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Cost-benefit analysis methods for assessing air pollution control programs in urban environments-A review
S S Voorhees1, R Sakai, S Araki
1Department of Public Health and Oceupational Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo.
Cost-benefit analysis (CBA) is crucial for evaluating environmental policies, particularly for air pollution impacts on health, productivity, and amenities. This review details CBA methods, costs, and benefits valuation approaches for effective policy analysis.
Area of Science:
- Environmental Economics
- Public Policy Analysis
- Environmental Science
Background:
- Cost-benefit analysis (CBA) is the standard method for assessing environmental policy impacts.
- Air pollution poses significant risks to human health, economic productivity, and environmental amenities.
- Existing CBA frameworks require comprehensive review for air pollution policy evaluation.
Purpose of the Study:
- To review and synthesize cost-benefit analysis (CBA) methodologies specific to air pollution impacts.
- To identify and categorize the types of benefits and costs associated with air pollution.
- To provide a framework for applying CBA to urban air pollution and prevention policies.
Main Methods:
- Literature review of CBA methods for air pollution.
- Identification of benefit valuation techniques (market, stated, revealed preference).
- Description of cost valuation approaches (private, societal, governmental).
Main Results:
- Three key air pollution effects were identified: health, productivity, and amenity.
- Various valuation methods for benefits and costs were detailed, referencing established principles.
- Limitations in benefit and cost estimation were summarized, with comparisons of existing analyses.
Conclusions:
- CBA is essential for informed environmental policy decisions regarding air pollution.
- The conceptual framework presented can guide analyses of urban air pollution impacts and prevention.
- Standardized CBA approaches enhance the reliability and comparability of policy evaluations.
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