Abstract
The level of macroeconomic development varies, resulting in different non-performing loan ratios for commercial banks. Based on the relevant data of macroeconomic indicators from 31 provinces and cities in China in 2022, this paper empirically studies the relationship between regional gross domestic product (GDP), average urban employment salaries, the proportion of the tertiary industry, per capita consumer expenditure, the number of recipients of unemployment insurance, and the number of recipients of old-age insurance, and the non-performing loan ratio using a multiple regression model. A general model is established and tested to determine the final model. The empirical research results indicate that the proportion of the tertiary industry and the number of recipients of unemployment insurance have a positive impact on non-performing loans, while average urban employment salaries, regional GDP, and the non-performing loan ratio have a negative impact. Finally, based on the conclusions drawn from this study, relevant policy recommendations are proposed to provide guidance for commercial banks in China to mitigate the risks of non-performing loans.
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