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The environmental Kuznets curve for deforestation: a threatened theory? A meta-analysis

Listed author(s):
  • Johanna Choumert

    (CERDI - Centre d'études et de recherches sur le developpement international - CNRS - Université d'Auvergne - Clermont-Ferrand I)

  • Pascale Combes Motel

    (CERDI - Centre d'études et de recherches sur le developpement international - CNRS - Université d'Auvergne - Clermont-Ferrand I)

  • K. Herve Dakpo

    (CERDI - Centre d'études et de recherches sur le developpement international - CNRS - Université d'Auvergne - Clermont-Ferrand I)

Although widely studied, deforestation remains a topical and typical issue. The relationship between economic development and deforestation is still at stake. This paper presents a meta-analysis of Environmental Kuznets Curve (EKC) studies for deforestation. Using 71 studies, offering 631 estimations, we shed light on why EKC results differ. We investigate the incidence of choices made by authors (econometric strategy, deforestation measure, temporal coverage, geographical area, measure of economic development...) on the probability of finding an EKC. After a phase of work corroborating the EKC, we find a turning point after the year 2001. Building on our results, we conclude that the EKC story will not fade until theoretical alternatives will be provided.

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Paper provided by HAL in its series Working Papers with number halshs-00691863.

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Date of creation: 27 Apr 2012
Handle: RePEc:hal:wpaper:halshs-00691863
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