Abstract

The study aims to analyze and explain regional spatial policy change by applying policy subsystem variables based on ACF version 1998 by Sabatier and Jenkins-Smith. Policy subsystem variables consisting of policy core beliefs, advocacy coalition, and advocacy coalition resource are assumed having influence on spatial policy change. Qualitative approach through case study strategy is applied to investigate policy change and policy subsystem in natural context. Case of the study is changes upon spatial utilization in midtown area of Makassar City. Multi-stakeholder analysis tool by GTZ (2007) is applied to obtain and analyze the data. The study concludes that policy core beliefs change comes from advocacy coalition, while advocacy coalition resource does not affect spatial policy change of Makassar City. The finding implicates theoretically that ACF model version 1998 by Sabatier and Jenkins-Smith is inapplicable to explain spatial policy change in Makassar City.

Highlights

  • Spatial problem complexity in many developing countries, along with public demand on the solutions, gives strong motives for role of the government to adopt and implement spatial policy effectively

  • The study assumes that policy core beliefs and advocacy coalition’s resource may explain the process of spatial policy change

  • Actors filling in major advocacy coalition in regional spatial policy in Makassar City are Mayor, local and central politicians, business player (Hasan Basri who stands on top); while minor advocacy coalition are filled in by Governor of South Sulawesi, rent seeker politician either who stands in the same or other party

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Summary

Introduction

Spatial problem complexity in many developing countries, along with public demand on the solutions, gives strong motives for role of the government to adopt and implement spatial policy effectively. One of applied theories in the study to analyze and explain spatial policy change of Makassar City is Advocacy Coalition Framework (ACF) version 1998 by Sabatier and his colleagues. Ainuson (2009) applies ACF approach to explain water policy change in Ghana; Meijerink (2005) applies ACF model to explain flood control policy change in coastal areas in the Netherlands; Kübler (2001) applies ACF model to explain medical policy change in Swiss All findings of those studies support ACF hypothesis on policy changes, that there is competition among advocacy coalitions belief system concerning policy problems, and the competition encourages new objectives image. ACF model version 1998 by Sabatier and colleagues identifies policy core beliefs and advocacy coalition resource as causal driver in policy subsystem delivering policy change. The study assumes that policy core beliefs and advocacy coalition’s resource may explain the process of spatial policy change

Research Method
Policy Core Beliefs and Its Influence on Policy Change
Resource and Its Influence on Policy Change
Research Implication
Conclusion
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