绘制 1996 年至 2019 年印度的阶级和选举参与图

IF 0.3 Q4 POLITICAL SCIENCE
Divya Vaid
{"title":"绘制 1996 年至 2019 年印度的阶级和选举参与图","authors":"Divya Vaid","doi":"10.1177/23210230231206649","DOIUrl":null,"url":null,"abstract":"This article studies the relation between class and electoral participation. While the relation between political participation and many demographic variables such as caste, gender, age and location has been well researched in India, the same is not the case for the relation between class and electoral participation. Multiple measures of class (income, asset-wealth, occupation and education) are explored and conceptualized in this article, following which these measures of class are operationalized using the National Election Study datasets covering a twenty-three-year period (1996–2019). Each of these measures is used to trace the relation of class with two outcomes of electoral participation (turnout and party vote share) over time. Disaggregation by gender, locality and caste is provided. Finally, regression analysis to study the impact of these variables on turnout and vote share reveals the complexity of class. We find a complex picture of turnout and party choice with variation across different class measures. More significantly, variations in results raise questions about the usefulness of existing class indices. Further, we find that the type of measure being used affects different outcomes differently. For turnout, income and wealth seem to be better predictors, and for party vote share, subjective class is a better fit, whereas asset-wealth displays opposite patterns to income and subjective class in some instances.","PeriodicalId":42918,"journal":{"name":"Studies in Indian Politics","volume":" 8","pages":"225 - 257"},"PeriodicalIF":0.3000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping Class and Electoral Participation in India from 1996 to 2019\",\"authors\":\"Divya Vaid\",\"doi\":\"10.1177/23210230231206649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article studies the relation between class and electoral participation. While the relation between political participation and many demographic variables such as caste, gender, age and location has been well researched in India, the same is not the case for the relation between class and electoral participation. Multiple measures of class (income, asset-wealth, occupation and education) are explored and conceptualized in this article, following which these measures of class are operationalized using the National Election Study datasets covering a twenty-three-year period (1996–2019). Each of these measures is used to trace the relation of class with two outcomes of electoral participation (turnout and party vote share) over time. Disaggregation by gender, locality and caste is provided. Finally, regression analysis to study the impact of these variables on turnout and vote share reveals the complexity of class. We find a complex picture of turnout and party choice with variation across different class measures. More significantly, variations in results raise questions about the usefulness of existing class indices. Further, we find that the type of measure being used affects different outcomes differently. For turnout, income and wealth seem to be better predictors, and for party vote share, subjective class is a better fit, whereas asset-wealth displays opposite patterns to income and subjective class in some instances.\",\"PeriodicalId\":42918,\"journal\":{\"name\":\"Studies in Indian Politics\",\"volume\":\" 8\",\"pages\":\"225 - 257\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Indian Politics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23210230231206649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Indian Politics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23210230231206649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

本文主要研究阶级与选举参与的关系。虽然政治参与与许多人口变量(如种姓、性别、年龄和地点)之间的关系在印度得到了很好的研究,但阶级与选举参与之间的关系却并非如此。本文对阶级的多种衡量标准(收入、资产财富、职业和教育)进行了探索和概念化,随后使用涵盖23年(1996-2019)的国家选举研究数据集对这些阶级衡量标准进行了操作。这些措施中的每一个都用于追踪阶级与选举参与的两个结果(投票率和政党投票份额)随时间的关系。按性别、地区和种姓分类。最后通过回归分析研究这些变量对投票率和投票率的影响,揭示了阶级的复杂性。我们发现投票率和政党选择的复杂情况在不同的阶级措施中有所不同。更重要的是,结果的变化引发了对现有类别指数有用性的质疑。此外,我们发现所使用的测量类型对不同结果的影响是不同的。对于投票率,收入和财富似乎是更好的预测因素,而对于政党投票份额,主观阶层更适合,而资产财富在某些情况下与收入和主观阶层表现相反的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping Class and Electoral Participation in India from 1996 to 2019
This article studies the relation between class and electoral participation. While the relation between political participation and many demographic variables such as caste, gender, age and location has been well researched in India, the same is not the case for the relation between class and electoral participation. Multiple measures of class (income, asset-wealth, occupation and education) are explored and conceptualized in this article, following which these measures of class are operationalized using the National Election Study datasets covering a twenty-three-year period (1996–2019). Each of these measures is used to trace the relation of class with two outcomes of electoral participation (turnout and party vote share) over time. Disaggregation by gender, locality and caste is provided. Finally, regression analysis to study the impact of these variables on turnout and vote share reveals the complexity of class. We find a complex picture of turnout and party choice with variation across different class measures. More significantly, variations in results raise questions about the usefulness of existing class indices. Further, we find that the type of measure being used affects different outcomes differently. For turnout, income and wealth seem to be better predictors, and for party vote share, subjective class is a better fit, whereas asset-wealth displays opposite patterns to income and subjective class in some instances.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Studies in Indian Politics
Studies in Indian Politics POLITICAL SCIENCE-
CiteScore
0.70
自引率
20.00%
发文量
17
期刊介绍: SIP will publish research writings that seek to explain different aspects of Indian politics. The Journal adopts a multi-method approach and will publish articles based on primary data in the qualitative and quantitative traditions, archival research, interpretation of texts and documents, and secondary data. The Journal will cover a wide variety of sub-fields in politics, such as political ideas and thought in India, political institutions and processes, Indian democracy and politics in a comparative perspective particularly with reference to the global South and South Asia, India in world affairs, and public policies. While such a scope will make it accessible to a large number of readers, keeping India at the centre of the focus will make it target-specific.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信