1986Journal of Public PolicyRequires access

Top-Down and Bottom-Up Approaches to Implementation Research: a Critical Analysis and Suggested Synthesis

Paul Sabatier

Open publisher page 1,863 citations

Abstract

Abstract This paper first reviews the implementation literature of the past fifteen years, with particular emphasis on the relative strengths and weaknesses of the ‘top-down’ and ‘bottom-up’ approaches. It also argues that the 4–6 year time-frame used in most implementation research misses many critical features of public policy-making. The paper then outlines a conceptual framework for examining policy change over a 10–20 year period which combines the best features of the ‘top-down’ and ‘bottom-up’ approaches with insights from other literatures.

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What this paper is about

Abstract This paper first reviews the implementation literature of the past fifteen years, with particular emphasis on the relative strengths and weaknesses of the ‘top-down’ and ‘bottom-up’ approaches. It also argues that the 4–6 year time-frame used in most implementation research misses many critical features of public policy-making. The paper then outlines a conceptual framework for examining policy change over a 10–20 year period which combines the best features of the ‘top-down’ and ‘bottom-up’ approaches with insights from other literatures.

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Available abstract

Abstract This paper first reviews the implementation literature of the past fifteen years, with particular emphasis on the relative strengths and weaknesses of the ‘top-down’ and ‘bottom-up’ approaches. It also argues that the 4–6 year time-frame used in most implementation research misses many critical features of public policy-making. The paper then outlines a conceptual framework for examining policy change over a 10–20 year period which combines the best features of the ‘top-down’ and ‘bottom-up’ approaches with insights from other literatures.

Key concepts: Top-down and bottom-up design, Frame (networking), Strengths and weaknesses, Computer science, Management science, Data science, Political science, Operations research

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