Ecosystems involve interspecies interactions that can be influenced by human interventions. Prior work shows interventions that ignore these interactions cause efficiency-reducing ecosystem externalities. We show inefficiencies may also be attributable to nature, via interspecies interactions...

We employ a combination of survey design and econometric techniques to explore ways to deal with health concerns in restoration projects where environmental injuries are severe. We use data from a referendum contingent valuation survey for a natural resource restoration project to demonstrate...

We develop a model of honey bee foraging behavior that can be used to simulate crop yields as functions of honey bee densities. These yield functions help us understand the economic behavior of growers who rely on bees for pollination. One important simulation result for the case of almonds is...

Increasingly, environmental problems are recognized to involve linkages across multiple environmental variables (e.g., pollution and a fishery). Prior work on managing these complex, linked systems generally focuses on efficiency rather than implementation. However, implementation is important...

This paper describes the use of input-output modeling in estimating the economic impacts of the conservation reserve program (CRP) in North Dakota, discusses challenges faced in conducting the analysis, and examines lessons learned from the study. The study had two major phases: (1) a statewide...

This paper develops an option value model to examine the extent to which output price uncertainty creates incentives to adopt two interrelated components of site-specific technologies sequentially. It analyzes how the impact of uncertainty on the sequential adoption decision differs across...

Environmental regulations are hypothesized to have an impact on industry structure in manufacturing industries. A nonstationary Markov chain analysis shows that the capital expenditures required to meet environmental regulations is a statistically significant variable explaining increasing...

This study proposes non-parametric techniques for environmentally sensitive analysis of economic performance. The techniques are implemented using Canadian pulp and paper industry data covering the period from 1959 to 1994. The results indicate that productivity improvement has been more...

A multiple organic pollutant simulation/optimization model is developed to aid policy analysis of least cost approaches to wastewater management. Downstream impacts vary non-linearly with pollution loads due to non-linear constituent interactions. An iterative solution method is necessary. The...