国家重点科技资源支撑区域创新经济产出的空间差异研究

根据2011-2014年科技部《国家重点科技基础条件资源调查表》以及国家统计年鉴数据,首先,使用赫芬达尔指数定量描述了利用国家重点科技资源进行创新活动的非均衡性。其次,使用网络DEA方法,实证分析了2012-2014年中国(内地)各省份国家重点科技资源对区域创新发展的支撑作用。研究表明,国家重点科技资源对区域创新发展的支撑作用不仅取决于资源创新生产阶段,而且受制于重点科技资源支持下的区域创新发展阶段。重点科技资源的支撑作用还有较大提升空间,70%的省份创新成果转化能力有待提高,且大部分省份的国家重点科技资源未实现优化配置。此外,全国及东部、中部和西部国家重点科技资源对区域创新发展的支撑效率不存在绝对收敛趋势。     

基于DEA模型的安徽省区域创新效率研究

以安徽省16个地级市的数据为依据,对不同城市的创新效率进行了实证研究。首先测度了2012年安徽省16个地级市区域创新的综合效率、技术效率和规模效率,并把安徽省分为皖北、皖中和皖南3个区域进行创新效率对比研究,最后根据DEA模型的优化目标值来探讨提高各地级市的区域创新效率的途径。     

Operational performance of U.S. public rail transit and implications for public policy

In today's tough economic environment, governments at all levels face significant budget shortfalls and public rail transit systems must compete with other public services for government subsidies. It is critical that public rail transit systems be concerned with their operational performance and efficient use of resources. In this paper, we develop a methodology that measures a rail transit system's performance relative to that of other rail transit systems, compares its performance to an appropriate efficient benchmark system, and identifies the sources of its inefficiency. We analyze the relationship between public subsidies and operational performance of public rail systems and show an inverse relationship between subsidization and efficiency.     

基于因子分析和DEA模型的现代光伏农业技术经济性综合评价研究

发展现代光伏农业是推进现代农业可持续发展的重要途径，对现代光伏农业进行技术经济性综合评价有较强的现实意义，为此，建立了因子分析法和DEA相结合的现代光伏农业技术经济性综合评价模型。首先，利用因子分析法对评价指标进行了降维处理；然后，根据DEA模型需要对指标数据进行了标准化处理；最后，利用DEA模型完成了对50亩智能农业大棚各经营方案的评价，结果表明：将光伏发电和温室大棚种植相结合具有良好的技术经济效益。     

知识视角下区域创新绩效研究——基于PCA-DEA模型和Malmquist指数的实证分析

本文综合关于区域创新绩效的研究文献，构建了知识视角下的区域创新绩效指标评价体系。在此基础上，首次运用PCA-DEA模型和Malmquist指数分析方法对我国30个省域创新绩效进行了动态实证分析。研究发现我国区域创新绩效整体呈上升趋势，但是近年遇到瓶颈，区域创新效率的主要限制因素是PECH（纯技术效率）值较低。东部区域创新绩效高于西部地区，而中部区域创新绩效最低。西部地区创新技术效率已经赶超东部，呈持续领先态势。北京、内蒙、福建、河南、贵州、云南、宁夏、新疆等8个省市是创新活动生产可能性前沿外移的主要推动者。基于实证分析的结果，为提高我国区域创新绩效提供相应思路。     

An estimation of returns to scale of airport airsides under multiple optimal solutions in DEA

The returns to scale (RTS) nature of 37 Chinese airport airsides are investigated in this paper. Multiple optimal solutions in DEA (Data Envelopment Analysis) models may lead to error RTS estimation. To address this problem, we use the (Zhu and Shen, 1995) RTS method. The empirical study shows that all those airsides with two runways operate under decreasing RTS and those airsides with only one runway either operate in the area of increasing RTS or in the area of constant RTS.     

Dynamic DEA models with network structure: An application for Iranian airlines

Efficiency estimation of interdependent divisions within a company or assessing the interrelated processes in a production system provides insights for improving the operational performance. Recent developments in network data envelopment analysis (NDEA) models enable decision making units (DMUs) to be informed of inefficient processes within the system. The NDEA model assesses the processes of the system in a specific moment and ignores the dynamic effects within the production processes. Thus, without considering the temporal dimension of production processes, biased efficiency measurement will be obtained that provides misleading information to DMUs. For evaluating the performance of a DMU with interrelated processes during specified multiple periods, this paper proposes a relational dynamic NDEA (DNDEA) model which measures the efficiencies of the system and its internal processes over the time, simultaneously. To illustrate the capability of the proposed model, this study for the first time measures the efficiency of eight Iranian airlines in several periods connected to each other by carry over flows. The actual data is gathered in three periods from 2010 to 2012 and the results are compared with the dynamic DEA and network DEA models in the same time span.     

Efficiency and productivity changes in Greek airports during the crisis years 2010–2014

The aim of this study is to evaluate the operating efficiency and productivity changes of the Greek airports, during the first years of the severe economic crisis in Greece (2010–2014), by using two methods: Data Envelopment Analysis (DEA) and Malmquist Productivity index (MPI). Findings have shown that, despite the dramatic effects of the economic crisis on the socio-economic life of the country, overall airport efficiency and productivity improved, mainly due to exogenous factors such as international tourism growth. The MPI reveals that over the period of the study, airports have experienced an annual average increase in total factor productivity (TFP) of 0.9% (an increase of 3.6% over the examined period). On examining the components of this productivity change, it becomes evident that this is due to the combination of both positive (a slight progress) annual average technology change (0.5%) and technical efficiency change (0.4%). The results also indicate that 65.8% of airports have an increase in average TFP during the period 2010–2014, ranging between 0.4% and 20%. However, as Greek airports operate at poor levels of efficiency, there is still considerable space for improvements in most of the airports.     

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).     

基于DEA的物流公司绩效评价

鉴于传统绩效评价方法的局限性,运用数据包络分析（DEA）法,并以2008和2009年19家中国物流上市公司为样本进行实证研究,为各物流企业客观了解和评价自身物流竞争力和相对物流绩效水平提供参考。