Performance Measurement in Government Service Provision: The Case of Police Services in New South Wales

The NSW Government is implementing a financial framework which is designed to encourage government service providers to become more efficient and effective. NSW Treasury is using Data Envelopment Analysis (DEA) to measure the efficiency of major government service providers, such as police, courts and hospitals. This paper outlines the progress in implementing the new financial framework and illustrates the way NSW Treasury will use DEA to help improve the efficiency of government service providers by describing an analysis of the NSW Police Service. The results suggest that NSW police patrols (local police districts) could, on average, reduce input usage by 13.5 percent through better management, and by 6 percent if the patrols could be restructured to achieve the optimal scale. Results also indicate that differences in operating environments, such as location and socioeconomic factors, do not have a significant influence upon the efficiency of police patrols.     

DEA evaluations of long- and short-run efficiencies of digital vs. physical product “dot com” companies

This paper applies Data Envelopment Analysis to determine relative efficiencies between internet dot com companies that produce only physical products and those that produce only digital products. To allow for the fact that the latter are relatively inexperienced, a distinction is made between long- and short-run efficiencies and inefficiencies, with a finding of no statistically significant difference in the short run but digital product companies are significantly more efficient in the long run. A new way of distinguishing between long- and short-run performances is utilized that avoids the need for identifying the time periods associated with long-run vs. short-run efficiencies and inefficiencies. In place of “time,” this paper utilizes differences in the “properties” that economic theory associates with long- and short-run performances.     

基于DEA模型的城市科技活动效率评价

将DEA理论应用于广东21城市科技活动的分析中，建立评价城市科技活动效率的数据包络分析模型，谊模型评价了各城市的总体效率和技术效率的状况，进而对非DEA有效的城市提出达到DEA有效的可行措施，并分析了城市科技活动效率和资源配置之间的关系。     

The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency

Container terminal production is both an important and complicated element in the contemporary global economy. This paper aims to evaluate the efficiency of the world’s most important container ports and terminals using the two alternative techniques of Data Envelopment Analysis (DEA) and the Free Disposal Hull (FDH) model. The results give an insight into the current efficiency ranking of the world’s major container ports and terminals. They also confirm expectations that the available mathematical programming methodologies lead to different results and that appropriate variable definition of input and output factors is a crucial element in meaningful applications of DEA and FDH. It is also concluded that the availability of panel data, rather than cross-sectional data would greatly improve the validity of the efficiency estimates derived from all the mathematical programming techniques applied.JEL Classification:C61, D24, E23, L23, L25, L92     

Using data envelopment analysis approach to estimate the health production efficiencies in China

By using Data Envelopment Analysis approach, we treat the health production system in a certain province as a Decision Making Unit (DMU), identify its inputs and outputs, evaluate its technical efficiency in 1982, 1990 and 2000 respectively, and further analyze the relationship between efficiency scores and social-environmental variables. This paper has found several interesting findings. Firstly, provinces on frontier in different year are different, but provinces far from the frontier keep unchanged. The average efficiency of health production has made a significant progress from 1982 to 2000. Secondly, all provinces in China can be divided into six categories in terms of health production outcome and efficiency, and each category has specific approach of improving health production efficiency. Thirdly, significant differences in health production efficiencies have been found among the eastern, middle and western regions in China, and among the eastern and middle regions. At last, there is significant positive relationship between population density and health production efficiency but negative relationship (not very significant) between the proportions of public health expenditure in total expense and efficiency. Maybe it is the result of inappropriate tendency of public expenditure. The relationship between abilities to pay for health care services and efficiency in urban areas is opposite to that in rural areas. One possible reason is the totally different income and public services treatments between rural and urban residents. Therefore, it is necessary to adjust health policies and service provisions which are specifically designed to different population groups. __________ Translated from Jingji Yanjiu 经济研究 (Economic Research Journal), 2006, (7): 92–105     

高校智力资本运作效率的数据包络分析

文章在综合分析高校智力资本的基本概念和主要内容的基础上，提出了用数据包络分析方法评价高校智力资本运作效率的基本思路与方法，并以8所高校在同一学科中的智力资本运作情况为算例，对数据包络分析的算法和所使用的计算工具作了说明。     

中国地区工业绿色全要素生产率增长:——基于方向性距离函数的经验分析

结合方向性距离函数和跨期数据包络分析法,测度绿色全要素生产率增长时尽可能地避免了出现技术倒退结论。中国省份工业的经验分析表明:忽略非期望产出的全要素生产率增长被高估,并混淆了技术进步和技术效率变化的相对贡献;技术无效率普遍存在且省际差异和年际波动性大,但这与经济发展水平无关;绿色全要素生产率变化也存在省际差异和年际波动特点,其中技术进步是其增长的主要源泉,而技术效率恶化是其倒退的根本原因;绿色全要素生产率增长存在明显的倒U型趋势和趋同性,而且外资利用印证了"污染天堂"假说。     

基于DEA方法的广东科技与金融结合效益评价

本文采用数据包络分析方法(DEA)对全国各省、市、自治区金融投入与科技产出结合的效益进行评价,并对DEA测评结果进行深入分析,发现影响广东科技与金融结合效益的主要原因是金融投入的结构与科技产出的阶段不相协调以及金融投入资源的管理效率较低,从而为广东探索科技与金融结合的路径与对策选择提供决策依据。     

综合评价方法在西部地区信息化评价中的应用

政府大力推进“信息化建设”的同时,有关地区信息化水平的测评也开始备受重视。本文在前人的研究基础上提出了包含信息化发展平台和信息化应用状况两方面的新的信息化评价指标体系,通过DEA和聚类分析、综合加权指数法相结合的方法,较为客观、全面的评价了西部各个省区分类信息化和综合信息化水平,并据此提出了相应的政策建议。     

DEA APPLIED TO A GAUTENG SAMPLE OF PUBLIC HOSPITALS1

The research presented in this paper provides an analysis of the delivery of a few health care services by the public sector in Gauteng, South Africa. The data for the study was especially difficult to collect, suggesting the need for hospital level data information systems, as well as staff who are trained to analyze the information collected. The empirical results from the analysis suggest that services provided by small‐scale medical facilities waste fewer resources, while medical centres offering more technical services, such as surgeries, also appear to deliver medical services more efficiently.