The economics of cropland conversion in Amazonia: The importance of agricultural rent
We use spatially efficient logit models to explore the role of economic incentives on the expansion of cropland in the Mato Grosso region between 2001 and 2004. An empirical measure for agricultural economic rent is used to quantify the desirability of a particular plot of land, which previous research proxies with variables such as distance to roads or urban areas, and simple climatic and edaphic variables. Results indicate that the measure for economic rent provides additional information and explanatory power to one of the most commonly used proxies, distance to roads. As predicted by economic theory, it is not simply access or variation in transportation costs that drives the spatial determinants of agricultural expansion, but the expected total returns from the venture. This suggests that spatially explicit rent models can be used to simulate the location and quantity of land-use change in an economically consistent framework. Such a framework lays the foundation for an enhanced methodology that can evaluate the ability of fiscal policy levers to influence the location of agricultural conversion with the ultimate aim of balancing economic and environmental goals.
If 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
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.:
- Conley, Timothy G. & Molinari, Francesca, 2007.
"Spatial correlation robust inference with errors in location or distance,"
Journal of Econometrics,
Elsevier, vol. 140(1), pages 76-96, September.
- Timothy Conley & Francesca Molinari, 2005. "Spatial correlation robust inference with Errors in Location or Distance," CeMMAP working papers CWP10/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Conley, Timothy G. & Molinari, Francesca, 2005. "Spatial Correlation Robust Inference with Errors in Location or Distance," Working Papers 05-12, Cornell University, Center for Analytic Economics.
- Kenneth M. Chomitz & Timothy S. Thomas, 2003. "Determinants of Land Use in Amazônia: A Fine-Scale Spatial Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1016-1028.
- 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.
- Newey, Whitney & West, Kenneth, 2014.
"A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix,"
Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
- Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
- Pfaff, Alexander S. P., 1999. "What Drives Deforestation in the Brazilian Amazon?: Evidence from Satellite and Socioeconomic Data," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 26-43, January.
- Alexander Pfaff & Juan Robalino & Robert Walker & Steven Aldrich & Marcellus Caldas & Eustaquio Reis & Stephen Perz & Claudio Bohrer & Eugenio Arima & William Laurance & Kathryn Kirby, 2007. "Road Investments, Spatial Spillovers, And Deforestation In The Brazilian Amazon," Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 109-123.
- Robert K. Kaufmann & Seth E. Snell, 1997. "A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 178-190.
- Vera-Diaz, Maria del Carmen & Kaufmann, Robert K. & Nepstad, Daniel C. & Schlesinger, Peter, 2008. "An interdisciplinary model of soybean yield in the Amazon Basin: The climatic, edaphic, and economic determinants," Ecological Economics, Elsevier, vol. 65(2), pages 420-431, April.
- Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
- David R. Oglethorpe, 1995. "Sensitivity Of Farm Plans Under Risk-Averse Behaviour: A Note On The Environmental Implications," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 227-232.
When requesting a correction, please mention this item's handle: RePEc:eee:ecolec:v:69:y:2010:i:7:p:1503-1509. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.