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Animal Waste, Water Quality and Human Health

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434<strong>Animal</strong> <strong>Waste</strong>, <strong>Water</strong> <strong>Quality</strong> <strong>and</strong> <strong>Human</strong> <strong>Health</strong>for a fixed amount of funding that has been allocated to achieve a policy objective.The drawback of cost-effectiveness analysis is that it does not identify the benefitsof actions or the willingness of society to pay for improvements. For these reasons,CBA is, if practicable, the evaluation approach of choice.The various steps distinguished in a CEA are described below:Step 1: Define the objective involved.Step 2: Determine the extent to which the objective is met.Step 3: Identify sources of pollution <strong>and</strong> impacts now <strong>and</strong> in the future over theappropriate time horizon.Step 4: Identify measures to bridge the gap between the reference (baseline) <strong>and</strong>target situation.Step 5: Assess the effectiveness of these measures in reaching the objective.Step 6: Assess the costs of these measures.Step 7: Rank measures in terms of increasing unit costs.Step 8: Assess the least cost way to reach the objective.Once again, carrying out a CEA is a multi-disciplinary exercise. A number ofapproaches are used in practice at varying levels of complexity, scale,comprehensiveness <strong>and</strong> completeness for carrying out a CEA. These arediscussed, for example, in Zhang & Folmer (1998). A distinction is madebetween bottom-up <strong>and</strong> top-down approaches. The bottom-up approach focuseson technological details of measures <strong>and</strong> their impact on individual enterprises(micro level), whereas top-down approaches usually consider the widereconomic impacts of pollution abatement measures <strong>and</strong> strategies, often withoutdetailed technical specification of the proposed measures (macro level).Economic evaluation using CBA or CEA involves multiple assumptions <strong>and</strong>often produces uncertain results. Estimates of the costs <strong>and</strong> benefits associatedwith alternative interventions rely on data to the extent that they are available,relevant, <strong>and</strong> accurate, but also rely on judgments, values, assumptions, <strong>and</strong>extrapolations. When undertaking economic evaluation, the sources ofuncertainty should be identified, characterized, <strong>and</strong> communicated clearly, forexample by conducting a sensitivity analysis. In this respect, reporting on theuncertainties <strong>and</strong> conducting sensitivity analyses are important components ofany evaluation <strong>and</strong> the presentation of benefits <strong>and</strong> costs of an interventionshould not be expressed as though they are precise measures of actual economiccosts <strong>and</strong> benefits.It may also be necessary to consider intervention options that differ in thetemporal pattern of benefits <strong>and</strong> costs, or that differ in their duration. It is then

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