两岸银行业技术效率及生产率的比较研究——基于DEA和Malmquist生产率变动指数法  

Comparative Study on the Technical Efficiency and Productivity of Cross-Strait Banking Sector——Based on the DEA and Malmquist Approaches

作　　者：曾维翰 戴淑庚[2] 

机构地区：[1]海峡股权交易中心 [2]厦门大学金融系

出　　处：《金融监管研究》2013年第9期1-24,共24页Financial Regulation Research

基　　金：教育部规划基金项目"开放经济下中国货币政策规则理论和实证研究"(项目号:10YJA790238);教育部哲学社会科学发展报告建设(培育)项目"海峡西岸经济区发展报告"(项目号:11JBGP006)的阶段性研究成果

摘　　要：本文采用DEA方法和Malmquist生产率变动指数法,分析了2004—2011年期间两岸银行业的技术效率、生产率及其决定因素。研究发现,大陆银行业的技术效率低于台湾地区,其中的主要原因是大陆银行业的纯技术效率较低。基于随机效应面板Tobit回归模型的分析发现,存贷比水平提高、经济金融发展水平提高、资金集聚有利于改善两岸银行业的表现。近年来,两岸银行业的生产率表现皆有所改善,但大陆表现好于台湾。基于系统GMM回归模型的分析发现,生产率变动有负持续性现象;两岸银行业资产规模与生产率的关系存在最适规模;东部地区的银行生产率改善比中、西部地区更有优势;银行业从业人员占比提高、银行业区域集聚及2008年国际金融危机,是近年来生产率下降的主要原因。This paper used the DEA and Malmquist approaches to compare the efficiency and productivity of cross-strait banking sector over 2004-2011. The research showed that the mainland banking sector had a lower technical efficiency than Taiwan. The main reason was that the pure technical efficiency of mainland banking sector was lower. Random-effects panel Tobit regression model results indicated that high loan-to-deposit ratio, econonfic and financial development, and funds pooling could be helpful for cross-strait banking performance. In recent years, the cross-strait banking productivity has been improved, and the mainland performed better than Taiwan. System GMM regression results indicated that productivity was significantly negative persistent. Productivity improvement of the east region banks was better than the central and western regions banks. The concentration of the banking sector experts, the banking regional agglomeration and the 2008 global financial crisis could explain the decline of productivity.

关 键 词：银行业技术效率 银行业生产率 DEA方法 Malmquist生产率变动指数 系统GMM 

分 类 号：F223[经济管理—国民经济]