Party system classification: A methodological inquiry

Author:

Golosov Grigorii V.1

Affiliation:

1. European University at St. Petersburg, St. Petersburg, Russia,

Abstract

Despite the recent spread of multi-scale approaches to party system classification, the most widely accepted criterion has always been the number of parties, often defined in terms of their relative sizes. Building on the existing body of qualitative classifications and quantitative techniques, this article proposes a method that can be used for defining party system types in operational terms, and distinguishing among them by a parsimonious criterion. The proposed method is based on representing information about seat distributions by party in graphical form, segmenting the resulting bounded diagram into regions, and identifying these regions as representations of different party system types. This makes the graphical representation, dubbed the relative-size triangle, instrumental both for building categorical classifications of the empirically observed party systems and for visualizing differences among them. For illustration, the proposed method is applied to a comprehensive set of post-World War II party systems.

Publisher

SAGE Publications

Subject

Sociology and Political Science

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Study of Party Systems;Political Party Research;2024

2. Form of government, electoral system, and party system fragmentation: A global comparison;Asian Journal of Comparative Politics;2023-05-22

3. Die Erforschung von Parteiensystemen;Parteienforschung;2022

4. A Reassessment of the Turkish Party System;Siyasal: Journal of Political Sciences;2021-10-31

5. Providing Goods and Votes? Federal Elections and the Quality of Local Governance in Russia;Europe-Asia Studies;2021-06-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3