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Optimal replanting and cutting rule for coffee farmers in Vietnam

Author

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  • Thang, Tran Cong
  • Burton, Michael P.
  • Brennan, Donna C.
Abstract
This paper identifies the optimal cutting and replanting rule for coffee farmers in Vietnam. Some previous studies examined the optimal price at which to cut trees for coffee farmers in Vietnam but they have not investigated the relationship between the age of tree and the cutting point. Fixed-form optimization is applied to analyze a rule that links market coffee prices and age of tree with the cutting decision.

Suggested Citation

  • Thang, Tran Cong & Burton, Michael P. & Brennan, Donna C., 2009. "Optimal replanting and cutting rule for coffee farmers in Vietnam," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47638, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare09:47638
    DOI: 10.22004/ag.econ.47638
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    References listed on IDEAS

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    1. Victor Matheson, 2009. "Alternative methods of calculating optimal timber rotations: a critique of the Stokey/Lucas/Prescott tree-cutting problem," Applied Economics Letters, Taylor & Francis Journals, vol. 16(10), pages 1079-1081.
    2. Talaat El-Nazer & Bruce A. McCarl, 1986. "The Choice of Crop Rotation: A Modeling Approach and Case Study," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 127-136.
    3. Alvarez, Luis H R & Koskela, Erkki, 2003. "On Forest Rotation under Interest Rate Variability," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 10(4), pages 489-503, August.
    4. Earl O. Heady, 1954. "Simplified Presentation and Logical Aspects of Linear Programming Technique," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 36(5), pages 1035-1048.
    5. Earl R. Swanson, 1956. "Application of Programming Analysis to Corn Belt Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 408-419.
    6. Bruce L. Dixon & Richard E. Howitt, 1980. "Resource Production Under Uncertainty: A Stochastic Control Approach to Timber Harvest Scheduling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 499-507.
    7. Quoc V. Luong & Loren W. Tauer, 2006. "A real options analysis of coffee planting in Vietnam," Agricultural Economics, International Association of Agricultural Economists, vol. 35(1), pages 49-57, July.
    8. G. A. Peterson, 1955. "Selection of Maximum Profit Combinations of Livestock Enterprises and Crop Rotations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 37(3), pages 546-554.
    9. Abadi Ghadim, Amir K. & Pannell, David J., 1999. "A conceptual framework of adoption of an agricultural innovation," Agricultural Economics, Blackwell, vol. 21(2), pages 145-154, October.
    10. Margaret Insley & Kimberly Rollins, 2005. "On Solving the Multirotational Timber Harvesting Problem with Stochastic Prices: A Linear Complementarity Formulation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 735-755.
    11. Jia, Haili, 2006. "The optimal single forest rotation under climatic fluctuation effect," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35443, Southern Agricultural Economics Association.
    12. Oscar R. Burt & John R. Allison, 1963. "Farm Management Decisions With Dynamic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(1), pages 121-136.
    13. Chladna, Zuzana, 2007. "Determination of optimal rotation period under stochastic wood and carbon prices," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1031-1045, May.
    14. M. J. Paulo & A. Otten, 2007. "A Bayesian approach for exact optimal measurement and cutting times for a Eucalyptus production forest," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 61(3), pages 345-357, August.
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    Cited by:

    1. Nguyen Hung Anh & Wolfgang Bokelmann & Ngo Thi Thuan & Do Thi Nga & Nguyen Van Minh, 2019. "Smallholders’ Preferences for Different Contract Farming Models: Empirical Evidence from Sustainable Certified Coffee Production in Vietnam," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    2. Nguyen Hung Anh & Wolfgang Bokelmann & Do Thi Nga & Nguyen Van Minh, 2019. "Toward Sustainability or Efficiency: The Case of Smallholder Coffee Farmers in Vietnam," Economies, MDPI, vol. 7(3), pages 1-25, July.

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