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Application of Comparative Dynamics in Stochastic Invasive Species Management in Agricultural Production

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  • Lu, Liang
  • Elbakidze, Levan

Abstract

In this study, we formulate a stochastic dynamic framework for pest control over the growing season taking into account forecasts of weather conditions and pest infestation expectations. Using stochastic envelope theorem and stochastic comparative dynamics, we analytically show how the stochastic correlation between the prediction errors should affect optimal pesticide usage path. As a case study, we apply the analytical results of the paper for pesticide use in the Palouse region of Washington where pea aphid is the primary threat for lentil production. By stochastic dynamic programming, our simulation shows the optimal dimethoate usage path, which illustrates our findings in the analytical part.

Suggested Citation

  • Lu, Liang & Elbakidze, Levan, 2012. "Application of Comparative Dynamics in Stochastic Invasive Species Management in Agricultural Production," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125226, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:125226
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    References listed on IDEAS

    as
    1. Cobourn, Kelly M. & Burrack, Hannah J. & Goodhue, Rachael E. & Williams, Jeffrey C. & Zalom, Frank G., 2011. "Implications of simultaneity in a physical damage function," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 278-289, September.
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    More about this item

    Keywords

    Crop Production/Industries; Farm Management;

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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