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A Practical Algorithm for Multiple-Phase Control Systems in Agricultural and Natural Resource Economics

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  • Doole, Graeme J.

Abstract

Many important problems in agricultural and natural resource economics concern an intertemporal choice between alternate dynamic systems. This significance has motivated a theoretical literature generalizing the necessary conditions of Optimal Control Theory to multiple-phase problems. However, gaining detailed insight into their practical management is difficult because general numerical solution methods are not available. This paper resolves this deficiency through the development of a flexible and efficient computational algorithm based on a set of necessary conditions derived for finite-time, multiple-phase systems. Its effectiveness is demonstrated in an application to a nontrivial crop rotation problem.

Suggested Citation

  • Doole, Graeme J., 2009. "A Practical Algorithm for Multiple-Phase Control Systems in Agricultural and Natural Resource Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-21, April.
    • Handle: RePEc:ags:jlaare:50082
    DOI: 10.22004/ag.econ.50082
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    References listed on IDEAS

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    Cited by:

    1. MacEwan, Duncan & Howitt, Richard E., 2011. "Estimating Crop Rotations as Dynamic Cycles using Field Data," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103635, Agricultural and Applied Economics Association.
    2. MacEwan, Duncan & Howitt, Richard E., 2011. "An Empirical Model of Crop Rotations," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100581, Australian Agricultural and Resource Economics Society.

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