基于DEA模型的区域创新系统效率评价研究

文章构建了区域创新系统效率的评价指标体系,并引入数据包络分析方法,并将其作为评价区域创新系统效率的定量评价方法。根据构建的指标体系与C2R模型,可以对区域创新系统的效率进行评价。     

基于DEA模型的区域物流效率评价实证分析

基于“十一五”期间全国31个省、自治区、直辖市的物流经济发展相关数据,构建CCR、BCC、SE数据包络分析模型进行物流综合效率、技术效率和规模效率分析,通过多次效率评价构建区域经济物流效率有效性的雁行形态图,对相对有效DMU,采用超效率DEA模型进行效率全排序,对无效DMU,分析其投入要素冗余和调整量。     

我国农村地区金融效率测度及区域差异研究

本文采用包络分析方法测度了2005-2014年我国农村地区的金融效率.结果 显示:我国农村地区金融效率稳步提升,其中规模效率是影响我国金融效率的主要因素,纯技术效率的作用未能得到充分的发挥.     

基于DEA的区域高等院校协作效率评价

本文应用DEA方法从定量的角度研究通过区域内和区域之间的合作带来的益处。通过构建评价高等院校协作效率的DEA模型,对某地14所院校的区域内和区域间的高等院校协作效率进行评价。计算结果表明,通过区域内合作,每一个区域内都有部分院校的效率有较大的提高,最高的超过30％。     

山西省能源产业的金融支持效率研究——基于DEA模型

能源产业的优化发展离不开金融支持。山西作为能源大省,能源产业在其经济中占有举足轻重的地位,而金融支持是否有效,直接影响着能源产业持续健康发展。文章通过数据包络分析法,对山西省十家上市能源企业进行金融支持效率的实证分析,根据实证结果分析能源产业金融支持有效性,从而得出推进资本市场发展,完善商业银行金融服务体系,以及能源企业加大产品创新,提高自身综合竞争力的金融支持策略选择。     

基于金融效率的我国金融结构分析

本文通过对金融结构和金融效率的相关概念理论进行回顾,根据我国金融效率的缺失特征来推断金融结构存在的问题,并提出我国金融结构优化的建议。通过分析,发现我国现行金融体系存在的结构问题有:银行国有产权、融资结构不合理以及区域金融结构不协调的问题,因此本文认为我国应当大力发展非国有金融机构及非国有商业银行、加强金融产业结构化进程,并发展区域性证券交易市场,实现地区间金融协调发展。     

基于效率视角的金融生态研究综述

金融生态是具有中国特色的概念。学界对金融生态的研究,对提高我国金融业效率具有重要意义。本文基于效率视角从理论和实证两方面对金融生态理论研究进行了梳理,重点梳理并评析金融生态的内涵、假设前提、金融生态和金融效率的关系三个方面,并对金融生态的进一步研究作出展望。     

基于DEA模型的区域技术效率评价与实证研究

1、引言 河北省地处中国东部沿海,环绕北京、天津,区位优势独特,自然风光秀美,是全国唯一兼有海滨、平原、湖泊、丘陵、山地、高原的省份.     

基于DEA的供应链效率评价研究

为有效提高供应链效率,运用数据包络分析(Data Envelopment Analysis,DEA)方法,构建供应链系统数据包络(Data Envelopment Analysis-Supply Chain All,DEA-SCA)评价模型;使用DEAP2.1仿真软件平台对卷烟14条供应链系统进行数据计算仿真,量化供应链系统整体效率。仿真结果表明:较传统的DEA-CCR效率分析,DEA-SCA效率评价模型能够有效甄别供应链上下游组织中存在的问题;提高供应链系统的整体效率。     

基于DEA的北京市高技术产业R＆D效率比较分析

本文运用DEA模型全面测算了北京市高技术产业1996—2010年间R＆D的生产前沿面效率、综合技术效率、纯技术效率以及规模效率,对规模收益变化和投入产出的冗余与不足进行了具体分析,并针对北京市政府如何提高高技术产业的R＆D效率提出了建议。     

基于DEA的废旧家电回收模式评价研究

在大量电子废弃物成为焦点的今天,家电企业要在既定的环境下选择一种最有效的家电回收模式,将产生的废弃物资回收,重新加以利用,已成为迫在眉睫的问题。针对废旧家电回收问题,介绍了四种废旧家电的回收模式,建立了一套评价指标体系,提出了采用数据包络分析方法对四种回收模式进行选择,且最后给出了一个算例,证明了该方法的可行性和有效性。     

Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysis

This paper proposes a new framework based on the combination of the dynamic DEA, meta-frontier analysis theory, and truncated regression model, and then focuses on the efficiency evaluation of regional high-tech industries in China. For all of the overall technical efficiency, technical efficiency, and scale efficiency scores, the east area is always in the lead, with the central and west areas obviously lagging behind. The eastern area has the highest technology level, whereas the west and central areas fall behind in turn. However, the meta-technology ratio of the west area has rapidly increased and presents a trend of catching up with the east. The variables of GRP per capital, total exports and imports, highway mileage per capita, and ratio of tertiary industry to GRP have positive relationships with technical efficiency, and the time trend exhibits a negative coefficient.     

New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis

A bootstrapped DEA procedure is used to estimate technical efficiency of 18 Italian airports during the period 2000-2004. Departing from previous studies, we separate the efficiency related to ability to manage airside activities (operational) from that related to the management of all business activities (financial). In general, Italian airports operate at poor levels of efficiency, with slightly better performance in terms of their financial activities. In the current study, selected intrinsic and environmental characteristics are considered as possible drivers of Italian airport performance. In particular, we found that: (i) the airport dimension does not allows for operational efficiency advantages, (ii) on the other hand, the airport dimension allows for financial efficiency advantages for the case of hubs and disadvantages for the case of the smallest airports (iii) the type(s) of concession agreement(s) might be considered as important source of technical efficiency differentials for those airports running marginal commercial activities; (iv) the introduction of a dual-till price cap regulation might create incentives which lead to the increase of financial efficiency at the detriment of the operational performance. Lastly, the development of a second hub (Milano Malpensa), has negatively affected the performance of the country’s national hub (Roma Fiumicino).     

DEA of financial statements data: The U.S. computer industry

DEA (data envelopment analysis) is a technique for determining the efficiencyfrontier (the envelope) to the inputs and outputs of a collection of individual corporations or other productive units. DEA is here employed to estimate the intertemporal productive efficiency of U.S. computer manufactures, using financial data brought from earnings statements and balance sheets. The results indicate that a few corporations, including Apple Computer Inc., Compaq Computer Corp., and Seagate Technology were able to stay at the productivity efficiency frontier throughout the time period investigated. But not all successful corporations did; sometimes subefficiency (=disequilibrium) actually goes together with very rapid growth. A new Malmquist type productivity index is calculated for each corporation, measuring shifts of the estimated intertemporal efficiency frontier.     

基于DEA的全国31个省市财政科技支出效率测评

财政科技支出效率建立了一个科学且切实可行的评价体系,利用DEA模型,结合2006年全国31个省市财政科技支出的实例,对财政科支出效率进行分析。     

Developing foreign bank efficiency models for DEA grounded in finance theory

We develop foreign bank technical, cost and profit efficiency models for particular application with data envelopment analysis (DEA). Key motivations for the paper are (a) the often-observed practice of choosing inputs and outputs where the selection process is poorly explained and linkages to theory are unclear, and (b) foreign bank productivity analysis, which has been neglected in DEA banking literature. The main aim is to demonstrate a process grounded in finance and banking theories for developing bank efficiency models, which can bring comparability and direction to empirical productivity studies. We expect this paper to foster empirical bank productivity studies.     

基于DEA方法的零售企业经营效率的分析

目前,我国零售业正处于一场深刻变革之中,我国零售企业面临着严峻的竞争。本文选取了在国内外上市的十二家零售企业,应用DEA(Data Envelopment Analysis,数据包络分析)方法,对各企业的经营效率进行分析,并根据分析结果提出针对性的改进措施。     

基于DEA方法的北京家庭耗能问题的研究

现阶段,"低碳"已经成为了愈演愈烈的热门话题。随着公民们环保意识的提高,越来越多的人关注碳排放的影响,并希望可以得到对日常生活行为的建议指导,以达到全民低碳的效应。随着我国城市化面积的不断扩大,城市家庭中,能源消耗所产生的碳排放成为了碳排放中比较重要的组成部分。以北京为例,分析家庭耗能产生碳排放的主要能源,电、煤、天然气和煤气以及石油气。通过DEA(数据包络分析法)对整个耗能投入进行分析,对北京家庭耗能的效率进行评估,并根据实验结果给出合理的意见和建议。     

基于数据包络分析法的涉农金融机构经营效率分析

文章以2012年246家涉农金融机构的4项投入因素(员工人数、总利息支出、非利息费用与净值)与3项产出因素(贷款收入、非贷款收入与逾期贷款比率)为研究对象,利用非预期因素数据包络分析法,分析涉农金融机构经营效率的评估,并提出达到相对有效率应改善的方向。研究发现:舍弃逾期贷款比率与不舍弃逾期贷款比率的产出导向BCC模型间,占总体样本的8.54%,显现两种方法有其差异性。这是因为涉农金融逾期贷款比率愈高,需要付出更多的人力去催讨与处理抵押品的损失,皆会影响涉农金融机构经营效率。此外,投入或产出项需要调整的涉农金融机构占80.89%。涉农金融机构经营效率低下的主要原因是资源分配不当,如何降低经营成本与开拓业务实属当务之急。