框架(结构)
政策学习
隐性知识
社会学习
公司治理
知识管理
中国
业务
政治学
工程类
计算机科学
财务
结构工程
机器学习
法学
作者
Xiaohong Tan,Uwe Altrock,Jia Wang,Jun Yue
标识
DOI:10.1080/17535069.2022.2158042
摘要
This study aims to examine the experimental governance of urban regeneration in China from the perspective of social learning, through an empirical study of a pilot project called Kingway Brewery in Shenzhen. Single-loop and double-loop learning have contributed to policy innovation, through converting tacit knowledge from experimental pilot projects into explicit and codified knowledge in policy-making. Problem and strategy framing incrementally became more mature and structured, during the deliberative interaction of continuous experimental practice and social learning. In the micro processes of social learning and policy innovation, planners play a crucial role as intermediators and knowledge brokers.
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