Purpose : The main objective of this study is to estimate the impact of export insurance on export promotion using regional panel data in China. Research design, data, methodology : This study constructed a research model using the export supply function approach and the export demand function approach. Then annual panel data from 25 regions in China were collected from 2018 to 2022, and panel analysis was conducted based on this data set. Results : The results of the estimation using three panel data analysis methods are summarized as follows. First, China's regional GDP and population size are important explanatory factors for regional export volume fluctuations. This result is found in all three panel analysis methods. Second, export credit insurance in China has an export promotion effect. Since this estimation result appears only in the Pooled OLS estimation, the regional heterogeneity of this effect is estimated to be insignificant. Third, the effects of demand factors such as trading partners’ income, world income, or export volume on the fluctuations on China's regional export volume are statistically insignificant Conclusions : To summarize the results of this empirical analysis, export credit insurance has an export promotion effect in China's regional economy. However, there is no significant difference in this promotion effect by region. This is because, like other countries, export insurance in China is operated by government agencies. Therefore, export promotion through export credit insurance is one of China's important export strategies. These research results provide meaningful results for research on the effectiveness of export insurance in China, and also provide meaningful implications for the efficient operation of export insurance and future research in Korea.