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Corruption, economic development, and auto loan delinquency: Evidence from China

机译:腐败,经济发展与汽车贷款拖欠:来自中国的证据

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摘要

We study the predictors of loan delinquency using a unique dataset on auto loans in China. In addition to confirming that demographic characteristics have predictive power for delinquency, we find a strong effect of corruption norms: individuals from provinces with a higher level of corruption accumulate significantly more overdue payments. Our evidence also indicates that better economic development significantly reduces the number of loan delinquencies. We mainly focus on late payments made during the grace period (within 10 days past due), which do not incur a penalty, so borrowers have no financial incentive for a timely payment and their actions should reflect cultural norms. It implies that economic development is positively related to cultural norms. We also observe convergence to the outcome predicted by the grace period: learning the absence of punishment for overdue payment in the first 10 days, borrowers become more delinquency-prone when the loan contracts have been in effect for a longer time.
机译:我们使用关于中国汽车贷款的唯一数据集来研究贷款拖欠的预测因素。除了确认人口统计特征对犯罪有预测力外,我们还发现了腐败规范的强大影响:腐败程度较高的省份中的个人积聚了明显更多的逾期付款。我们的证据还表明,更好的经济发展显着减少了贷款拖欠的数量。我们主要侧重于宽限期内(逾期10天之内)的逾期付款,该笔付款不会受到罚款,因此借款人没有经济动机来鼓励及时付款,其行为应反映文化规范。这意味着经济发展与文化规范正相关。我们还观察到了宽限期所预测结果的趋同性:了解到前10天没有因逾期还款而受到惩罚的情况,当借款合同生效的时间更长时,借款人就更容易拖欠债务。

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