方法对比

	Multiple Streams Analysis	Policy Feedback Analysis
领域	Public Policy	Public Administration
方法族	Process / pipeline	Process / pipeline
起源年份	1984	1993
提出者	John W. Kingdon	Paul Pierson
类型	Theory of agenda setting and the policy process	Theoretical-analytical framework for policy effects on politics
开创性文献	Kingdon, J. W. (1984). Agendas, Alternatives, and Public Policies. New York: Longman. ISBN: 9780321121851	Pierson, P. (1993). When Effect Becomes Cause: Policy Feedback and Political Change. World Politics, 45(4), 595–628.
别名	MSF, Multiple Streams Framework, Kingdon Multiple Streams, Policy Windows Analysis	Policy Feedback Theory Analysis, Feedback Effects Analysis, Policy-as-Cause Analysis, Self-Reinforcing Policy Analysis
相关	4	4
摘要	The Multiple Streams Framework (MSF) is a theory of agenda setting and policy change developed by John Kingdon in his 1984 book Agendas, Alternatives, and Public Policies. It explains why some issues rise to prominence and some solutions are adopted while others languish, by modelling the policy process as three largely independent 'streams' — problems, policies, and politics — that flow through the system. Change becomes possible when these streams are joined together at a fleeting 'policy window', often through the efforts of a 'policy entrepreneur'. The framework emphasises ambiguity, timing and chance over orderly, rational problem-solving.	Policy feedback analysis examines how policies, once enacted, reshape the politics that follow — turning yesterday's policy effects into today's political causes. Drawing on Paul Pierson's foundational 1993 article 'When Effect Becomes Cause,' it holds that policies are not just outputs of politics but powerful forces that create resources and incentives for groups, build administrative capacities, and shape how citizens understand their interests and their government. By tracing these resource and interpretive feedback effects over time, the method explains why some policies become self-reinforcing and politically durable, why others undermine their own support, and why policy change is often path-dependent and hard to reverse.