本申请首先在传统 DEA成本效率模型的基础上，分析现有的不确定信息下成本效率模型的缺陷，构建新的不确定信息下成本效率模型及其求解方法，从理论上推广现有的成本效率模型。 其次，在关联网络DEA模型的基础上，借助于Malmquist指数和Luenberger指标思想，建立基于网络DEA模型的全要素生产率Malmquist 指数和Luenberger指标模型，从理论上拓展了 Malmquist-Luenberger 理论。最后，分别应用SFA和Tobit方法分析环境因素对不同国家银行业效率的影响，在此基础上，应用上述理论和模型对主要发达国家和主要发展中国家银行业进行多维度的客观的静态评价和动态分析并进行比较研究，为提升我国银行业的国际竞争能力提供理论支撑和实践指导。这在我国金融市场进一步开放, 更多的外资银行将进入中国市场的背景下，具有极为深远的学术价值和现实意义

Based on the traditional DEA cost efficiency model, the project firstly analyzes the shortcomings of the existing cost efficiency models with data uncertainty and develop a new cost efficiency model and its algorithm, thus extending the existing cost efficiency models theoretically.Secondly, based on the relational network DEA model, the project develops the Malmquist index and Luenberger index on the relational network DEA and expands the Malmquist-Luenberger theory. Finally, stochastic frontier analysis and Tobit are applied to measure the impact of uncontrollable variables on the banking industry of different conutries. Then, the above theory and models are applied to evaluate the efficiency of the banking industry of major developed and developing contries from multi-dimensions,which can provide theoretical support and practical guidance to improve international competition ability of China's banking industry.The research has an extremely far-reaching academic value and practical significance as the China's financial market will further open up and more foreign banks will be into the China's market.