Policy Convergence under Decentralization: Lessons from Indonesia’s Response to the COVID-19 Pandemic

Gabriel Lele
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引用次数: 0

Abstract

Research on policy convergence has developed very significantly in comparative literature. However, little is known about the dynamics of policy convergence under unitary systems, assuming that they have greater convergence than under federal systems. This research maintains that unitary systems present no less intricate dynamics of policy convergence than the federal systems. Looking at a decentralized unitary system, this research argues that the dynamics of policy divergence is primarily driven by a need to pursue responsiveness to local priorities. It assesses the case of Indonesia in responding to the COVID-19 pandemic through qualitative and quantitative exploration, combining documentary and the named entity recognition (NER) methods. The main data were sourced from the selected national newspapers sanctioned by the Indonesian Press Board. The result points to several factors affecting policy convergence, namely, responsiveness, compliance, policy inconsistency, policy clarity, leadership, horizontal learning, and electoral politics. Of these factors, the most important one is policy responsiveness; that is, whether national and subnational policies converge or diverge is affected by the need of a subnational government to respond to local priorities. This research fills the void in the current research by understanding the interplay between domestic factors and policy convergence, thereby extending the debate on the dynamic of policy convergence under a decentralized unitary system. Working with the COVID-19 pandemic adds nuances to the literature on crisis-driven policy convergence dynamics. It also points to a practical implication on the importance of crafting better institutional arrangements on national-subnational relations to better respond to pressing issues in a more convergent manner.
权力下放下的政策趋同:印度尼西亚应对COVID-19大流行的经验教训
政策趋同的研究在比较文学中得到了很大的发展。然而,我们对单一制下政策趋同的动态知之甚少,假设单一制比联邦制有更大的趋同。这项研究认为,单一制系统呈现出的政策趋同的复杂动态并不比联邦制系统少。着眼于一个分散的单一系统,这项研究认为,政策分歧的动态主要是由对地方优先事项的响应需求驱动的。它通过定性和定量探索,结合文献和命名实体识别(NER)方法,评估印度尼西亚应对COVID-19大流行的案例。主要数据来自经印度尼西亚新闻委员会批准的选定的全国性报纸。结果指出了影响政策趋同的几个因素,即响应性、遵从性、政策不一致性、政策清晰度、领导力、横向学习和选举政治。在这些因素中,最重要的是政策响应能力;也就是说,国家和地方政策是趋同还是分化,取决于地方政府是否需要对地方优先事项作出反应。本研究通过理解国内因素与政策趋同之间的相互作用,填补了现有研究的空白,从而拓展了对分散单一制下政策趋同动态的讨论。与2019冠状病毒病大流行相关的研究为有关危机驱动的政策趋同动态的文献增添了细微差别。它还指出,就国家-地方关系制定更好的体制安排,以便以更一致的方式更好地应对紧迫问题的重要性具有实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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21
审稿时长
8 weeks
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