Development Policies And Forest Protection: Spatially-Explicit Modeling In The Central Highlands Of Vietnam," 2004 Annual meeting, August 1-4, Denver, CO 20264, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  4. 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.
  5. 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.
  6. Upadhyay, T.P. & Solberg, Birger & Sankhayan, Prem L., 2006. "Use of models to analyse land-use changes, forest/soil degradation and carbon sequestration with special reference to Himalayan region: A review and analysis," Forest Policy and Economics, Elsevier, vol. 9(4), pages 349-371, December.
  7. KURKALOVA, Lyubov A. & WADE, Tara R., 2013. "Aggregated Choice Data And Logit Models: Application To Environmental Benign Practices Of Conservation Tillage By Farmers In The State Of Iowa," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 119-128.
  8. Parker, Dawn Cassandra, 2007. "Revealing "space" in spatial externalities: Edge-effect externalities and spatial incentives," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 84-99, July.
  9. Paul Voss & David Long & Roger Hammer & Samantha Friedman, 2006. "County child poverty rates in the US: a spatial regression approach," Population Research and Policy Review, Springer, vol. 25(4), pages 369-391, August.
  10. Parker, Dawn Cassandra & Munroe, Darla K., 2004. "Spatial Tests For Edge-Effect Externalities And External Scale Economies In California Agriculture," 2004 Annual meeting, August 1-4, Denver, CO 20000, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  11. Parker, Dawn C. & Munroe, Darla K., 2007. "The geography of market failure: Edge-effect externalities and the location and production patterns of organic farming," Ecological Economics, Elsevier, vol. 60(4), pages 821-833, February.
  12. Ancev, Tihomir & Odeh, Inakwu O.A., 2005. "Use of Spatially Referenced Data in Agricultural Economics Research," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137743, Australian Agricultural and Resource Economics Society.
  13. Levente Tímár, 2011. "Rural Land Use and Land Tenure in New Zealand," Working Papers 11_13, Motu Economic and Public Policy Research.

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