Note: *** and * mean significant at the level of 1% and 10%, respectively. Source: own calculations. Software: Stata.
In order to more accurately assess the differential impact of Fintech on bank risk-
differences, scale differences and institutional differences.
Based on the objective facts of imbalanced regional development in China, this article
divides the city where the bank is registered into three regions: the eastern region, the
Risks
2021
,
9
, 99
18 of 27
central region, and the western region. Moreover, we conduct a heterogeneous analysis
of the impact of financial technology development in different regions on bank’s risk-
taking. Considering that the regional fixed effect of the bank registration place will be
absorbed by the individual fixed effect of the bank, the division of the region has essentially
locked the individual fixed effect of the bank. This paper chooses the time fixed effect
model for regression (see Table
9
for the results). The results show that in the eastern and
western regions, there is a significant negative correlation between the level of Fintech
development and banks’ risk-taking, while the regression coefficient in the central region
has not passed the significance test. The likely explanation is that the eastern region has a
high level of Fintech development, which helps reduce bank’s risk-taking. The western
region is strongly supported by policies, and Fintech is developing rapidly, so it also shows
a restraining effect on bank risks. Although some provinces and cities in the central region
have seen the phenomenon of ‘the rise of the central region’ in Fintech (
Guo et al. 2019
),
their development level is lower than that of the east, and its development speed is lower
than that of the west, so it has not shown a restraining effect on bank risks.
Table 9.
Test results of differences in the eastern, western and central parts of China.
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