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Economies of scale and the optimality of rotational dynamics in forestry

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  • Mette Termansen

Abstract

Forest harvesting is traditionally analyzed in terms of the Faustmann rotation model. This paper considers the identification of optimal forest harvest regimes using jump controls. This approach enables the structural assumptions of clear-cut technology and identical cycles in perpetuity which are imposed in a Faustmann model to be relaxed. Jump control models permit investigation of the biological and economic conditions which favour continuous growth management regimes as opposed to clear-cut harvest regimes. A numerical solution approach to the jump control model is presented. The link between the harvest cost function and the optimal biomass path is analyzed. Economies of scale are shown to generate rotational harvest as optimal policies. Copyright Springer Science+Business Media, Inc. 2007

Suggested Citation

  • Mette Termansen, 2007. "Economies of scale and the optimality of rotational dynamics in forestry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(4), pages 643-659, August.
    • Handle: RePEc:kap:enreec:v:37:y:2007:i:4:p:643-659
    DOI: 10.1007/s10640-007-9081-z
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    References listed on IDEAS

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    1. Samuelson, Paul A, 1976. "Economics of Forestry in an Evolving Society," Economic Inquiry, Western Economic Association International, vol. 14(4), pages 466-492, December.
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    3. Sun Joseph Chang, 1982. "An Economic Analysis of Forest Taxation's Impact on Optimal Rotation Age," Land Economics, University of Wisconsin Press, vol. 58(3), pages 310-323.
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    6. Tahvonen, Olli & Salo, Seppo & Kuuluvainen, Jari, 2001. "Optimal forest rotation and land values under a borrowing constraint," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1595-1627, October.
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    Citations

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    Cited by:

    1. Petri P Kärenlampi, 2019. "Wealth accumulation in rotation forestry – Failure of the net present value optimization?," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-19, October.
    2. Konstantinos Petridis & Garyfallos Arabatzis & Angelo Sifaleras, 2020. "Mathematical optimization models for fuelwood production," Annals of Operations Research, Springer, vol. 294(1), pages 59-74, November.
    3. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
    4. Nikolaos Mykoniatis & Richard Ready, 2016. "Spatial Harvest Regimes for a Sedentary Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 357-387, October.
    5. Alain Jean-Marie & Mabel Tidball & Michel Moreaux & Katrin Erdlenbruch, 2009. "The Renewable Resource Management Nexus: Impulse versus Continuous Harvesting Policies," Working Papers 09-03, LAMETA, Universtiy of Montpellier, revised Mar 2009.
    6. Coordes, Renke, 2016. "The emergence of forest age structures as determined by uneven-aged stands and age class forests," Journal of Forest Economics, Elsevier, vol. 25(C), pages 160-179.
    7. Nghiem Thi Hong Nhung, 2016. "Optimal Forest Management for Carbon Sequestration: A Case Study of Eucalyptus urophylla and Acacia mangium in Yen Bai Province, Vietnam," EEPSEA Research Report rr2016046, Economy and Environment Program for Southeast Asia (EEPSEA), revised Apr 2016.

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    Keywords

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    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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