Considerations of the Obstacles and Opportunities to Formalizing Cross-National Policy Transfer to the United States: A Case Study of the Transfer of Urban Environmental and Planning Policies from Germany
Considerations of the Obstacles and Opportunities to Formalizing Cross-National Policy Transfer to the United States: A Case Study of the Transfer of Urban Environmental and Planning Policies from Germany
复制标题
对美国跨国政策正式转移的障碍和机遇的思考:以德国城市环境和规划政策转移为例
DOI:
10.1068/c0865j
复制
发表时间:
2009
期刊:
影响因子:
--
通讯作者:
Dale Medearis
中科院分区:
文献类型:
--
作者:
David P. Dolowitz;Dale Medearis
Not enough has been written about the import, adaptation, and application of urban environmental and planning policies from abroad into the United States. Even less has been written about the voluntary cross-national transfer and application of environmental policies by American subnational actors and institutions. It is our intent to begin redressing this by discussing the transfer of urban environmental and planning policies from Germany to the United States during the early part of the 21st century. This discussion is informed by data drawn from governmental reports and planning statements and over thirty-five interviews with US urban environmental and planning practitioners operating in Germany and the United States. What we discover is that, unlike more rational models of policy transfer, the voluntary importation of environmental and planning policies into the US is seldom a problem-focused, goal-oriented process. Rather, what we find is that a better depiction of the transfer and adoption process is of a relatively anarchic situation. This appears to occur due to a range of institutional and cultural filters that predispose American policy makers against gathering (and using) information and experiences from abroad. We find that this filtering process tends to encourage policy makers to discount (or reject outright) the usefulness of overseas models and that, when they do engage in this process, any information gathered appears to be based less upon well-researched and analyzed data than embedded ‘tacit’ knowledge.