Analysis Of The Efficiency And Influencing Factors Of Chinese Listed Commercial Banks Based On SBM-Malmquist

As the end of an era in which the economy of China develops in high speed,the“new normal”of medium-high speed development will be the topic of China's economy for a long period. In addition, the growth of world economic is slowing and the global recovery road twists and turns. Under this big background at home and abroad,many industry is facing the development dilemma of operating difficulties, shortage of funds.Apart from these,under the influence of the full liberalisation of banking, the rapid advance of interest rate liberalization, the rapid development of Internet finance, China's banking sector has received the unprecedented impact. As the mediation of financing, the bank provide adequate energy supply for economic development and its role in economic development can't be replaced by any other department. Consequently, the analysis of bank efficiency situation can not only help us understand the operating development situation of bank, but also help us indicate the direction for future development.Whatever profitability or competitiveness, coupled with its various data which is easy to get,the listed commercial banks are very representative in our country banking industry and become the research object of this article. With consideration of non-performing loans or not, the SBM model and Malmquist index are used to analyse the16 listed commercial bank efficiency(2010-2014). Under the hypothesis of fixed effects and random effects, Stata software is used to do Tobit regression to annalyse the influnences of selected factors on bank efficiency and total factor productivity. In measure of bank efficiency and total factor productivity, this paper uses the price index of fixed assets investment to deal with the net value of fixed assets and uses GDP deflator to deal with the rest of the indicators based on the index of 2010. In the analysis of Tobit regression, GDP growth, market share of assets,the allocation of resources capacity,stability, profit ability, innovation ability are chosen as the impact factors. Through the empirical analysis, we learn that: with consideration of non-performing loans or not, the city commercial bank efficiency is higher than the efficiency of state-owned commercial Banks and state-owned commercial Banks efficiency is higher than the efficiency of joint-stock commercial Banks. The total factor productivity of joint-stock commercial Banks is higher than state-owned commercial Banks and the total factor productivity ofstate-owned commercial Banks is higher than the city commercial banks.The ignorance of the bad loans will underestimate the bank efficiency and total factor productivity. Whether consider the effect of bad loans or not, profit ability,innovation ability are positively related to the bank efficiency, GDP growth can generate significantly positive impact on the bank's total factor productivity. Without the consideration of bad loans, stability are positively related to the bank's total factor productivity.Under the consideration of bad loans,innovation ability are positively related to the bank's total factor productivity.According to the research results, this paper puts forward the countermeasures and Suggestions which are helpful for the future development of the banking sector.