This article addresses the issues of the potential impacts of the introduction of black sigatoka into Puerto Rico under situations in which the government assists growers in managing the spread of the disease, with and without prohibitions on imports of plantains and bananas. An equilibrium displacement model is used to quantify the impact of black sigatoka. The results indicate that under both scenarios the net economic benefits to society were negative. Over the long term, the government would be well-advised to invest in research to develop plantain and banana varieties that are resistant to black sigatoka.

Contagious animal diseases like foot-and-mouth disease (FMD) are often referred to as economic diseases because of the magnitude of economic harm they can cause to producers and to local communities. This study demonstrates the local economic impact of a FMD outbreak in southwest Kansas. The expected economic impact of the disease hinges heavily on where the incidence of the disease occurs. Disease surveillance, management strategies, mitigation investment, and overall diligence clearly need to be much greater in concentrated cattle feeding and processing areas at large feeding operations in the region.

This analysis presents a theoretical model of firm response to border enforcement and evaluates both the intended and unintended effects under two enforcement regimes: destruction versus treatment of contaminated shipments. The results indicate that importers may respond to increased inspection by reducing shipments and decreasing due care. In response to increased pest populations, firms may reduce shipments and increase due care, indicating that an enforcement response may not be necessary. The analysis reveals the importance of the nature of the due-care technology, as well as the relationships underlying the probability of detection, in determining the effects of enforcement.

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 disadopted based on current and expected agricultural profits influenced by pest infestation. The theoretical analysis is based on an extension of two authors' findings in 1993 and incorporates the possibility that psychological factors, such as complacency, have a significant impact on technology adoption and hence disease establishment. An empirical application is performed for soybean rust.

Cogongrass (Imperata cylindrica), an invasive weed, is a threat to slash pine forests. Using a dynamic optimization model, we estimated the impact of cogongrass on the profitability of slash pine forestry under four scenarios: no threat of cogongrass infestation; infestation is uncertain, and no control measures are taken; infestation is uncertain, but control measures are undertaken by one landowner but not the neighbors; and infestation is uncertain, and control measures are undertaken by everyone. Results indicate that annual net returns per acre under each scenario, respectively, are $25.30, $16.97, $13.89, and $17.38. Results suggest fostering a cooperative behavior among landowners is desirable.

Dominant users of Lake Okeechobee water resources are agricultural producers and recreational anglers These uses will be directly affected, should the lake become infested with zebra mussels. We employ a probabilistic bioeconomic simulation model to estimate the potential impact of zebra mussels on consumptive water uses, recreational angling, and wetland ecosystem services under alternative public management scenarios. Without public management, the expected net economic impact from zebra mussels is –$244.1 million over 20 years. Public investment in prevention and eradication will yield a net expected gain of +$188.7 million, a superior strategy to either prevention or eradication alone.

Herein we explore the economic value of delaying inevitable environmental damage due to aquatic invasive species, which is a problem especially relevant to tropic and subtropical regions. We developed an analytical framework and tested it using a stated preference survey. The results suggest that delaying the impacts can be valuable. Other tests reveal characteristics of the willingness-to-pay estimates that are consistent with economic theory.

We present a bioeconomic model of three invasive aquatic plants (hydrilla, water hyacinth, and water lettuce) in 13 large Florida lakes, and simulate one-year and steady-state impacts of three control scenarios. We estimate that the steady-state annual net benefit of invasive plant control is $59.95 million. A one-year increase in control yields steady-state gains of $6.55 million per year, and a one-year lapse causes steady-state annual losses of $18.71 million. This model shows that increased control of hydrilla, water hyacinth, and water lettuce is optimal.

This research develops a multiregional optimal control model that incorporates regional allocation of a public budget for controlling invasive plants when regionally differential recreation demand functions and species control costs are present. Our equimarginal condition for optimal budget allocation equates the relative marginal economic benefits per dollar spent across regions. The model was applied to Florida Public Conservation Land regions, and results indicate that the magnitude of an annual management budget affects its distribution among species management regions, but the size of the intrinsic growth rate does not affect the pattern of budget allocation among regions.

The optimal size and location of an invasive species population depend upon spatially differentiated biological growth, economic costs, and damages. Although largely absent from most economic models, spatial considerations matter because the likelihood and magnitude of the invasion vary spatially and the threatened assets may be unevenly distributed across space. We map the current and future populations of an invasive species, Miconia calvescens, on Oahu, Hawaii, and the potential damages to water quantity, quality, and endangered-species habitat, and weigh these against treatment costs. We find that optimal densities vary from approximately 1% to 18% cover throughout the island.

This paper investigates the relationships among land-use change, biological invasion, and interspecific competition in a tropical ecosystem by linking a behavioral model of land conversion by agriculture and an ecological model of interspecific competition between a native species and an exotic invader. The model is used to examine how relative farm prices and access to forest areas influence land clearing and thus the ability of the invasive species to eliminate the native species. Simulations show that only a 20% rise in relative prices and a 2.75% increase in forest access are necessary for this outcome to occur.