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

Liang Lu and Levan Elbakidze

No 125226, 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington from Agricultural and Applied Economics Association

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.

Keywords: Crop Production/Industries; Farm Management (search for similar items in EconPapers)
Pages: 39
Date: 2012
New Economics Papers: this item is included in nep-agr and nep-env
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Working Paper: Application of Comparative Dynamics in Stochastic Invasive Species Management in Agricultural Production (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea12:125226

DOI: 10.22004/ag.econ.125226

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