Why Governments and Parties Manipulate Elections

Why Governments and Parties Manipulate Elections pdf epub mobi txt 电子书 下载 2025

出版者:Cambridge University Press
作者:Alberto Simpser
出品人:
页数:304
译者:
出版时间:2014-10-15
价格:GBP 20.99
装帧:Paperback
isbn号码:9781107448681
丛书系列:
图书标签:
  • 比较政治
  • 民主政治
  • 政治行动
  • 政党政治
  • 政治操纵
  • 选举舞弊
  • 政府行为
  • 政党政治
  • 政治学
  • 权力与腐败
  • 民主制度
  • 选举研究
  • 政治策略
  • 公共政策
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具体描述

Why do parties and governments cheat in elections they cannot lose? This book documents the widespread use of blatant and excessive manipulation of elections and explains what drives this practice. Alberto Simpser shows that, in many instances, elections are about more than winning. Electoral manipulation is not only a tool used to gain votes, but also a means of transmitting or distorting information. This manipulation conveys an image of strength, shaping the behavior of citizens, bureaucrats, politicians, parties, unions and businesspeople to the benefit of the manipulators, increasing the scope for the manipulators to pursue their goals while in government and mitigating future challenges to their hold on power. Why Governments and Parties Manipulate Elections provides a general theory about what drives electoral manipulation and empirically documents global patterns of manipulation.

作者简介

Alberto Simpser is Assistant Professor of Political Science at the University of Chicago. He has held research fellowships at Princeton University's Center for Globalization and Governance and at Stanford University's Hoover Institution. His research has been published in the Journal of Politics and Public Opinion Quarterly.

目录信息

Preface: more than winning;
1. Introduction and overview;
2. Electoral manipulation: what it is and how to measure it;
3. The puzzle of excessive and blatant manipulation;
4. More than winning: the consequences of excessive and blatant electoral manipulation;
5. The strategic logic of electoral manipulation;
6. The theory at work: evidence from case studies;
7. Indirect effects of electoral manipulation: quantitative evidence;
8. Conclusion.
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