2022年克拉斯诺达尔边疆区立法会议代表选举:特色选举行为

Yulia V. Kostenko
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引用次数: 0

摘要

本专题的相关性在于,俄罗斯联邦各主体立法议会的选举反映了议程和公众舆论的区域特点、政治自我组织和意识的水平、选民的意识形态取向。2022年的选举是在特殊军事行动条件下在克拉斯诺达尔边疆区举行的第一次选举,因此经历了议程和公民优先事项的变化。以克拉斯诺达尔边疆区为例,对这一问题的研究还不够充分。本文确立了2022年9月克拉斯诺达尔边疆区立法议会代表选举中的选举行为特征。这项工作是基于社会文化划分、中长期比较分析、价值论方法和制度主义的概念。作者指出了选民投票率增加的原因,政党支持率变化的原因,各地区对政党支持率的差异,立法变化的后果:实行三天投票,在单一议员选区当选的议员比在政党名单上当选的议员占优势。各政党在支持方面的地域差异包括农村地区和小城镇对“统一俄罗斯党”的偏好增加,而大城市则普遍支持反对党。本文的材料和结论适用于以克拉斯诺达尔边疆区为例预测2024年总统选举结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elections оf Deputies to the Legislative Assembly of the Krasnodar Krai in 2022: Features оf Electoral Behavior
The relevance of the topic is that the elections of legislative assemblies of the Russian Federation subjects re-flect the regional peculiarities of the agenda and public opinion, the level of political self-organization and awareness, ideological orientations of the electorate. The elections of 2022 are the first in the Krasnodar Krai held under conditions of a special military operation and, consequently, experienced changes in the agenda and priorities of citizens. Based on the example of Krasnodar Krai, the topic has been insufficiently researched. The article establishes the features of electoral behavior in the elections of deputies to the Legislative Assem-bly of the Krasnodar Krai (September 2022). The work is based on the concept of socio-cultural divisions, dia-chronic comparative analysis, axiological approach, and institutionalism. The author identified the reasons for the increase in voter turnout and changes in the level of support for political parties, territorial differences in support for political parties, the consequences of legislative changes: the introduction of three-day voting and the predominance of deputies elected in single-member districts over those elected on party lists. Territorial differences in support for political parties consist in increased preference for the “United Russia” party in rural areas and small towns, while support for opposition parties is typical for large cities. The materials and conclu-sions of the article are applicable in forecasting the results of the presidential elections of 2024 on the example of the Krasnodar Krai.
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