Roads, lands, markets, and deforestation : a spatial model of land use in Belize
AbstractRural roads promote economic development but also facilitate deforestation. To explore the tradeoffs between development and environmental damage posed by road building, the authors develop and estimate a spatially explicit model of land use. This model takes into account location and land characteristics and predicts land use at each point on the landscape. They find that: (a) market access and distance to roads strongly affect the probability of agricultural use, especially for commercial agriculture; (b) high slopes, poor drainage, and low soil fertility discourage both commercial and semi subsistence agriculture; and (c) semi-subsistence agriculture is especially sensitive to soil acidity and lack nitrogen (confirming anthropological findings that subsistence farmers are shrewd judges of soil). Spatially explicit models are analytically powerful because they exploit rich spatial variation in causal variables, including the precise siting of roads. They are useful for policy because they can pinpoint threats to particular critical habitats and watersheds. This model is a descendant of the venerable von Thunen model. It assumes that land will tend to be devoted to its highest-value use, taking into account tenure and other constraints. The value of a plot for a particular use depends on the land's physical productivity for that use and the farmgate prices of relevant inputs and outputs. A reduced-form, multinomial logit specification of this model calculates implicit values of land in alternative uses as a function of land location and characteristics. The resulting equations can then be used for prediction or analysis. The model was applied to cross-sectional data for 1989-92 for Belize, a forested country currently experiencing rapid expansion of both subsistence and commercial agriculture. A geographic information system was used to manage the spatial data and extract variables based on the three kilometer sample grid. Three land uses were distinguished:"natural"vegetation, comprising forests, woodlands, wetlands, and savanna; semi-subsistence agriculture, comprising traditional milpa (slash-and-burn) cultivation and other nonmechanized cultivation of annual crops; and commercial agriculture, consisting mainly of sugarcane, pasture, citrus, and mechanized production of corn and kidney beans. Two dimensions of distance to market were distinguished: the distance from each sample point to the road, and on-road travel time to the nearest town. Data on a wide variety of land and soil characteristics were also used.
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Bibliographic InfoPaper provided by The World Bank in its series Policy Research Working Paper Series with number 1444.
Date of creation: 30 Apr 1995
Date of revision:
Wetlands; Water Conservation; Environmental Economics&Policies; Climate Change; Land Use and Policies; Forestry; Environmental Economics&Policies; Climate Change; Energy and Environment; Wetlands;
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- Riverson, J. & Gaviria, J. & Thriscutt, S., 1991. "Rural roads in Sub-Saharan Africa: lessons from World Bank experience," Papers, World Bank - Technical Papers 141, World Bank - Technical Papers.
- Southgate, Douglas & Sierra, Rodrigo & Brown, Lawrence, 1991. "The causes of tropical deforestation in Ecuador: A statistical analysis," World Development, Elsevier, Elsevier, vol. 19(9), pages 1145-1151, September.
- Agrawal, Arun, 2001. "Common Property Institutions and Sustainable Governance of Resources," World Development, Elsevier, Elsevier, vol. 29(10), pages 1649-1672, October.
- Purnamita Dasgupta, 2007. "Common Property Resources as Development Drivers: A Study of Fruit Cooperative in Himachal Pradesh: India," Working Papers id:917, eSocialSciences.
- 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, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) 20314, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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