Triggering Backlash

Jennifer Pan
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引用次数: 1

Abstract

This chapter captures the backlash—increased protests and lower legitimacy—triggered by prioritizing Dibao for targeted populations. The survey of 100 neighborhoods shows that when targeted populations receive Dibao benefits, there is greater contention over Dibao distribution in the neighborhood. Those who are turned away from benefits are more likely to protest and bargain for Dibao. Using large-scale social media data and deep learning to extract unique, off-line collective action events, this chapter shows that welfare-related protests are higher among cities that have a higher level of Dibao provision to targeted populations than cities that have lower levels. Although local administrators are adept at defusing protests, and collective action remains small and localized, people are left resentful and embittered. Data from a nationally representative survey shows that cities with a higher level of Dibao provision to targeted populations have lower assessment of government capabilities, especially in welfare provision and public responsiveness, as well as lower levels of political trust and satisfaction.
引发反应
本章捕捉到了由于优先为目标人群提供低保而引发的反弹——抗议活动的增加和合法性的降低。对100个社区的调查显示,当目标人群获得低保福利时,对低保在社区的分配存在更大的争议。那些被拒之门外的人更有可能抗议并为低保讨价还价。本章使用大规模社交媒体数据和深度学习来提取独特的线下集体行动事件,表明在向目标人群提供低保水平较高的城市中,与福利相关的抗议活动要高于低保水平较低的城市。尽管地方管理者善于平息抗议活动,集体行动仍然是小规模和局部化的,但人们仍然心怀怨恨和怨恨。一项具有全国代表性的调查数据显示,向目标人群提供低保水平越高的城市,对政府能力的评估越低,尤其是在福利提供和公众响应方面,政治信任和满意度水平也越低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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