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This study uses stochastic frontier analysis to examine the factors that influenced cost efficiency of banks in China from 2005 to 2013. The results indicate that policy variables, such as the reserve requirement ratio, the interest rate spread and open market operations by the People's Bank of China, are effective in improving the cost efficiency of banks, but shadow banking variables may reduce cost efficiency. Among the various bank types, city commercial banks appear to be the most efficient and foreign banks are the least efficient. The present study suggests that policy‐makers can have a positive influence on bank cost efficiency by adjusting macro policy variables on different types of banks and by requiring more information on the shadow banking activities to improve monitoring.
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Ding et al. (2015) studied this question.
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