Democracies employ elections at various scales to select officials at the corresponding levels of administration. The geographical distribution of political opinion, the policy issues delegated to each level, and the multilevel interactions between elections can all greatly impact the makeup of these representative bodies. This perspective is not new: the adoption of federal systems has been motivated by the idea that they possess desirable traits not provided by democracies on a single scale. Yet most existing models of polarization do not capture how nested local and national elections interact with heterogeneous political geographies. We begin by developing a framework to describe the multilevel distribution of opinions and analyze the flow of variance among geographic scales, applying it to historical data in the United States from 1912 to 2020. We describe how unstable elections can arise due to the spatial distribution of opinions and how tradeoffs occur between national and local elections. We also examine multi-dimensional spaces of political opinion, for which we show that a decrease in local salience can constrain the dimensions along which elections occur, preventing a federal system from serving as an effective safeguard against polarization. These analyses, based on the interactions between elections and opinion distributions at various scales, offer insights into how democracies can be strengthened to mitigate polarization and increase electoral representation.
翻译:政治见解的地域分布、向各级下放的政策问题以及选举之间的多层次互动,都能够对这些代表机构的组成产生巨大影响。这种观点并不是新颖的:联邦制度的采用,其动机是它们拥有并非由民主政体单一规模提供的可取特征。然而,大多数现存的两极分化模式并不反映嵌入的地方和国家选举如何与各种不同的政治地理结构相互作用。我们首先建立一个框架,描述不同层次的意见分布,分析地理规模之间的差异,将其应用于美国1912年至2020年的历史数据。我们描述了由于意见的空间分布以及全国和地方选举之间的取舍如何发生,选举会如何出现不稳定。我们还研究了多维的政见空间,我们为此表明,地方的显著程度的下降可以限制选举的层面,使联邦制度无法起到有效防止两极分化的作用。这些分析基于各种规模的选举与意见分配之间的相互作用,使人们深入了解如何加强民主政体,以缓解两极分化并增加选举代表制。