基于超效率模型的上市公司投资价值评价

DEA方法的C2R模型难以解决相对有效单元进一步识别的问题,而超效率模型通过重新定义生产可能集,可以对决策单元进行充分排序和评价。以上证50指数中的33家上市公司为样本,运用C2R模型和超效率模型对2002-2005年中国上市公司的经营效率进行了实证分析。结果表明,超效率模型确实能够对决策单元进行充分评价和排序,其超效率值大小的顺序即是股票相对投资价值的强弱排序。由此可见,超效率评价模型对投资者的投资决策具有较高的参考价值,在应用上更具有优势。     

我国中小零售企业物流系统运营效率研究

近年来我国中小零售企业发展快速且竞争激烈,零售物流系统是高成本时代中小零售企业发展的关键。运用数据包络分析(DEA)法,对比分析18家中小零售企业的物流系统经营数据可知,中小零售企业物流作业要树立效率经营理念,不断加强物流系统内部管理,从而建设高效零售物流体系,提升企业运营效率。     

Axial solutions for multiple objective linear problems. An application to target setting in DEA models with preferences

In this paper we introduce the class of axial solutions for multiple objective optimization problems in contexts in which partial information on preference weights is available. These solutions combine the use of an improvement axis to direct the search of the most preferred result with the concept of efficiency with respect to preference information.     

Reducing differences between profiles of weights: A “peer-restricted” cross-efficiency evaluation

This paper deals with the selection of the profiles of weights to be used in cross-efficiency evaluations. In an attempt to prevent unrealistic weighting schemes, one of the issues of main interest that we address here is that of the zero weights, since their use implies that some of the variables considered are excluded from the assessments to be made. In the calculation of cross-efficiency scores, we propose to ignore the profiles of weights of the DMUs that cannot make a choice of non-zero weights among their alternate optima. The different units are therefore assessed in a peer-evaluation that does not consider the profiles of weights of some inefficient DMUs. This approach is referred to as “peer-restricted” cross-efficiency evaluation. Aside from avoiding zero weights, the choice of weights that we make also seeks to reduce the differences between the weights profiles selected as much as possible. Thus, in the “peer-restricted” cross-efficiency evaluation in the present paper we also try to avoid that the different DMUs attach very different weights to the same variable. Finally, we extend this approach to derive a common set of weights by exploiting the idea of similarity between profiles of weights.     

中国银行业竞争度测度模型改进研究

在对已有测度模型和测度指标进行比较分析的基础上，结合中国商业银行表外资产规模持续扩大、综合化经营水平不断提升、金融集团化日渐明显的发展趋势，对Boone指数的估计方法进行改进，并以2012—2018年60家商业银行的经营数据为样本进行实证研究，评估利率市场化对商业银行竞争度的影响。研究结果表明，模型类型会直接影响Boone指数的估计值，基于动态面板数据模型的估计值与随机效应模型、固定效应模型的估计值显著不同；随着时间的推移，资产规模并未随着效率的提升而增长，Boone指数呈下降趋势，银行业竞争度逐年下降；利率市场化完成之后，银行业竞争度并未上升，反而显著下降。从制度上解除利率管制并不能彻底扭转银行业竞争度不足的现状，还需要从扩大银行业对外开放、放松中小银行准入管制、硬化地方政府和国有企业的预算软约束等方面入手，进一步深化银行业市场化改革。     

福建农户水稻生产技术有效性分析——以上杭县为例

应用DEA-C2GS2模型对上杭县水稻生产调查数据进行分析,结果表明,上杭县水稻生产技术有效性总体偏低、双季稻决策单元技术有效性更低、化肥农药的投入比例偏大、生产规模偏小。加快农业技术研发与推广、加快农业经营管理人才培养与农民专业合作社建设、加快土地整理与流转、建立农业生产技术效率信息平台等可以有效地提高水稻生产的技术有效性。     

基于DEA模型的我国地方政府环境保护支出效率评价

生态环境关系人民福祉,也是经济系统健康运行的基础,为保持经济的可持续发展,必须协调好环境保护与经济发展的关系. 本文利用DEA非参数技术测度了我国省级地方政府的环境保护支出效率. 实证结果表明:十七大以来我国环境保护支出效率整体上获得了显著改善,但仍有较大的提升空间;环境保护支出效率表现出显著的区域差异,特别是生态脆弱的西部地区环境保护支出效率一直以来都远低于东中部地区;我国各省份由于财政能力、技术水平和管理制度不同,环境保护支出效率具有不同的改进模式.     

Profit-oriented productivity change

This study develops an applicable profit-oriented productivity indicator when producers pursue profit maximization and can recognize input and output prices. We define the indicator, inspired by the Luenberger indicator and the Nerlovian efficiency measurement, in terms of both quantity distance functions and profit. Hence, the study׳s first stage decomposes the profit-oriented productivity change into two terms: profit efficiency change and profit technology change. Second, we decompose profit efficiency change into the changes in technical efficiency and allocative efficiency. Finally, profit technology change is separated into two components for capturing the shifts of technology and relative output/input prices. These decompositions provide a more complete picture of the sources of productivity change. We illustrate them with a sample of Taiwanese banks and compute the results using the models of directional distance functions.     

An illustration of dynamic network DEA in commercial banking including robustness tests

The main motivation of this article is to illustrate dynamic network data envelopment analysis (DN-DEA) in commercial banking with emphasis on testing robustness. To this end, sixteen foreign banks in China are benchmarked against thirty-two domestic banks for the post-2007 period that follows major reforms. When network and dynamic dimensions are brought together, a more comprehensive analysis of the period 2008–2010 is enabled where divisional and between-period interactions are reflected in efficiency estimates. Weighted, variable returns-to-scale, non-oriented dynamic network slacks-based measure is used within the framework of the intermediation approach to bank behavior. A bank network (i.e., a decision-making unit, DMU) is conceptualized as comprised of two divisions or sub-DMUs, namely, interest-bearing operations and non-interest operations linked by number of referrals. Undesirable outputs from sub-DMUs 1 and 2 (non-performing loans, and proportion of fruitless referrals, respectively) are treated as carry-overs that impact the efficiency of the following periods. Under robustness testing, the illustrative application discusses discrimination by efficiency estimates, dimensionality of the performance model, stability of estimates through re-sampling (leave-one-out method), and sensitivity of results to divisional weights and returns-to-scale assumptions. The results based on Chinese commercial banks are illustrative in nature because of simulated data used on two of the variables.     

基于DEA的城市科技投入产出相对效率分析与评价——以青岛市为例

提高科技投入产出效率是建设创新型城市需要认真研究的问题。利用数据包络分析（DEA）方法对青岛市2001—2011年科技投入产出相对效率进行实证分析,一方面证明了科技投入的增加对提升城市科技进步水平、增强城市科技创新能力具有重要作用,另一方面反映出青岛市科技投入规模、结构、绩效尚存在一些问题。科技政策的制订应在科技投入理念、宏观架构、科技投入方式创新、科技投资体系、科技经费管理体制改革等方面寻求突破。