基于DEA模型的环境治理效率评价——以河南为例

在考察国内学者对环境治理问题的相关研究后,从新的视角出发,运用条件广义方差极小法和变差系数法对评价指标进行筛选,然后运用数据包络分析方法(DEA),对河南省近8年的环境污染治理相对有效性进行实证研究。结果表明,河南省的环境污染治理效率波动较大,环境治理技术水平亟需改进,环境污染治理效率有待提高。基于此研究结论,提出了相应的建议。     

基于DEA包络模型对我国经济可持续发展的实证研究

我国当下是否存在较为严重的股市泡沫?我国经济到底会不会重复日本上世纪90年代的道路?我国经济是否存在潜在的经济危机?我国经济能否持续和稳定的增长?这些都是亟待解决的问题。本文运用DEA包络模型对经济增长进行了:"规模扩大"——"效率增进"——"自主创新"的阶段划分,并从实证角度探求出我国存在类东亚危机,但与东亚危机产生的机理又有不同之处。在此基础上提出克服危机的相关建议。     

A Simulation Study of Joint Uses of Data Envelopment Analysis and Statistical Regressions for Production Function Estimation and Efficiency Evaluation

A previous paper by Arnold, Bardhan, Cooper and Kumbhakar (1996) introduced a very simple method to estimate a production frontier by proceeding in two stages as follows: Data Envelopment Analysis (DEA) is used in the first stage to identify efficient and inefficient decision-making units (DMUs). In the second stage the thus identified DMUs are incorporated as dummy variables in OLS (ordinary least squares) regressions. This gave very satisfactory results for both the efficient and inefficient DMUs. Here a simulation study provides additional evidence. Using this same two-stage approach with Cobb-Douglas and CES (constant elasticity-of-substitution) production functions, the estimated values for the coefficients associated with efficient DMUs are found to be not significantly different from the true parameter values for the (known) production functions whereas the parameter estimates for the inefficient DMUs are significantly different. A separate section of the present paper is devoted to explanations of these results. Other sections describe methods for estimating input-specific inefficiencies from the first stage use of DEA in the two-stage approaches. A concluding section provides further directions for research and use.     

组织绩效评价的DEA模型及应用

本文应用数据包络分析(DEA)模型C2R对几家大型医院的绩效进行了实证研究,一定程度上弥补了平衡记分法只侧重于对单个医院的组织绩效评价的不足之处,完善了对医院的组织绩效的评价体系,也为提高医院的组织绩效提供了参考依据和数据借鉴。     

山东省渔业生产效率及其变动趋势的测算与分析

论文采用1997～2008年山东省及我国渔业生产投入和产出数据,运用数据包络分析以及Malmquist指数方法,对山东省渔业生产效率及其构成的变动趋势进行了测算。研究结果表明：山东省渔业生产虽总体发展趋势较好,但仍存在着技术效率低下、粗放式经营等问题。论文针对这些问题提出了建议和对策,以期为山东省渔业生产效率的改善提供参考。     

Event‐specific data envelopment models and efficiency analysis*

Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state‐contingent setting. Specifically, we show how observations on a random input, not under the control of the producer and not known at the time that variable input decisions are made, can be used to partition the state space in a fashion that permits DEA models to approximate an event‐specific production technology. The approach proposed in this article uses observed data on random inputs and is easy to implement. After developing the event‐specific DEA representation, we apply it to a data set for Western Australian barley production data. Our results highlight the need for acknowledging stochastic elements in efficiency analysis.     

财税政策对军民协同创新的影响——基于DEA-Tobit模型

军民协同创新是实现资源在国防和民用领域优化配置的重要途径。以财税政策与军民协同创新的关系为落脚点，从理论角度具体分析不同政策工具影响军民协同创新的作用机理，通过DEA分析方法，对军民协同创新效率进行测度，采用Tobit回归考量财税政策对创新效率的影响。研究表明，无论是财政补贴、税收直接减免还是税率优惠，都与创新效率呈现显著正向关系，即财税政策能够促进创新，但不同政策工具的促进效果因企业股权性质和军民融合方向有所差异。结合理论与实证研究结论，提出相应政策建议，以期更好地推动军民协同创新。     

基于非射线方向距离函数的快递业服务绩效评估

论文在对顺丰速运(常州)有限公司的企业数据进行调研的基础上,构建一种非射线方向距离函数的DEA模型,对顺丰速运(常州)有限公司的78个快递营业网点的服务绩效开展评估,得到了被评估营业网点服务绩效的量化效率值,以及在各个投入产出项上的改善空间。以此作为实证依据,提出快递业提升配速实效性、降低配送损坏率、改善快递业服务质量的对策建议。     

Research performance evaluation of Chinese university: A non-homogeneous network DEA approach

Performance evaluation for universities or research institutions has become a hot topic in recent years. However, the previous works rarely investigate the multiple departments’ performance of a university, and especially, none of them consider the non-homogeneity among the universities’ departments. In this paper, we develop data envelopment analysis (DEA) models to evaluate the performance of general non-homogeneous decision making units (DMUs) with two-stage network structures and then apply them to a university in China. Specifically, the first stage is faculty research process, and the second stage is student research process. We first spit each DMU (i.e. department) into a combination of several mutually exclusive maximal input subgroups and output subgroups in terms of their homogeneity in both stages. Then an additive DEA model is proposed to evaluate the performance of the overall efficiency of the non-homogeneous DMUs with two-stage network structure. By analyzing the empirical results, some implications are provided to support the university to promote the research performance of each department as well as the whole university.     

业务运作视角下的中国商业银行效率研究

随着中国经济进入新常态,商业银行之间的竞争越发激烈,通过对商业银行在筹资、投资以及中间业务运作方面的效率进行分析,来优化银行的竞争策略.利用改进的DEA网络模型对4家国有商业银行、13家股份制商业银行以及4家城市商业银行共21家银行进行了效率测算,并从资金运作规模、业务多元化和商业银行承担的角色3个方面对商业银行的效率进行评价,发现不同类型的商业银行的业务特点与其战略定位相关.在研究成果的基础上提出一些政策建议,辅以部分统计性结果进行论证,以提高结论的科学性.