Ambient Taxes Under m-Dimensional Choice Sets, Heterogeneous Expectations, and Risk-Aversion

We consider the design of ambient taxes forrisk-neutral and risk-averse polluters whenpolluters and the regulatory agency haveasymmetric information about environmentalrelationships and probabilities associatedwith random events. Unlike prior work, we showthat under these conditions, optimal ambienttaxes must be firm-specific, and accompaniedby additional incentives to influencepolluters' choices of abatement techniques.     

When Two Wrongs Make a Right: Second-Best Point–Nonpoint Trading Ratios

Most research on point–nonpoint trading focuses on the choice of trading ratio (the rate point source controls trade for nonpoint controls), although the first-best ratio is jointly determined with the optimal number of permits. In practice, program managers often do not have control over the number of permits—only the trading ratio. The trading ratio in this case can only be second-best. We derive the second-best trading ratio and, using a numerical example of trading in the Susquehanna River Basin, we find the values are in line with current ratios, but for different reasons than those that are normally provided.     

IMPACTS OF TAXES TO REDUCE AGRICHEMICAL USE WHEN FARM POLICY IS ENDOGENOUS

The economic impacts of policies to reduce water pollution from agriculture have been explored in a number of studies. A standard assumption in this literature is that farm income support policies are given. However, the modern public choice view of agricultural policy suggests that significant environmental initiatives in agriculture would likely be accompanied by changes in farm income policies to protect those with a significant stake in agriculture. We explore the potential effects of such compensating adjustments on the costs and effectiveness of taxes on polluting chemical inputs in US corn production. We find that compensating farm policy adjustments can greatly increase the costs and reduce the effectiveness of the environmental protection measure. The results also indicate the potentially high costs of poor policy co-ordination.     

A computable market equilibrium model with markets for transferable discharge permits

This paper presents a mathematical programming model for numerically analyzing the impacts of a transferable discharge permit (TDP) system on resource allocation and the distribution of income in a competitive equilibrium setting. Key assumptions of the model are linear household commodity demands, Leontief production functions requiring both primary and produced factors, fixed primary factor supplies and linear pollution dispersion processes. A basic model is presented with discussion of how it may be modified to examine alternative TDP configurations. In addition, there is also a discussion of relationships between key primal and dual variables and of issues involved in actual numerical implementation of the model.     

The optimal control of emissions and renewable resource harvesting under uncertainty

A model of a renewable resource is developed where the growth and quality of the resource are reduced by pollution. Ambient pollution concentrations and the renewable resource stock are modeled as stochastic processes. Conditions for the optimal harvest plan and the optimal emissions rate are derived. The effect of stochastic variations on the optimal management of the resource is analyzed. The steady-state joint probability distribution of the resource and pollution stocks is shown to exist under certain conditions.     

Optimal Management of Multiple Renewable Resource Stocks: An Application to Minke Whales

Most bioeconomic models of efficient renewable resource management are constructed for a single harvesting ground. A bioeconomic model is developed in this paper to study the optimal management of renewable resources that are found in spatially distinct harvesting grounds. The model is applied to Minke whale management. Important inter-regional substitution effects are shown to exist. In addition, comparison with previous studies shows that multiple stock management is necessary for efficient management. Finally, the current Minke whale moratorium is shown to be inefficient unless significant nonmarket values exist.     

The Economics of Nonpoint Pollution Control

A timely literature on the design of economic incentives for nonpoint pollution control has been emerging. We describe the nonpoint pollution control problem, some of the peculiar challenges it poses for policy design, and the policy‐related contributions of the theoretical and empirical literature on the economics of nonpoint pollution.     

Labor force growth and the environment in Costa Rica

The introduction to this report of a study that examines the potential environmental impacts of labor force growth (LFG) in Costa Rica under LFG scenarios notes that LFG is an economically critical aspect of population growth that can affect the environment by expanding the economy's production possibilities frontier and/or by increasing consumption. The introduction also explains why Costa Rica is ideal for this study and identifies the study as unique because it constructs a computable general equilibrium (CGE) model using 10 environmental indicators and because it models uncertainty regarding the values of the economic parameters. The report continues by reviewing the literature linking population and environmental issues; detailing the CGE model; discussing the 10 environmental indicators (deforestation, erosion, pesticide use, overfishing, hazardous wastes, inorganic wastes, organic wastes, greenhouse gas emissions, air pollution, and water/sewer usage) used in the model; and explaining the method used to simulate the impacts of LFG. The major conclusions that emerged from the results of this study are that 1) the economy-wide impacts of LFG (and, thus, population growth) on the environment are important and vary significantly according to the amounts of physical and human capital present in the labor force and 2) the impacts of LFG vary substantially among environmental indicators.