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A spatial econometric approach to spillover effects between protected areas and deforestation in the Brazilian Amazon

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  • Ariane Manuela Amin

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Johanna Choumert

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Louis Combes

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Pascale Combes Motel

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Eric Nazindigouba Kere

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Galbert Ongono Olinga

    (CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne)

  • Sonia Schwartz

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

Abstract

Protected areas are increasingly used as a tool to fight against deforestation. This paper presents new evidence on the spillover effects that occur in the decision to deforest and the creation of protected areas in local administrative entities in Brazilian Legal Amazon over the 2001-2011 period. We also highlight the interdependence between these two decisions. We proceed in two steps. First, we assumed that protected areas are created to stop the negative effects of deforestation on biodiversity. In order to control for the non-random location of protected areas, biodiversity indicators are used as excluded instruments. This model is estimated using a spatial model with instrumental variables. Second, a simultaneous system of spatially interrelated cross sectional equations is used to take into account the interdependence between the decision to deforest and the creation of protected areas. Our results show (i) that deforestation activities of neighboring municipalities are complements and that (ii) there is evidence of leakage in the sense that protected areas may shift deforestation to neighboring municipalities. The net effect of protected areas on deforestation remains however negative; it is moreover stable across two sub-periods. Our results confirm the important role of protected areas to curb deforestation and thereby biodiversity erosion. Moreover, they show that strategic interactions deserve attention in the effectiveness of conservation policies.

Suggested Citation

  • Ariane Manuela Amin & Johanna Choumert & Jean-Louis Combes & Pascale Combes Motel & Eric Nazindigouba Kere & Jean-Galbert Ongono Olinga & Sonia Schwartz, 2015. "A spatial econometric approach to spillover effects between protected areas and deforestation in the Brazilian Amazon," Working Papers halshs-00960476, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00960476
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00960476v2
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    Cited by:

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    2. Delacote, Philippe & Robinson, Elizabeth J.Z. & Roussel, Sébastien, 2016. "Deforestation, leakage and avoided deforestation policies: A spatial analysis," Resource and Energy Economics, Elsevier, vol. 45(C), pages 192-210.
    3. Figueroa, Daniela & Galeana-Pizaña, J. Mauricio & Núñez, Juan Manuel & Anzaldo Gómez, Carlos & Hernández-Castro, J. Roberto & Sánchez-Ramírez, María del Mar & Garduño, Andrea, 2021. "Assessing drivers and deterrents of deforestation in Mexico through a public policy tool. The adequacy of the index of economic pressure for deforestation," Forest Policy and Economics, Elsevier, vol. 133(C).
    4. Leblois, Antoine & Damette, Olivier & Wolfersberger, Julien, 2017. "What has Driven Deforestation in Developing Countries Since the 2000s? Evidence from New Remote-Sensing Data," World Development, Elsevier, vol. 92(C), pages 82-102.
    5. Faria, Weslem Rodrigues & Almeida, Alexandre Nunes, 2016. "Relationship between openness to trade and deforestation: Empirical evidence from the Brazilian Amazon," Ecological Economics, Elsevier, vol. 121(C), pages 85-97.

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    More about this item

    Keywords

    Protected areas; deforestation; spatial interactions; simultaneous equations; Brazil; Amazon;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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