IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v57y2015icp31-37.html
   My bibliography  Save this article

A comprehensive analysis of teak plantation investment in Colombia

Author

Listed:
  • Restrepo, Héctor I.
  • Orrego, Sergio A.

Abstract

A financial assessment of forest investments is comprehensive if the analysis includes reliable yield estimates, land expectation value (LEV) and risk calculation. All of these aspects were considered and applied to teak plantations in Colombia, an emergent economy where high forest productivity, low opportunity cost of land, and decreased financial/economic risk have substantially contributed to promote forest investments. The von Bertalanffy non-linear mixed effect model was used to estimate forest yields using data collected from 31 permanent sample plots, measured over a 17year period. A stochastic version of LEV along with other financial criteria was calculated by using a computer algorithm and Monte Carlo simulation. Finally, probabilities obtained from stochastic financial calculations were used in logistic models to estimate probabilities of success for a forest plantation project, a measure of risk assessment, after changing land prices. Results suggest that the potential forest productivity (i.e., the biological asymptote) ranges from 93 to 372m3ha−1. The mean annual increment is 27.8m3ha−1year−1, which is attained 6years after the forest plantation is established. Profitability analyses for teak plantations in Colombia suggest a LEV of US$7000ha−1. The risk analyses indicate negligible financial risk for forestlands whose prices are lower than US$2000ha−1.

Suggested Citation

  • Restrepo, Héctor I. & Orrego, Sergio A., 2015. "A comprehensive analysis of teak plantation investment in Colombia," Forest Policy and Economics, Elsevier, vol. 57(C), pages 31-37.
  • Handle: RePEc:eee:forpol:v:57:y:2015:i:c:p:31-37
    DOI: 10.1016/j.forpol.2015.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934115000878
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2015.05.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gregory S. Amacher & Markku Ollikainen & Erkki A. Koskela, 2009. "Economics of Forest Resources," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012480, December.
    2. Newman, D.H., 2002. "Forestry's golden rule and the development of the optimal forest rotation literature," Journal of Forest Economics, Elsevier, vol. 8(1), pages 5-27.
    3. Hildebrandt, Patrick & Knoke, Thomas, 2011. "Investment decisions under uncertainty--A methodological review on forest science studies," Forest Policy and Economics, Elsevier, vol. 13(1), pages 1-15, January.
    4. Daniel B. Hall & Michael Clutter, 2004. "Multivariate Multilevel Nonlinear Mixed Effects Models for Timber Yield Predictions," Biometrics, The International Biometric Society, vol. 60(1), pages 16-24, March.
    5. Laurence Reeves & Robert Haight, 2000. "Timber harvest scheduling with price uncertainty using Markowitz portfolio optimization," Annals of Operations Research, Springer, vol. 95(1), pages 229-250, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Christopher & Costello, Christopher, 2013. "The value of adaption: Climate change and timberland management," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 452-468.
    2. Amacher, Gregory S. & Brazee, Richard J. & Deegen, Peter, 2011. "Faustmann continues to yield," Journal of Forest Economics, Elsevier, vol. 17(3), pages 231-234, August.
    3. Couture, Stéphane & Cros, Marie-Josée & Sabbadin, Régis, 2016. "Risk aversion and optimal management of an uneven-aged forest under risk of windthrow: A Markov decision process approach," Journal of Forest Economics, Elsevier, vol. 25(C), pages 94-114.
    4. Busby, Gwenlyn M. & Binkley, Clark S. & Chudy, Rafal P., 2020. "Constructing optimal global timberland investment portfolios," Forest Policy and Economics, Elsevier, vol. 111(C).
    5. Salles, Thiago Taglialegna & Nogueira, Denismar Alves & Beijo, Luiz Alberto & Silva, Liniker Fernandes da, 2019. "Bayesian approach and extreme value theory in economic analysis of forestry projects," Forest Policy and Economics, Elsevier, vol. 105(C), pages 64-71.
    6. Macpherson, Morag F. & Kleczkowski, Adam & Healey, John R. & Hanley, Nick, 2017. "Payment for multiple forest benefits alters the effect of tree disease on optimal forest rotation length," Ecological Economics, Elsevier, vol. 134(C), pages 82-94.
    7. Morag F. Macpherson & Adam Kleczkowski & John Healey & Nick Hanley, 2015. "When to harvest? The effect of disease on optimal forest rotation," Discussion Papers in Environment and Development Economics 2015-19, University of St. Andrews, School of Geography and Sustainable Development.
    8. Creamer, Selmin F. & Genz, Alan & Blatner, Keith A., 2012. "The Effect of Fire Risk on the Critical Harvesting Times for Pacific Northwest Douglas-Fir When Carbon Price Is Stochastic," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-14, December.
    9. Sauter, Philipp A. & Mußhoff, Oliver & Möhring, Bernhard & Wilhelm, Stefan, 2016. "Faustmann vs. real options theory – An experimental investigation of foresters’ harvesting decisions," Journal of Forest Economics, Elsevier, vol. 24(C), pages 1-20.
    10. Morag F. Macpherson & Adam Kleczkowski & John R. Healey & Nick Hanley, 2018. "The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 565-588, July.
    11. Jette Bredahl Jacobsen & Frank Jensen & Bo Jellesmark Thorsen, 2018. "Forest Value and Optimal Rotations in Continuous Cover Forestry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(4), pages 713-732, April.
    12. Miguel A. Lejeune & Janne Kettunen, 2017. "Managing Reliability and Stability Risks in Forest Harvesting," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 620-638, October.
    13. Clasen, Christian & Griess, Verena C. & Knoke, Thomas, 2011. "Financial consequences of losing admixed tree species: A new approach to value increased financial risks by ungulate browsing," Forest Policy and Economics, Elsevier, vol. 13(6), pages 503-511, July.
    14. Hahn, W. Andreas & Härtl, Fabian & Irland, Lloyd C. & Kohler, Christoph & Moshammer, Ralf & Knoke, Thomas, 2014. "Financially optimized management planning under risk aversion results in even-flow sustained timber yield," Forest Policy and Economics, Elsevier, vol. 42(C), pages 30-41.
    15. Deegen, Peter & Matolepszy, Kai, 2015. "Economic balancing of forest management under storm risk, the case of the Ore Mountains (Germany)," Journal of Forest Economics, Elsevier, vol. 21(1), pages 1-13.
    16. Ran Wei & Alan Murray, 2015. "Spatial uncertainty in harvest scheduling," Annals of Operations Research, Springer, vol. 232(1), pages 275-289, September.
    17. Meilby, Henrik & Brazee, Richard J., 12. "Sustainibility and Long-term Dynamics of Forests: Methods and Metrics for Detection of Convergence and Stationarity," Scandinavian Forest Economics: Proceedings of the Biennial Meeting of the Scandinavian Society of Forest Economics, Scandinavian Society of Forest Economics, issue 40, May.
    18. Rakotoarison, Hanitra & Loisel, Patrice, 2016. "The Faustmann model under storm risk and price uncertainty: A case study of European beech in Northwestern France," MPRA Paper 85114, University Library of Munich, Germany.
    19. Susaeta, Andres & Carter, Douglas R. & Adams, Damian C., 2014. "Impacts of Climate Change on Economics of Forestry and Adaptation Strategies in the Southern United States," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(2), pages 1-16, May.
    20. Susanne Neuner & Thomas Knoke, 2017. "Economic consequences of altered survival of mixed or pure Norway spruce under a dryer and warmer climate," Climatic Change, Springer, vol. 140(3), pages 519-531, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:forpol:v:57:y:2015:i:c:p:31-37. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.