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Spatial Causality. An application to the Deforestation Process in Bolivia

Author

Listed:
  • Aliaga, Javier

    (Institute of Socio-Economic Research (IISEC). Bolivian Catholic University)

  • Herrera, Marcos

    (University of Zaragoza)

  • Leguía, Daniel

    (Institute of Socio-Economic Research (IISEC). Bolivian Catholic University)

  • Mur, Jesús

    (University of Zaragoza)

  • Ruiz, Manuel

    (Technical University of Cartagena)

  • Villegas, Horacio

    (Institute of Socio-Economic Research (IISEC). Bolivian Catholic University)

Abstract

This 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.

Suggested Citation

  • Aliaga, Javier & Herrera, Marcos & Leguía, Daniel & Mur, Jesús & Ruiz, Manuel & Villegas, Horacio, 2011. "Spatial Causality. An application to the Deforestation Process in Bolivia," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 183-198.
    • Handle: RePEc:ris:invreg:0037
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    References listed on IDEAS

    as
    1. Hans Blommestein & Peter Nijkamp, 1983. "Causality Analysis In Soft Spatial Econometric Models," Papers in Regional Science, Wiley Blackwell, vol. 51(1), pages 65-77, January.
    2. Herrera Gómez, Marcos & Mur Lacambra, Jesús & Ruiz Marín, Manuel, 2012. "Selecting the Most Adequate Spatial Weighting Matrix:A Study on Criteria," MPRA Paper 73700, University Library of Munich, Germany.
    3. Usha Nair‐Reichert & Diana Weinhold, 2001. "Causality Tests for Cross‐Country Panels: a New Look at FDI and Economic Growth in Developing Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(2), pages 153-171, May.
    4. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
    5. Eve Chiapello & A. Hurand, 2011. "Contribution," Post-Print hal-00681170, HAL.
    6. repec:bla:obuest:v:63:y:2001:i:2:p:153-71 is not listed on IDEAS
    7. Hood, M. V. & Kidd, Quentin & Morris, Irwin L., 2008. "Two Sides of the Same Coin? Employing Granger Causality Tests in a Time Series Cross-Section Framework," Political Analysis, Cambridge University Press, vol. 16(3), pages 324-344, July.
    8. repec:dau:papers:123456789/6159 is not listed on IDEAS
    9. Hannu Tervo, 2009. "Centres and Peripheries in Finland: Granger Causality Tests Using Panel Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(4), pages 377-390.
    10. Hoover, Kevin D., 2004. "Lost Causes," Journal of the History of Economic Thought, Cambridge University Press, vol. 26(2), pages 149-164, June.
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    Cited by:

    1. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.

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    More about this item

    Keywords

    Risk of deforestation; Bolivia; municipalities; causality;
    All these keywords.

    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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