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Is the environmental Kuznets curve for deforestation a threatened theory ? A meta-analysis of the literature

Author

Listed:
  • Johanna Choumert

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Pascale Combes Motel

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • K. Hervé Dakpo

    (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)

Abstract

Although widely studied, deforestation remains a common research topic. The relationship between economic development and deforestation is still in question. This paper presents a meta-analysis of Environmental Kuznets Curve (EKC) studies for deforestation. Using 69 studies, offering 547 estimations, we shed light on why EKC results differ. We investigate the incidence of choices made by authors (such as econometric strategy, measure of deforestation, geographical area, and presence of control variables) 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 are provided.

Suggested Citation

  • Johanna Choumert & Pascale Combes Motel & K. Hervé Dakpo, 2013. "Is the environmental Kuznets curve for deforestation a threatened theory ? A meta-analysis of the literature," Post-Print hal-02652346, HAL.
    • Handle: RePEc:hal:journl:hal-02652346
    DOI: 10.1016/j.ecolecon.2013.02.016
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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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