We examine the management of livestock diseases from the producers' perspective, incorporating information and incentive asymmetries between producers and regulators. Using a dynamic model, we examine responses to different policy options including indemnity payments, subsidies to report at-risk...

This article looks at technology adoption in agriculture that is specifically targeted against invasive species. The analysis involves predicting the long-term distribution of technology choices when technology can be adopted and is adopted based on current and expected agricultural profits...

This paper models investment/entry decisions in a competitive industry that is subject to a quantity control on an input for production. The quantity control is implemented by auctioning licenses for the restricted input (e.g., a pollution permit or a production license). The paper shows that...

Replaced with revised version of paper 12/15/05.

Replaced with revised version of paper 06/18/08. Former title: Non-Linearity in Belief and Environmental Risk Dynamics

This paper estimates the direct and indirect impacts of the Pink Hibiscus Mealybug infestation on the economies of Florida and the rest of the United States. The approach involves a Markov chain analysis wherein both short run and long run expected damages from infestation are calculated. Use is...

This Paper designs a political economy model of invasive species management in order to explore the effectiveness of tariffs in mitigating the risk of invasion. The revenue interests of the government together with the interests of the lobby group competing with the imported agricultural...

In this paper the impact of public policies such as subsidies and taxation on invasive species management is explored in a Markov chain process framework. Private agents react to public incentives based upon their long term expected profits and have the option of taking measures such as...

The objective of this project is to design a decision support system for soybean rust management using gaming software that incorporates farmer's decision making in the face of risks from soybean rust. Learning from past actions and neighbor's actions are also incorporated. Farmers observe rust...