Spatial Causality. An application to the Deforestation Process in Bolivia
AbstractThis paper analyses the causes of deforestation for a representative set of Bolivian municipalities. The literature on environmental economics insists on the importance of physical and social factors. We focus on the last group of variables. Our objective is to identify causal mechanisms between these factors of risk and the problem of deforestation. To this end, we present a testing strategy for spatial causality, based on a sequence of Lagrange Multipliers. The results that we obtain for the Bolivian case confirm only partially the traditional view of the problem of deforestation. Indeed, we only find unequivocal signs of causality in relation to the structure of property rights.
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Bibliographic InfoArticle provided by Asociación Española de Ciencia Regional in its journal Investigaciones Regionales.
Volume (Year): (2011)
Issue (Month): 21 ()
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More information through EDIRC
Risk of deforestation; Bolivia; municipalities; causality;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
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The Quarterly Journal of Economics,
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- Venet, Baptiste & Hurlin, Christophe, 2001. "Granger Causality Tests in Panel Data Models with Fixed Coefficients," Economics Papers from University Paris Dauphine 123456789/6159, Paris Dauphine University.
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