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The environmental resource curse hypothesis: the forest case

Author

Listed:
  • Olivier Damette

    (BETA UMR CNRS (Bureau d'Économie Théorique et Appliquée), Faculté de Droit et de Sciences économiques)

  • Philippe Delacote

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

Abstract

The resource curse hypothesis relies on the resource-rich countries tendency to grow slower than resource-poor countries. Focusing on forest issues, this paper extends the resource curse hypothesis to environmental degradation: how do forest endowment and forest harvesting affect deforestation? Our empirical results show that countries with important forest cover and forestry sectors seem to deforest more than others, which supports the hypothesis of an environmental resource curse. Moreover, countries implied in important timber certification processes have lower deforestation levels.

Suggested Citation

  • Olivier Damette & Philippe Delacote, 2009. "The environmental resource curse hypothesis: the forest case," Working Papers - Cahiers du LEF 2009-04, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    • Handle: RePEc:lef:wpaper:2009-04
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    Cited by:

    1. Culas, Richard J., 2012. "REDD and forest transition: Tunneling through the environmental Kuznets curve," Ecological Economics, Elsevier, vol. 79(C), pages 44-51.
    2. Ashraf, Jawaid & Pandey, Rajiv & de Jong, Wil, 2017. "Assessment of bio-physical, social and economic drivers for forest transition in Asia-Pacific region," Forest Policy and Economics, Elsevier, vol. 76(C), pages 35-44.
    3. Jahanger, Atif & Yu, Yang & Hossain, Mohammad Razib & Murshed, Muntasir & Balsalobre-Lorente, Daniel & Khan, Uzma, 2022. "Going away or going green in NAFTA nations? Linking natural resources, energy utilization, and environmental sustainability through the lens of the EKC hypothesis," Resources Policy, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    resource curse; tropical forest; deforestation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)

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