利益相关者协作作为成本效益分析的替代方案

K. Bradshaw
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摘要

本文对代理决策中的成本效益分析与“协同分析”进行了比较和对比。当数学模型驱动成本效益分析时,正在进行的利益相关者谈判驱动协作分析。成本效益分析依赖于经济学家在模型中输入数值,而协作分析依赖于受机构决策影响的群体和个人的不同观点。行政法学者对成本效益分析进行了详尽的研究,却忽视了机构对协作分析的广泛依赖。本文提出了立法机关和法院有时将协作分析和成本效益分析视为可互换的新观察。行政法学者可能会发现,将普通公民的审议过程等同于经济学家进行的数值计算是不正统的,甚至是不负责任的。然而,在一些情况下,协作分析可以很好地工作,而数值分析则不行:在数据稀缺、负担分布不均、规范值处于危险之中以及条件正在变化的情况下。在这种情况下,机构官员报告说,与其他工具相比,协作分析创造了更好的结果,确保了政策的事前社会批准,提供了适应性决策,并减少了冲突和诉讼风险。尽管协作分析的好处及其令人惊讶的广泛应用,但其潜力在很大程度上仍未得到开发。在首次识别和定义协作分析时,本文为机构、利益相关者和法院提供了理解协作分析并挖掘其好处所需的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stakeholder Collaboration as an Alternative to Cost-Benefit Analysis
This Article compares and contrasts cost-benefit analysis with “collaborative analysis” in agency decision-making. While mathematical models drive cost-benefit analysis, ongoing stakeholder negotiations drive collaborative analysis. Cost-benefit analysis relies on economists inputting numerical values into a model, whereas collaborative analysis relies on the diverse perspectives of groups and individuals affected by an agency’s decision. Administrative law scholars have exhaustively researched cost-benefit analysis while overlooking widespread agency reliance on collaborative analysis. This Article advances the novel observation that legislatures and courts sometimes treat collaborative analysis and cost-benefit analysis as interchangeable. Administrative law scholars might find it unorthodox, even irresponsible, to equate the deliberative process of average citizens with numerical calculations performed by economists. Yet, collaborative analysis works well in several contexts when numerical analysis does not: where data are scarce, burdens are unevenly distributed, normative values are at stake, and conditions are changing. Under such circumstances, agency officials report that collaborative analysis creates better outcomes, secures ex ante social approval of policies, provides adaptive decision- making, and reduces conflict and litigation risk relative to alternative tools. Despite the benefits of collaborative analysis and its surprisingly widespread use, its potential remains largely untapped. In identifying and defining collaborative analysis for the first time, this Article provides agencies, stakeholders, and courts the tools necessary to understand collaborative analysis and tap into its benefits.
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