Escaping Capability Traps Through Problem Driven Iterative Adaptation (PDIA)
Escaping Capability Traps Through Problem Driven Iterative Adaptation (PDIA)
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DOI：
10.1016/j.worlddev.2013.05.011
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发表时间：
2013-11-01
影响因子：
6.9
通讯作者：
Woolcock, Michael
中科院分区：
文献类型：
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作者：
Andrews, Matt;Pritchett, Lant;Woolcock, Michael
许多发展计划未能提高绩效，因为它们促进了同构模仿政府改变了他们的样子，而不是他们做了什么。本文提出了一种新的开发方法，问题驱动迭代适应（PDIA），它与标准方法形成对比。PDIA专注于解决本地指定和优先的性能问题（而不是移植“最佳实践”解决方案）。PDIA鼓励积极的偏离和实验（而不是要求代理按设计执行策略）。项目发展影响评估建立了反馈循环，促进快速学习（而不是事后评价的滞后学习）。PDIA让许多代理人参与制定可行的相关干预措施（而不是依赖外部专家）。(C)2013爱思唯尔有限公司保留所有权利。
Many development initiatives fail to improve performance because they promote isomorphic mimicry-governments change what they look like, not what they do. This article proposes a new approach to doing development, Problem-Driven Iterative Adaptation (PDIA), which contrasts with standard approaches. PDIA focuses on solving locally nominated and prioritized performance problems (instead of transplanting "best practice" solutions). PDIA encourages positive deviance and experimentation (instead of requiring that agents implement policies as designed). PDIA creates feedback loops that facilitate rapid learning (instead of lagged learning from ex post evaluation). PDIA engages many agents to create viable, relevant interventions (instead of depending on external experts). (C) 2013 Elsevier Ltd. All rights reserved.