This article focuses on the relationship between Fintech and bank risk-taking behavior. Since Robo-Advisor is one of the mature applications of Fintech, we found that the development of Fintech will have a greater impact on small and medium-sized banks through the establishment of a Robo-Advisor model. This paper uses a benchmark regression model to analyze the municipal digital financial inclusion index compiled by Peking University and the annual report data of 155 small and medium-sized banks from 2011 to 2016. We found that the development of Fintech has significantly reduced bank risk-taking level. This result is still valid after the robustness test of replacing the bank’s risk-taking index and replacing the Fintech development index. We used the urban innovation index as an instrumental variable to deal with the endogenous problem, and obtained consistent estimation results. The test of the intermediary effect shows that the development of Fintech will affect the bank risk-taking through channels such as the bank’s internal interest margin, management capabilities, the bank’s external competition intensity, and residents’ saving willingness. Heterogeneity analysis shows the reduction effect of Fintech on bank risk-taking is more pronounced in banks in eastern and western regions in China, the large banks and the urban commercial banks.
W e make an empirical analysis of regional characteristics of influence factors on finan cial exclusion by using the data of types and levels of financial institutions in the na tion from 1998 to 2012. The study shows the number of financial institution nodes contin ues to increase, but with uneven distributions; the density of financial institutions increases steadily and the gap between the eastern and the Midwest is huge; the commercial banks of the eastern region account for the highest but the rate of the commercial bank basic outlets is low and the rate of the rural institution bank basic outlets is relatively higher, in addition the proportion of the Midwest rural banks is high. Even though the financial exclusion eases, large differences still exist in different areas and the situation is rather critical in rural areas, especially the financial exclusion in western rural areas is the worst. The economic develop ment level, the area scale, the government expenditure, the personal savings level, the per capita consumption and the educational level have different effects on financial exclusion. Accordingly, the author puts forward the advice of coordinating the financial resource from all regions and reducing the regional financial exclusion. А н н о т а ц и я В работе проведен эмпирический анализ региональных особенностей факторов, влия ющих на финансовое неравноправие, на основе данных о типах и уровнях финансо вых учреждений в стране с 1998 по 2012. Исследование показывает, что число узловых финансовых учреждений с неравным финансовым распределением продолжает увели чиваться; плотность финансовых учреждений постоянно растет, и разница между вос точным и западным регионами значительна; коммерческие банки восточного региона составляют самое высокое число. Уровень основных учреждений коммерческого банка низкий, а уровень основных учреждений сельского банка относительно выше. Кроме того, высока пропорция западных сельских банков. Даже при том, что финансовое неравно правие ослабляется, в различных областях все еще существуют значительные различия, а ситуация в сельских районах довольно критична, при наихудших показателях финан сового неравноправия в западных сельских районах. Уровень экономического развития, масштаб региона, правительственные расходы, личный сберегательный уровень, потре бление на душу населения и образовательный уровень оказывают различное влияние на финансовое неравноправие. В этой связи, автор предлагает координировать финансовые ресурсы из всех регионов и сокращать региональное финансовое неравноправие. К л ю ч е в ы е с л о в а : финансовое неравноправие, типы и уровни финансовых учреждений, региональное неравенство. Y o n g b in L .V ., X ia n p in g Z h ou , Y in g y in g Y.I. № 3 2015 A N EM PIRICAL A N A LYSIS O F REGIONAL D ISP A R ITY O F INFLU EN CE FACTORS O N FINANCIAL EXCLU SIO N BASED O N TYPES A N D LEV ELS O F FINANCIAL INSTITU TIO N I N CHINA 211. T h e lite r a tu r e r e v ie w 1.1 T h e r e s e a r c h in fo r e ig n c o u n tr ie s The concept of financial exclusion...
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