| 摘要: |
| 本文基于中国家庭金融调查数据（CHFS），构建Probit和Tobit模型分别考察数字金融对居民家庭是否产生负债行为和家庭负债率的影响。研究发现：数字金融对居民家庭负债行为和家庭负债率都具有显著的促进作用，并且数字金融对家庭负债率的影响会因居民受教育水平和收入水平不同而产生异质性，即数字金融对中低学历和中低收入家庭负债率的提升作用更显著。在进行内生性和稳健性检验后，结论依然成立。本文对释放数字金融红利、警示过度负债带来财务风险具有一定的政策指导意义。 |
| 关键词: 数字金融；居民负债；负债率 |
| DOI： |
| 分类号:F832.5 |
| 基金项目: |
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| Research on the Impact of Digital Finance on Household Debt Behavior |
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PENG Xin-yu
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（College of Economics and Management，Southwest University）
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| Abstract: |
| Based on the data from the Chinese Household Finance Survey （CHFS），this paper constructed Probit and Tobit models to investigate the influence of digital finance on household debt behavior and household debt ratio respectively.There appear some findings：Digital finance plays a significant role in promoting household debt behavior and household debt ratio，and the impact of digital finance on household debt ratio will be heterogeneous due to different education level and income level of residents，that is，digital finance plays a more significant role in increasing the debt ratio of low and middle educated households as well as low and middle income households.The results remained true after accounting for endogeneity and robustness.This paper has certain policy guidance significance for releasing digital financial dividend and warning financial risk brought by excessive debt. |
| Key words: Digital Finance；Household Debt；Debt Ratio |
