Transitioning to Organic Crop Production: A Dynamic Programming Approach

被引:0
作者
Delbridge, Timothy A. [1 ]
King, Robert P. [2 ]
机构
[1] Calif Polytech State Univ San Luis Obispo, Agribusiness Dept, San Luis Obispo, CA 93407 USA
[2] Univ Minnesota, Dept Appl Econ, Minneapolis, MN 55455 USA
关键词
dynamic programming; organic farming; organic transition; real options; TERM STRUCTURE; SYSTEMS; PERFORMANCE; UNCERTAINTY; INVESTMENT; ROTATIONS; MINNESOTA; FUTURES; LAND;
D O I
暂无
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Despite evidence that organic cropping systems in the Midwest can be more profitable than conventional systems, only a small percentage of cropland has been certified as organic. This paper models the decision to transition to organic crop production as a dynamic programming problem in which investment is reversible but includes sunk costs. Results indicate that the risk and unrecoverable costs associated with organic transition lead to a significant option value, and this provides a partial explanation for low transition rates in the baseline scenario. Sensitivity to expected organic yield and price levels is explored, as are the costliness of reverse transition and the short-term effect of high conventional return levels.
引用
收藏
页码:481 / 498
页数:18
相关论文
共 50 条
  • [1] Dynamic production planning model: a dynamic programming approach
    Hamed Khaledi
    Mohammad Reisi-Nafchi
    [J]. The International Journal of Advanced Manufacturing Technology, 2013, 67 : 1675 - 1681
  • [2] Dynamic production planning model: a dynamic programming approach
    Khaledi, Hamed
    Reisi-Nafchi, Mohammad
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (5-8) : 1675 - 1681
  • [3] A computational approach for crop production of organic vegetables
    You, Peng-Sheng
    Hsieh, Yi-Chih
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 134 : 33 - 42
  • [4] A Dynamic Stochastic Programming model of crop rotation choice to test the adoption of long rotation under price and production risks
    Ridier, Aude
    Chaib, Karim
    Roussy, Caroline
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 252 (01) : 270 - 279
  • [5] A dynamic programming approach to achieving an optimal end-state along a serial production line
    Cheng, Shih-Fen
    Nicholson, Blake E.
    Epelman, Marina A.
    Reaume, Daniel J.
    Smith, Robert L.
    [J]. IIE TRANSACTIONS, 2013, 45 (12) : 1278 - 1292
  • [6] Alternative Strategies for Transitioning to Organic Production in Direct-Seeded Grain Systems in Eastern Washington I: Crop Agronomy
    Gallagher, Robert S.
    Pittmann, Dennis
    Snyder, Amanda M.
    Koenig, Richard T.
    Fuerst, E. Patrick
    Burke, Ian C.
    Hoagland, Lori
    [J]. JOURNAL OF SUSTAINABLE AGRICULTURE, 2010, 34 (05): : 483 - 503
  • [7] Optimal Crop Planning and Conjunctive Use of Surface Water and Groundwater Resources Using Fuzzy Dynamic Programming
    Safavi, Hamid R.
    Alijanian, Mohammad A.
    [J]. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2011, 137 (06) : 383 - 397
  • [8] Dynamic Programming Approach in Aggregate Production Planning Model under Uncertainty
    Marfuah, Umi
    Mutmainah
    Panudju, Andreas Tri
    Mansyuri, Umar
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (03) : 191 - 198
  • [9] Approximate stochastic dynamic programming for hydroelectric production planning
    Zephyr, Luckny
    Lang, Pascal
    Lamond, Bernard F.
    Cote, Pascal
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 262 (02) : 586 - 601
  • [10] A Consensus Approach to Dynamic Programming
    Laurini, Mattia
    Consolini, Luca
    Locatelli, Marco
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 8435 - 8440