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

doi:10.12005/orms.2018.0098

运筹与管理 ›› 2018, Vol. 27 ›› Issue (4): 162-172.DOI: 10.12005/orms.2018.0098

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

何平¹, 杨早立², 刘显球¹, 陈伟¹

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

收稿日期:2016-06-11 出版日期:2018-04-25
作者简介:何平(1983-),男,黑龙江哈尔滨人,博士研究生,研究方向:科技创新管理与科技金融;杨早立(1986-),男,江西九江人,讲师,研究方向为科技创新管理与科技金融;刘显球(1989-),男,江西吉安人,硕士研究生,研究方向:科技创新管理与科技金融;陈伟(1957-),男, 黑龙江哈尔滨人,教授,博士生导师,研究方向为技术创新与知识产权管理。
基金资助:
国家社科基金资助项目(14BGL007)

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 Ping¹, YANG Zao-li², LIU Xian-qiu¹, CHEN wei¹

1.Economy and Management College, Harbin Engineering University, Harbin 150001, China;
2.School of Economics ＆ Management, Beijing University of Technology, Beijing 100124, China

Received:2016-06-11 Online:2018-04-25

摘要/Abstract

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

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.

Key words: listed commercial bank, total factor productivity, the model of Malmquist-luenberger, Tobit algorithm

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.

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.

参考文献

[1]审慎规制局.银行业监管统计指标季度情况表(2015年)[EB/OL].http://www.cbrc.gov.cn/chinese/home/docView/D07042DA47E948A3AEC1B9F86D24C6DF.html, 2015-05-08.
[2]周小柯,吉生保,孙艺益.中外商业银行全要素生产率测度及对比分析——来自DEA-Malmquist指数的经验证据[J].金融理论与实践,2015,01:11-15.
[3]Robert M. Solow. Technical change and the aggregate production function[J]. The Review of Economics and Statistics, 1957, 39(3): 312-320.
[4]Soren Johansen, Katarina Juselius. Maximum likelihood estimation and inference on cointegration-with applications to the demand for money[J]. Oxford Bulletin of Economics and Statistics, 1990, 52(2): 169-210.
[5]Kerui D, Boqiang L. International comparison of total-factor energy productivity growth: a parametric malmquist index approach[J]. Energy, 2017, 118: 481-488.
[6]Sailesh T, Yun L, Glauco D V. What is the net effect of financial liberalization on bank productivity? a decomposition analysis of bank total factor productivity growth[J]. Journal of Financial Stability, 2017, 30: 67-78.
[7]Meryem D, Vania S, Mohamed S. Trademarking activities and total factor productivity: some evidence for British commercial banks using a metafrontier approach[J]. Journal of Banking & Finance, 2016, 72(S): S70-S80.
[8]Kul B L, Sheikh S, Pushkar B. Liberalization, bankers’ motivation and productivity: a simple model with an application[J]. Economic Modelling, 2017, 61: 102-112.
[9]Jesus L R, Diego M L. Looking beyond the R&D effects on innovation: the contribution of non-R&D activities to total factor productivity growth in the EU[J]. Structural Change and Economic Dynamics, 2017, 40: 37-45.
[10]姜永宏,蒋伟杰.中国上市商业银行效率和全要素生产率研究——基于Hicks-MoorsteenTFP指数的一个分析框架[J].中国工业经济,2014,09:109-121.
[11]袁晓玲,张宝山.中国商业银行全要素生产率的影响因素研究——基于DEA模型的Malmquist指数分析[J].数量经济技术经济研究,2009,04:93-104+116.
[12]王兵,朱宁.不良贷款约束下的中国上市商业银行效率和全要素生产率研究——基于SBM方向性距离函数的实证分析[J].金融研究,2011,01:110-130.
[13]柯孔林,冯宗宪.中国商业银行全要素生产率增长及其收敛性研究——基于GML指数的实证分析[J].金融研究,2013,06:146-159.
[14]Fare R, Grosskopf S, Noh D W, Weber W. Characteristics of a polluting technology: theory and practice[J]. Journal of Econometrics, 2005, 126:469-492.
[15]Chung Y H, Fare R, Grosskopf S. Productivity and undesirable outputs: a directional distance function approach[J]. Journal of Environmental Management,1997,51(3): 229-240.
[16]Fare R, Grosskopf, et al. Productivity growth, technical progress, and efficiency change in industrialized countries[J]. The American Economic Review, 1994( 84) : 66-83.
[17]徐建中,曲小瑜.装备制造业环境技术创新效率及其影响因素研究——基于DEA-Malmquist和Tobit的实证分析[J].运筹与管理,2015,01:246-254.
[18]Berger A N, Humphrey D B. Efficiency of financial institutions: international survey and directions for future research[J]. European Journal of Operational research, 1997, 98: 175-212.
[19]Jackson P M, Fethi M D. Evaluating the technical efficiency of turkish commercial banks: an application of DEA and tobit analysis[C]. International DEA Symposium in University of Queensland, Brisbane, Australia. 2000: 2-4.
[20]Weill L. Measuring cost efficiency in european banking a comparison of frontier techniques[J]. Journal of Productivity Analysis, 2004, 21(2): 133-152.

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

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

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