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不良贷款约束下我国上市商业银行全要素生产率时序演变及其驱动因素研究——基于非期望产出的Malmquist-luenberger和Tobit模型
引用本文:何平,杨早立,刘显球,陈伟.不良贷款约束下我国上市商业银行全要素生产率时序演变及其驱动因素研究——基于非期望产出的Malmquist-luenberger和Tobit模型[J].运筹与管理,2018,27(4):162-172.
作者姓名:何平  杨早立  刘显球  陈伟
作者单位:1.哈尔滨工程大学 经济管理学院,黑龙江 哈尔滨 150001; 2.北京工业大学 经济与管理学院,北京 100124
基金项目:国家社科基金资助项目(14BGL007)
摘    要:基于我国上市商业银行2007~2013年面板数据,构建包括不良贷款约束条件下我国上市商业银行投入产出指标体系,采用基于非期望产出的M-L生产率指数方法对我国上市商业银行全要素生产率跨期动态变化进行实证测度,并应用Tobit回归分析方法对影响我国上市商业银行全要素生产率的因素进行实证分析,实证结果显示:我国上市商业银行全要素生产率平均增长率为2.4%,上市城市商业银行全要素生产率高于股份制上市商业银行,而股份制商业银行高于国有商业银行,其主要来源与规模效率提升;此外,银行规模和存贷比对商业银行技术效率提升产生显著的正向驱动影响;而银行集中度对其产生显著的负向驱动影响;资产收益率和所有权结构对其影响不显著。

关 键 词:上市商业银行  全素生产率  M-L生产率指数  Tobit模型  
收稿时间:2016-06-11

Research on Total Factor Productivity Evolution and Its Driving Factors onChina’s Listed Commercial Bank within Non-performing Loan Constraints:Based on the Model of Malmquist-luenberger and Tobit
HE Ping,YANG Zao-li,LIU Xian-qiu,CHEN wei.Research on Total Factor Productivity Evolution and Its Driving Factors onChina’s Listed Commercial Bank within Non-performing Loan Constraints:Based on the Model of Malmquist-luenberger and Tobit[J].Operations Research and Management Science,2018,27(4):162-172.
Authors:HE Ping  YANG Zao-li  LIU Xian-qiu  CHEN wei
Institution:1.Economy and Management College, Harbin Engineering University, Harbin 150001, China; 2.School of Economics & Management, Beijing University of Technology, Beijing 100124, China
Abstract:Based on the panel data of stock-listed commercial bank in time-series of 2007~2013 from China, we build the input and output index system within non-performing loan constraints, use the model of malmquist-luenberger based on undesirable output to measure the total factor productivity(TFP) and its inter-temporal dynamically of stock-listed commercial bank in China, and analyze the driving factors of TFP on stock-listed bank from China on the basis of Tobit algorithm. The results show that the average growth rate of stock-listed commercial bank’s TFP in China is 2.4%, the TFP of the listed city commercial bank is higher than the joint-stock commercial bank,and the TFP of the joint-stock commercial bank is higher than nationalized bank. The reason is the growth of the scale efficiency. Furthermore, bank scale and loan-to-deposit ratio have a significant positive driving impact on technical efficiency of commercial bank, but banking concentration rate has an obvious negative driving impact on technical efficiency. The assets earning rate and ownership structure have no driving effect on technical efficiency.
Keywords:listed commercial bank  total factor productivity  the model of Malmquist-luenberger  Tobit algorithm  
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