Doctoral Dissertation Research in DRMS: When Does Evaluation Information Lead to Performance-Based Decision Outcomes at Development Banks?

DRMS 博士论文研究：评估信息何时会导致开发银行基于绩效的决策结果？

• 批准号: 0962436
• 负责人: Erika Weinthal
• 金额: $ 1.56万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-02-15 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0962436&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; DRMS; When

International organizations like development banks implement development programs in the world?s poorest places. Evaluation information about past programs can assist development banks in choosing the types of projects that will achieve the best results given scarce development financing. However, despite the commitment that development banks have made to evaluate their programs, there is very little evidence available about when and why evaluation information is actually used to improve decision-making. This research examines the factors that promote or impede the use of evaluation information in resource allocation decisions. Environmental programming has been a priority for development banks since the early-1990s and the environmental outcome of projects has been one of the most consistently measured types of evaluation information across many different programming sectors. As a consequence, the research focuses on environmentally-targeted and environmentally-risky projects. Project evaluations completed by four development banks since 1990 will be coded for several measures of environmental performance. This data will be used to model whether development banks decrease environmentally-risky financing to recipient countries and project types that failed to achieve environmental goals in the past and increase environmentally-targeted financing in cases where past efforts have been successful. These models will be combined with data from development bank staff interviews to produce one of the first rigorous tests of the factors that promote or impede the use of evaluation information in development bank decision-making. This research adds to existing knowledge about effective evaluation use in large organizations by going beyond self-reporting methods and actually verifying when and why evaluation impacts decision outcomes. Given the large sums of money being spent on both development assistance and evaluation, it is vital to understand what external political factors and internal organizational procedures support decision-making that fully utilizes evaluation results.

像开发银行这样的国际组织在世界上最贫穷的地方实施了发展计划。 有关过去计划的评估信息可以帮助开发银行选择鉴于稀缺的开发融资将取得最佳成果的项目类型。 但是，尽管发展银行已经做出了评估其计划的承诺，但关于何时以及为什么实际使用评估信息来改善决策的证据很少。 本研究研究了在资源分配决策中促进或阻碍评估信息使用的因素。 自1990年代初以来，环境编程一直是开发银行的优先事项，项目的环境结果一直是许多不同编程领域中最稳定的评估信息类型之一。 结果，该研究的重点是针对环保和环境风险的项目。自1990年以来，由四家开发银行完成的项目评估将用于多种环境绩效的衡量标准。 该数据将用于模拟开发银行是否将环境风险的融资减少给接受国和项目类型，这些项目在过去的努力成功的情况下未能实现环境目标并增加对环境目标的融资。 这些模型将与开发银行员工访谈的数据结合使用，以对促进或阻碍开发银行决策中使用评估信息的因素进行第一次严格的测试之一。 这项研究通过超越自我报告的方法并实际验证评估影响决策结果，从而增加了有关大型组织中有效评估使用的现有知识。 鉴于大量资金用于发展援助和评估，至关重要的是要了解哪些外部政治因素和内部组织程序支持完全利用评估结果的决策。