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Effectiveness analysis, including benefit-cost analysis and cost-effectiveness analysis, often encounters incommensurable values. This study explores problematic responses to these incommensurable benefits and costs in decision-making.

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Area of Science:

  • Decision Analysis
  • Environmental Economics
  • Public Policy Analysis

Background:

  • Effectiveness analysis, such as benefit-cost analysis (BCA) and cost-effectiveness analysis (CEA), is widely used for evaluating policy and project outcomes.
  • These methods often assume that benefits and costs can be commensurately valued, allowing for direct comparison.
  • However, real-world scenarios frequently involve benefits and costs that are incommensurable, meaning they cannot be directly ranked or equated.

Purpose of the Study:

  • To critically examine the challenges posed by incommensurable values in effectiveness analysis.
  • To outline and evaluate two primary responses to value incommensurability in decision-making contexts.
  • To highlight the limitations of current approaches in handling incomparable benefits and costs.

Main Methods:

  • Conceptual analysis of value incommensurability within economic evaluation frameworks.
  • Review and critique of two proposed strategies for addressing incommensurability: multi-dimensional measurement and acceptance of valuation limitations.
  • Argumentation regarding the inadequacy of both proposed responses in fully capturing true values.

Main Results:

  • Identifies significant challenges in applying traditional benefit-cost analysis and cost-effectiveness analysis when faced with incommensurable values.
  • Demonstrates that abandoning one-dimensional measures for multi-dimensional ones is problematic.
  • Shows that adhering to conventional methods while acknowledging their limitations also fails to adequately reflect true value relations.

Conclusions:

  • Neither abandoning conventional measurement nor accepting valuation limitations offers a satisfactory solution to incommensurability in effectiveness analysis.
  • The study suggests a need for novel approaches to handle incomparable values in policy and project evaluation.
  • Further research is required to develop more robust methods for decision-making under value incommensurability.