首页> 外文OA文献 >How Do Indian Voters Respond to Candidates with Criminal Charges : Evidence from the 2009 Lok Sabha Elections
【2h】

How Do Indian Voters Respond to Candidates with Criminal Charges : Evidence from the 2009 Lok Sabha Elections

机译:印度选民如何回应具有刑事指控的候选人:来自2009年Lok sabha选举的证据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper examines the response of voters to candidates who have reported that they have criminal charges against them, within the framework of a simple analytical model which assumes that criminal charges give rise to some stigma amongst the electorate, and result in a negative effect on vote shares. Campaigning, the cost of which is borne from candidates’ wealth, helps a candidate to increase his or her expected vote share by winning over the “marginal” voter. A criminal candidate gets an additional benefit since he can use the campaigning to convince voters of his innocence, and so reduce the negative effects of the stigma associated with criminal charges. We test the implications of the model using data for the 2009 Lok Sabha elections in India, and find support for all the implications of the model. Our empirical results show that voters do penalise candidates with criminal charges; however, this negative effect is reduced if there are other candidates in the constituency with criminal charges; besides, the vote shares are positively related to candidate wealth, with the marginal effect being higher for the candidates with criminal charges.
机译:本文在一个简单的分析模型的框架内,研究了选民对已报称对其有刑事指控的候选人的反应,该模型假设刑事指控在选民中引起了一些污名化,并对投票产生负面影响分享。竞选活动是由候选人的财富承担的,它通过赢得“边际”选民来帮助候选人增加其预期的选票份额。犯罪候选人获得了额外的好处,因为他可以利用竞选活动说服选民相信他的纯真,从而减少与刑事指控有关的污名化的负面影响。我们使用印度2009年Lob Sabha选举的数据测试该模型的含义,并获得对该模型所有含义的支持。我们的实证结果表明,选民确实会以刑事指控惩罚候选人。但是,如果选区中还有其他候选人遭到刑事指控,这种负面影响会减少;此外,投票份额与候选人的财富呈正相关,对被起诉的候选人的边际效应更高。

著录项

  • 作者

    Dutta Bhaskar; Gupta Poonam;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号