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Social capital predicts corruption risk in towns

机译:社会资本预测城镇的腐败风险

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摘要

Corruption is a social plague: gains accrue to small groups, while its costs are borne by everyone. Significant variation in its level between and within countries suggests a relationship between social structure and the prevalence of corruption, yet, large-scale empirical studies thereof have been missing due to lack of data. In this paper, we relate the structural characteristics of social capital of settlements with corruption in their local governments. Using datasets from Hungary, we quantify corruption risk by suppressed competition and lack of transparency in the settlement’s awarded public contracts. We characterize social capital using social network data from a popular online platform. Controlling for social, economic and political factors, we find that settlements with fragmented social networks, indicating an excess of bonding social capital has higher corruption risk, and settlements with more diverse external connectivity, suggesting a surplus of bridging social capital is less exposed to corruption. We interpret fragmentation as fostering in-group favouritism and conformity, which increase corruption, while diversity facilitates impartiality in public life and stifles corruption.
机译:腐败是一种社会灾难:小集团获得收益,而其成本则由所有人承担。国家之间和国家内部其水平的显着差异表明社会结构与腐败发生率之间存在联系,但是由于缺乏数据,因此缺乏对它的大规模实证研究。在本文中,我们将定居点的社会资本的结构特征与当地政府的腐败联系起来。我们使用匈牙利的数据集,通过抑制竞争和和解协议授予的公共合同缺乏透明度来量化腐败风险。我们使用来自流行在线平台的社交网络数据来表征社交资本。在控制社会,经济和政治因素的情况下,我们发现,社交网络零散的定居点表明,过多的社会资本具有较高的腐败风险,而外部联系更加多样化的定居点表明,过剩的社会资本对腐败的影响较小。 。我们将支离破碎的行为解释为促进群体内的偏爱和整合,这会增加腐败,而多样性则有助于公共生活中的公正性并扼杀腐败。

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