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Serial and comparative analysis of innovation policy change

机译:创新政策变更的系列分析和比较分析

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摘要

Much of the existing literature on innovation policy analyzes policy change as an outcome of rational, cognitive processes, where the availability of new information prompts policy-makers to rethink and revise their policies. This paper aims to broaden this perspective by building a new methodological approach, Serial Comparative Analysis (SCA), to the analysis of policy change. SCA is proposed as an analytical perspective that sheds light on the social and political complexities of policy-making, and thus allows for a more nuanced understanding of the dynamics of policy change. SCA builds on the archaeological approach to discourse, and basic methodological principles of ethnographic inquiry. By conceptualizing a policy domain as a discursive formation, SCA provides insights into the socio-historical conditions under which a specific policy emerges, forms and transforms. While other methodological approaches may adopt the presumption that policy change is a causal outcome of new information used in policy-making, SCA views policy change as something that is discursively constructed and negotiated in specific institutional and historical settings. In doing so, SCA brings to light the rules that organize the truth-values of policy discourses in particular contexts, and elucidates how changes in these rules bring about changes in policy.
机译:现有的有关创新政策的许多文献都将政策变化分析为理性的认知过程的结果,在此过程中,新信息的出现促使决策者重新思考和修订其政策。本文旨在通过建立一种新的方法论方法,即序列比较分析(SCA)来分析政策变化,从而拓宽这一观点。提出将SCA作为一种分析视角,可以阐明决策制定的社会和政治复杂性,从而可以对政策变化的动态有更细微的了解。 SCA建立在话语的考古学方法以及人种学研究的基本方法论原理之上。通过将策略域概念化为一种话语形式,SCA提供了对社会历史条件的洞察力,在这些条件下,特定的政策就会出现,形成和转变。尽管其他方法论方法可能会认为政策变更是决策中使用的新信息的因果结果,但SCA认为政策变更是在特定的制度和历史环境中通过讨论和建构的方式。通过这样做,SCA揭示了在特定上下文中组织政策话语真值的规则,并阐明了这些规则的变化如何带来政策变化。

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