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Public Sector Innovation Assessment×Policy Feedback Analysis×
분야Public AdministrationPublic Administration
계열Process / pipelineProcess / pipeline
기원 연도20081993
창시자OECD Observatory of Public Sector InnovationPaul Pierson
유형Framework for assessing public-sector innovation and capacityTheoretical-analytical framework for policy effects on politics
원전OECD Observatory of Public Sector Innovation (OPSI). Frameworks and case studies on public-sector innovation. Paris: OECD. link ↗Pierson, P. (1993). When Effect Becomes Cause: Policy Feedback and Political Change. World Politics, 45(4), 595–628. DOI ↗
별칭Government Innovation Assessment, Public Innovation Measurement, Public-Sector Innovation Capacity Assessment, Innovation in Government EvaluationPolicy Feedback Theory Analysis, Feedback Effects Analysis, Policy-as-Cause Analysis, Self-Reinforcing Policy Analysis
관련44
요약Public sector innovation assessment is a structured method for examining how, how much and how effectively a government organization innovates — generating and implementing novel services, processes, policies and governance arrangements that create public value. Drawing on the work of the OECD Observatory of Public Sector Innovation and on Mark Moore and Jean Hartley's analysis of innovations in governance, it classifies the types of innovation under way, assesses the conditions that enable or block them, evaluates their outcomes, and rates the organization's innovation capacity. Unlike private-sector innovation metrics built around patents and market share, public-sector assessment centers on public value, legitimacy and the distinctive incentives and constraints of government.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.
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