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Forest Conservation in Costa Rica when Nonuse Benefits are Uncertain but Rising

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  • G. Cornelis van Kooten
  • Robert A. Schipper

Abstract

Stochastic dynamic programming is used to investigate optimal holding of primary tropical forest in humid Costa Rica when future nonuse benefits of forest conservation are uncertain and increasing. The quasi-option value of maintaining primary forests is included as a component of investment in natural capital. Although the impact of uncertainty on conservation incentives is substantial, our results indicate that a rising trend in future benefits and compensation by the international community for beneficial spillovers are more important factors in determining optimal holdings of forest stocks. Without compensatory payments, however, further deforestation may be warranted. Copyright 2002, Oxford University Press.

Suggested Citation

  • G. Cornelis van Kooten & Robert A. Schipper, 2002. "Forest Conservation in Costa Rica when Nonuse Benefits are Uncertain but Rising," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 150-160.
    • Handle: RePEc:oup:ajagec:v:84:y:2002:i:1:p:150-160
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    File URL: http://hdl.handle.net/10.1111/1467-8276.00249
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    Cited by:

    1. Di Corato, Luca & Hess, Sebastian, 2013. "Farmland Investments in Africa: What’s the Deal?," Working Paper Series 2013:10, Swedish University of Agricultural Sciences, Department Economics.
    2. Calum G. Turvey, 2010. "Biography," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 5-20, May.
    3. Pablo C. Benítez & Timo Kuosmanen & Roland Olschewski & G. Cornelis van Kooten, 2006. "Conservation Payments under Risk: A Stochastic Dominance Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 1-15.
    4. King, Steven & Fraser, Iain, 2013. "Divestment of the English Forestry Estate: An economically sound choice?," Ecological Economics, Elsevier, vol. 88(C), pages 25-31.
    5. Luis H. R. Alvarez & Erkki Koskela, 2003. "A General Approach to the Stochastic Rotation Problem with Amenity Valuation," CESifo Working Paper Series 857, CESifo.
    6. Di Corato, Luca, 2012. "Optimal conservation policy under imperfect intergenerational altruism," Journal of Forest Economics, Elsevier, vol. 18(3), pages 194-206.
    7. Choi, Andy S. & Lee, Choong-Ki & Tanaka, Katsuya & Xu, Honggang, 2018. "Value spillovers from the Korean DMZ areas and social desirability," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 95-104.
    8. Corato, Luca Di & Hess, Sebastian, 2013. "A Dynamic Stochastic Programming Framework for Modeling Large Scale Land Deals in Developing Countries," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150190, Agricultural and Applied Economics Association.
    9. Luca Corato & Michele Moretto & Sergio Vergalli, 2013. "Land conversion pace under uncertainty and irreversibility: too fast or too slow?," Journal of Economics, Springer, vol. 110(1), pages 45-82, September.
    10. Desbureaux Sébastien & Eric Kéré Nazindigouba & Combes Motel Pascale, 2016. "Working Paper 238 - Impact Evaluation in a Landscape: protected natural forests, anthropized forested lands and deforestation leakages in Madagascar’s rainforests," Working Paper Series 2341, African Development Bank.
    11. Stefanie Engel & Charles Palmer & Luca Taschini & Simon Urech, 2012. "Cost-effective payments for reducing emissions from deforestation under uncertainty," GRI Working Papers 72, Grantham Research Institute on Climate Change and the Environment.
    12. Leroux, Anke D. & Whitten, Stuart M., 2014. "Optimal investment in ecological rehabilitation under climate change," Ecological Economics, Elsevier, vol. 107(C), pages 133-144.
    13. Reutemann, Tim & Engel, Stefanie & Pareja, Eliana, 2016. "How (not) to pay — Field experimental evidence on the design of REDD+ payments," Ecological Economics, Elsevier, vol. 129(C), pages 220-229.
    14. Pascual, Unai & Termansen, Mette & Hedlund, Katarina & Brussaard, Lijbert & Faber, Jack H. & Foudi, Sébastien & Lemanceau, Philippe & Jørgensen, Sisse Liv, 2015. "On the value of soil biodiversity and ecosystem services," Ecosystem Services, Elsevier, vol. 15(C), pages 11-18.
    15. Baerenklau, Kenneth A. & Knapp, Keith C., 2005. "A Stochastic-Dynamic Model of Costly Reversible Technology Adoption," 2005 Annual meeting, July 24-27, Providence, RI 19156, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. G. Cornelis van Kooten & Tim Bogle & Frans P. de Vries, 2012. "Rent Seeking and the Smoke and Mirrors Game in the Creation of Forest Sector Carbon Credits: An Example from British Columbia," Working Papers 2012-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    17. Girma, Hiywot Menker & Hassan, Rashid M. & Hertzler, Greg, 2012. "Forest conservation versus conversion under uncertain market and environmental forest benefits in Ethiopia: The case of Sheka forest," Forest Policy and Economics, Elsevier, vol. 21(C), pages 101-107.
    18. Rafat Alam & Nguyen Quyen, 2018. "The conversion of biodiversity-rich land and ecosystem services," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 157-178, January.
    19. Di Corato, Luca & Gazheli, Ardjan & Lagerkvist, Carl-Johan, 2013. "Investing in energy forestry under uncertainty," Forest Policy and Economics, Elsevier, vol. 34(C), pages 56-64.
    20. Leroux, Anke D. & Martin, Vance L. & Goeschl, Timo, 2009. "Optimal conservation, extinction debt, and the augmented quasi-option value," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 43-57, July.
    21. Robin Naidoo & Taylor H Ricketts, 2006. "Mapping the Economic Costs and Benefits of Conservation," PLOS Biology, Public Library of Science, vol. 4(11), pages 1-12, October.

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