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As information technology has been applied more broadly and transportation infrastructure has improved,persistent debate has existed as to the question of whether geographic distance influences enterprise financing costs (EFCs).Through mining big data regarding industrial enterprises and commercial bank branches (CBBs) in the Beijing-Tianjin-Hebei region,this paper conducts quantitative analysis of correlation between the EFCs and their distance to CBBs as well as the number of CBBs within a 1-5 km radius,and investigates how geographic factors affect EFCs.The results indicate the following: (1) In overall terms,the shorter the distance to CBBs and the greater the number of CBBs within a 1-5 km radius,the lower the EFCs.(2) Distance to CBBs and number of CBBs within a 1-5 km radius significantly influence state-owned and non-state-owned enterprises,with the effect on non-state-owned enterprises being more pronounced.(3) The EFCs in Beijing and Tianjin are not correlated with distance to CBBs,and negatively correlated to the number of CBBs within a 1-5 km radius;the EFCs in Hebei Province are positively correlated with distance to CBBs,and negatively correlated with the number of CBBs within a 1-5 km radius.(4) Distance to CBBs has a more significant impact on enterprises engaged in heavy industry and labor-intensive industries,while there is not much difference between different industries in terms of how the number of CBBs within a 1-5 km radius affects them.