基于网络分析法与数据包络分析法的企业二维绩效评价

对企业绩效评价研究,当前大多仅限于企业绝对财务绩效或改进财务指标目标的评价,对企业绩效相对效率研究较少,企业绝对绩效的提升与企业人员、资源、技术等投入相脱节。基于此,文章分别从企业绝对绩效与相对绩效两个层面,建立绝对绩效与相对绩效评价指标体系,并通过分析被评价企业绝对绩效与相对绩效的评价结果摆布,评估定位企业经营业绩状况,同时对企业业绩提升的努力方向提出建议与对策。     

建筑安全经济激励政策绩效评价

文章以建筑企业作为政策有效性评价的基本单位,通过建立一系列的有效性评价指标并运用数据包络分析法与层次分析法相结合的二次相对效益评价模型对建筑安全经济激励政策的有效性进行评价。     

煤电联营企业经济状况效率分析与实证

文章应用数据包络分析方法,通过建立具体的指标体系,提出效率的相对有效性这一概念并给予证明,对煤电联营企业经济状况的效率进行实证研究.其结果表明,DEA方法在评价企业的经济状况效率问题上是有效的,可以较好的反映企业的真实经济情况.     

基于熵值法的企业战略绩效评价模型

绩效评价是企业战略控制的关键环节,绩效评价方法的选择对于战略控制的有效性尤为重要.文章应用平衡计分卡构建战略控制框架,从战略控制角度应用熵值法对战略绩效综合评价 中的权系数进行客观赋值,弥补了传统评价法的不足,能够有效反映企业作为复杂开放系统评价指标的重要性和绩效的变化规律.依据所建模型及公式进行实证分析,测评结果能够有效反映企业战略绩效.     

DEA方法在企业经济效益评价中的应用

一、DEA方法DEA(Data Envelopment Anal-ysis)称为数据包络分析。它是按照多指标投入和多指标产出,对同类型单位(企业或部门)进行相对有效性评价的一种新方法。从统计分析的角度看,它又是一种新的非参数的统计分析方法。从生产函数的观点看,DEA方法是估计有效生产前沿面。这里所说的有效生产前沿面,实际上是生产函数的     

基于DEA方法的城市经济运行效率分析——以安徽省为例

本文主要介绍了数据包络分析(DEA)的原理与方法,并用DEA方法对安徽省17个地级市的经济运行效率进行评价,从相对有效性角度分析各城市的发展现状,找出制约城市经济发展的因素,并提出改进的建议。     

应用改进型平衡计分卡评价建筑企业绩效

文章针对当前传统四维平衡计分卡在我国建筑企业应用中的的维度不足问题和由于绩效指标过多产生的大量数据从而导致的评价时主次不分的问题,提出了多维平衡计分卡的概念,并建议采用主成分分析对大量指标进行处理,从而产生相对较少的综合性指标对企业绩效进行评价,最终简化了企业绩效管理与绩效评价工作,为平衡记分卡进一步精确化、系统化提出了建议.     

基于DEA方法的中国商业银行效益分析与评价

关于银行竞争力评价在80年代就开始发展,我国95年 开始加入这个评价体系。这些现有的评价体系主要是指标 法,通过对不同的指标赋以不同权重然后加权来对银行进行 排名。对于不同指标的权重的选取没有一种比较统一的方 法。而数据包络分析法(DEA)作为处理多个决策单位的多投 入、多产出的模型,作为一种非参数的统计方法,已经在多个 领域得到了广泛的应用。但用于银行业的评价分析还很少。 本文尝试对中国银行业运行状况进行有效性评价分析,研究 各个银行的投入与产出值比是否有效率,这也是DEA评价 方法和模型应用的一个新的尝试。最后从政策性银行的角度 出发对国有银行的有效性结果进行解释。 DEA方法作为处理多个决策单元的多投入、多产出的模 型,作为一种非参数的统计方法,已经在多个领域得到了广 泛的应用。但用于银行业的评价分析还很少。本文尝试对中     

基于CCA—DEA模型评估政府社会保障绩效的实证研究

衡量和评价由社会保险、社会救助、社会福利和社会优抚构成的社会保障的运行状况和绩效水平,需要运用科学、合理的评估方法。目前,对社会保障绩效评估的方法相对薄弱。鉴于此,运用典型相关分析与数据包络分析方法（CCA—DEA）相结合评价中国社会保障绩效,从定量分析的角度得出中国不同省份在2005—2007年份社会保障绩效的相对大小,结果表明：有80％的地区社会保障部门在养老保险、医疗保险、失业保险、工伤保险、生育保险和社会福利等方面是DEA有效,另外20％左右的地区仍需要提高。     

中国制造业企业技术能力效率研究

文章基于数据包络分析(DEA)方法构建我国制造业企业技术能力效率分析模型,并对我国制造业企业技术能力效率进行评价与分析。结果表明,制造业企业技术能力投入要素中,人员投入冗余最多,其次是信息投入和设备投入、组织投入;技术能力产出要素中,管理绩效最为不足,其次是市场绩效和研发绩效。基于分析结果,本文提出了提升制造业企业技术能力效率的对策。     

Measuring the efficiency of public services: the limits of analysis

Summary.  Policy makers are increasingly seeking to develop overall measures of the effi-ciency of public service organizations. For that, the use of 'off-the-shelf' statistical tools such as data envelopment analysis and stochastic frontier analysis have been advocated as tools to measure organizational efficiency. The analytical sophistication of such methods has reached an advanced stage of development. We discuss the context within which such models are deployed, their underlying assumptions and their usefulness for a regulator of public services. Four specific model building issues are discussed: the weights that are attached to public service outputs; the specification of the statistical model; the treatment of environmental influences on performance; the treatment of dynamic effects. The paper concludes with recommendations for policy makers and researchers on the development and use of efficiency measurement techniques.     

A slack analysis framework for improving composite indicators with applications to human development and sustainable energy indices

Data envelopment analysis models are used for measuring composite indicators in various areas. Although there are many models for measuring composite indicators in the literature, surprisingly, there is no methodology that clearly shows how composite indicators improvement could be performed. This article proposes a slack analysis framework for improving the composite indicator of inefficient entities. For doing so, two dual problems originated from two data envelopment analysis models in the literature are proposed, which can guide decision makers on how to adjust the subindicators of inefficient entities to improve their composite indicators through identifying which subindicators must be improved and how much they should be augmented. The proposed methodology for improving composite indicators is inspired from data envelopment analysis and slack analysis approaches. Applicability of the proposed methodology is investigated for improving two well-known composite indicators, i.e., Sustainable Energy Index and Human Development Index. The results show that 12 out of 18 economies are inefficient in the context of sustainable energy index, for which the proposed slack analysis models provide the suggested adjustments in terms of their respected subindicators. Furthermore, the proposed methodology suggests how to adjust the life expectancy, the education, and the gross domestic product (GDP) as the three socioeconomic indicators to improve the human development index of 24 countries which are identified as inefficient entities among 27 countries.     

制造业效率区域差异及其影响因素分析——基于中国省级面板数据的研究

制造业的发展关系到第二产业乃至整个国民经济的发展,制造业的增长是中国工业经济增长的主导力量。本文运用数据包络分析法,测度了制造业各行业及中国各省制造业效率情况,然后利用中国省级制造业效率指标以及专利申请、地区经济发展水平等制造业效率影响因素的外延数据构成面板数据（Panel Data）建立模型。通过实证分析得出：地区经济的发展有利于制造业效率的提升。专利申请与制造业效率呈负相关。     

中国高新技术开发区的发展分析

高新技术开发区已成为中国自主创新的重要载体,对经济发展起着关键的支撑作用。选取企业数和从业人员数为投入变量,以工业总产值、出口创汇额以及利税总额为输出变量,运用数据包络分析方法对中国高新技术开发区的技术效率、规模效率和纯技术效率进行了评价,结果显示:1998-2012年高新开发区整体的技术效率、规模效率和纯技术效率呈增长趋势。同时,通过对中国高新开发区主要指标数据进行向量自回归分析,建立了中国高新技术开发区发展的主要指标的预测模型,为高新技术开发区经济计划的制定提供政策依据。     

基于AHP-DEA的传媒业上市公司财务绩效评价研究

在系统分析传媒业上市公司财务目标的基础上,运用层次分析法对大量的传媒业上市公司财务绩效评价指标进行筛选,构建评价指标体系。运用数据包络分析方法构建了上市公司财务绩效综合评价模型,通过对34家上市公司财务数据分析,得出了财务绩效综合排序、规模收益状况,验证了模型的有效性。     

企业绩效比较评价体系蕴含信息的质与量研究——以福布斯与北洋世盈企业排行榜为例

以福布斯与北洋世盈企业排行榜为例,从评价指标体系、综合计分方法及排行结果三个方面,对企业绩效比较评价体系所蕴含信息的广度与质量进行定量分析与对比,并对二者各自特点进行评价。研究发现:福布斯体系中指标间的信息重叠度过高,指标体系所提供信息仍局限于规模方面,北洋世盈体系的四个分项指标组间信息重叠度较低,能够全面反映企业的综合状况及未来发展趋势。此外,北洋世盈体系在对企业各分项能力指标进行评价过程中以各因子的方差贡献率为权重,避免了主观赋值的局限性,保证了评价过程与信息的客观性,其基于乘法计分法的综合绩效评价方法能够更好地引导企业兼顾各项指标之间的均衡发展,避免出现短板问题,从而实现可持续的良性发展。借鉴北洋世盈体系的构建思路,提出了以"做强做优"为导向的企业绩效比较评价框架。     

On Testing Equality of Distributions of Technical Efficiency Scores

The challenge of the econometric problem in production efficiency analysis is that the efficiency scores to be analyzed are unobserved. Statistical properties have recently been discovered for a type of estimator popular in the literature, known as data envelopment analysis (DEA). This opens up a wide range of possibilities for well-grounded statistical inference about the true efficiency scores from their DEA estimates. In this paper we investigate the possibility of using existing tests for the equality of two distributions in such a context. Considering the statistical complications pertinent to our context, we consider several approaches to adapting the Li test to the context and explore their performance in terms of the size and power of the test in various Monte Carlo experiments. One of these approaches shows good performance for both the size and the power of the test, thus encouraging its use in empirical studies. We also present an empirical illustration analyzing the efficiency distributions of countries in the world, following up a recent study by Kumar and Russell (2002), and report very interesting results.     

Estimating DEA confidence intervals with statistical panel data analysis

This paper describes a statistical method for estimating data envelopment analysis (DEA) score confidence intervals for individual organizations or other entities. This method applies statistical panel data analysis, which provides proven and powerful methodologies for diagnostic testing and for estimation of confidence intervals. DEA scores are tested for violations of the standard statistical assumptions including contemporaneous correlation, serial correlation, heteroskedasticity and the absence of a normal distribution. Generalized least squares statistical models are used to adjust for violations that are present and to estimate valid confidence intervals within which the true efficiency of each individual decision-making unit occurs. This method is illustrated with two sets of panel data, one from large US urban transit systems and the other from a group of US hospital pharmacies.     

中国电信产业产出效率分析

基于2003—2005年20个省份的数据利用数据包络法,对所列举的全国及东、中、西部三大区域电信产业的产出效率进行分析。分析结果表明：中国电信产业技术效率较高,并主要由纯技术效率构成;中、西部电信产业经过几年的发展,技术效率已经得到明显的提升,但同东部比较仍存在较大的差距;电信产业员工冗余现象严重;电信产业全要素生产率处于一个不断提升的阶段,且技术进步的作用变得越来越明显。     

Discussion on the paper by Stone

Summary. The single-input case of the 'technical efficiency' theory of M. J. Farrell is reformulated geometrically and algebraically. Its linear programming developments as 'data envelopment analysis' are critically reviewed, as are the related techniques of 'stochastic frontier analysis'. The sense and realism of using data envelopment analysis or stochastic frontier analysis techniques, rather than some value-based method, for the assessment of police force efficiency are questioned with reference to the Spottiswoode report and related studies.