Anti-corruption and political trust: Evidence from China

IF 2.3 3区 经济学 Q2 ECONOMICS Journal of Economic Behavior & Organization Pub Date : 2025-06-01 Epub Date: 2025-04-22 DOI:10.1016/j.jebo.2025.107015
Ming Fang , Weizheng Lai , Congling Xia
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Abstract

How can anti-corruption efforts influence political trust in government? We investigate this question through the lens of China’s recent anti-corruption campaign, launched in 2013, which has disclosed many corruption investigations to the public for the first time. By analyzing a large individual panel dataset, we show that, on average, the campaign has reduced political trust, particularly among groups less informed about corruption before the campaign. We document strong heterogeneity in changes in political trust, possibly driven by prior political attitudes, as captured by previous unpleasant experiences with the government, pro-government indoctrination, and Confucian norms. Our results fit a model in which polarization is rationalized by different priors about the government. We also rule out several alternative explanations for our findings.
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反腐与政治信任:来自中国的证据
反腐败工作如何影响对政府的政治信任?我们通过中国最近在2013年发起的反腐运动来调查这个问题,该运动首次向公众披露了许多腐败调查。通过分析一个大型的个人小组数据集,我们发现,平均而言,竞选活动降低了政治信任,尤其是在竞选前对腐败了解较少的群体中。我们记录了政治信任变化的强烈异质性,这可能是由先前的政治态度驱动的,正如之前与政府的不愉快经历、亲政府的灌输和儒家规范所反映的那样。我们的结果符合一个模型,在这个模型中,对政府的不同先验使两极分化合理化。我们也排除了对我们的发现的几种其他解释。
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
392
期刊介绍: The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology and mathematics is particularly welcome.
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