The environmental resource curse hypothesis: the forest case
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.Download Info
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Paper provided by Laboratoire d'Economie Forestiere, AgroParisTech-INRA in its series Working Papers - Cahiers du LEF with number 2009-04.Length: 9 pages
Date of creation: Sep 2009
Date of revision:
Handle: RePEc:lef:wpaper:2009-04
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Related research
Keywords: resource curse; tropical forest; deforestation;Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O13 - Economic Development, 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)
This paper has been announced in the following NEP Reports:
- NEP-AGR-2009-09-19 (Agricultural Economics)
- NEP-ALL-2009-09-19 (All new papers)
- NEP-ENV-2009-09-19 (Environmental Economics)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Luis H. R. Alvarez & Erkki Koskela, 2004.
"Does Risk Aversion Accelerate Optimal Forest Rotation under Uncertainty?,"
CESifo Working Paper Series
1285, CESifo Group Munich.
- Alvarez, Luis H.R. & Koskela, Erkki, 2006. "Does risk aversion accelerate optimal forest rotation under uncertainty?," Journal of Forest Economics, Elsevier, vol. 12(3), pages 171-184, December.
- Alvarez, Luis H.R. & Koskela, Erkki, 2003.
"On Forest Rotation Under Interest Rate Variability,"
Discussion Papers
840, The Research Institute of the Finnish Economy.
- Alvarez, Luis H R & Koskela, Erkki, 2003. "On Forest Rotation under Interest Rate Variability," International Tax and Public Finance, Springer, vol. 10(4), pages 489-503, August.
- Max, Wendy & Lehman, Dale E., 1988. "A behavioral model of timber supply," Journal of Environmental Economics and Management, Elsevier, vol. 15(1), pages 71-86, March.
- Alvarez, Luis H. R. & Koskela, Erkki, 2005.
"Wicksellian theory of forest rotation under interest rate variability,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 29(3), pages 529-545, March.
- Luis H. R. Alvarez & Erkki Koskela, 2001. "Wicksellian Theory of Forest Rotation under Interest Rate Variability," CESifo Working Paper Series 606, CESifo Group Munich.
- ERKKI Koskela & MARKKU Ollikainen, 1997. "Optimal Design of Forest Taxation with Multiple-Use Characteristics of Forest Stands," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 10(1), pages 41-62, July.
- Kuuluvainen, Jari, 1990. "Virtual price approach to short-term timber supply under credit rationing," Journal of Environmental Economics and Management, Elsevier, vol. 19(2), pages 109-126, September.
- Gregory S. Amacher & Arun S. Malik & Robert G. Haight, 2005. "Not Getting Burned: The Importance of Fire Prevention in Forest Management," Land Economics, University of Wisconsin Press, vol. 81(2).
- Brunette, Marielle & Couture, Stéphane, 2008. "Public compensation for windstorm damage reduces incentives for risk management investments," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 491-499, October.
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