环境效率问题在现实中广泛存在，环境效率测度方法是数据包络分析（DEA）研究的热点之一。本项目在网络DEA的基础上，对分层网络系统进行环境效率测度方法设计及应用研究，主要研究工作包括（1）对于非期望产出和期望产出矛盾及中间变量双重角色问题，设计一系列分层环境效率测度模型，并提出相应的求解算法；（2）对于分层环境系统中层级或组织单元间不对等关系，提出基于多属性偏好和博弈论的效率测度模型；（3）对于环境规制影响效率的回归模型选择和最优环境规制强度识别问题，提出估计回归系数置信区间的Bootstrap算法，构建放松非期望产出的分层环境效率测度模型，设计最优环境规制识别系数；（4）中国环境效率测度与提升研究。前三项工作承载了主要理论研究，具有实践指导意义，第四项工作是本项目服务国家现实需求的主要体现。预期研究成果希冀在一定程度上丰富和完善环境效率评价方法体系，为政策制定者提供决策依据。

The environmental efficiency problem widely exists in reality, and the methodology research on environmental efficiency measurement is one of the hot topics in data envelopment analysis (DEA). Based on network DEA, this project carries out methodology design and application research on environmental efficiency measurement in hierarchical network systems. The project composes of the following four categories. (1) We develop a series of hierarchical environmental efficiency measurement models and propose the corresponding solving algorithms, considering the two problems of the contradiction between undesirable outputs and desirable outputs and dual roles of intermediate measures. (2) We propose the hierarchical environmental efficiency measurement models based on multi-attribute preference and game theory, considering the unequal relationship among layers or organizational units in hierarchical environmental systems. (3) We propose Bootstrap algorithms to estimate confidence interval of regression coefficient, and develop hierarchical environmental efficiency measurement models with relaxing undesirable outputs to design the coefficient of identifying optimal environmental regulations, considering the two problems of the regression models selection for environmental regulation affecting environmental efficiency and the identification of optimal environmental regulation intensity. (4) We study the environmental efficiency measurement and improvement in China. The first three works carry the main theoretical research of this project with practical significance. The forth work reflects that this project serves the practical needs of national development. The research results are expected to enrich and improve the environmental efficiency methodology to some extent, and provide the decision-making basis for policy makers