Bandingkan metode

	Policy Network Analysis	Policy Feedback Analysis
Bidang	Public Policy	Public Administration
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1992	1993
Pencetus	R. A. W. Rhodes & David Marsh (British school); broader governance-network tradition	Paul Pierson
Tipe	Analysis of inter-organisational policy relationships	Theoretical-analytical framework for policy effects on politics
Sumber perintis	Marsh, D., & Rhodes, R. A. W. (Eds.) (1992). Policy Networks in British Government. Oxford: Clarendon Press. ISBN: 9780198278528	Pierson, P. (1993). When Effect Becomes Cause: Policy Feedback and Political Change. World Politics, 45(4), 595–628.
Alias	Policy Networks, Governance Network Analysis, Policy Network Approach	Policy Feedback Theory Analysis, Feedback Effects Analysis, Policy-as-Cause Analysis, Self-Reinforcing Policy Analysis
Terkait	4	4
Ringkasan	Policy network analysis examines policymaking as the product of relationships among interdependent actors — government agencies, interest groups, experts and others — who exchange resources such as information, money, legitimacy and authority. In the influential British tradition associated with R. A. W. Rhodes and David Marsh, policy networks range along a continuum from tightly knit, exclusive 'policy communities' to loose, open 'issue networks', and the type of network is held to shape policy outcomes. More broadly, the approach applies the concepts and tools of social-network analysis to governance, treating the structure of ties among actors as a key explanatory variable.	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.