Measuring the Efficiency and Productivity of British Universities: An Application of DEA and the Malmquist Approach

This paper uses data envelopment analysis to examine the technical efficiency (TE) of 45 British universities in the period 1980/81 to 1992/93. This period was chosen primarily because it was characterized by major changes in public funding and in student : staff ratios. To shed light on the causes of variations in efficiency, TE is decomposed into pure technical efficiency (PTE), congestion efficiency (CE) and scale efficiency (SE). The analysis indicates that there was a substantial rise in the weighted geometric mean TE score during the study period, although this rise was most noticeable between 1987/88 and 1990/91. The rising TE scores are attributed largely to the gains in PTE and CE, with SE playing a minor role. The Malmquist approach is then used to distinguish between changes in technical efficiency and intertemporal shifts in the efficiency frontier. The results reveal that total factor productivity rose by 51.5% between 1980/81 and 1992/93, and that most of this increase was due to a substantial outward shift in the efficiency frontier during this period.Efficiency; Productivity; Universities; DEA; Malmquist

Congestion in the Chinese automobile and textile industries revisited

This paper re-examines a problem of congested inputs in the Chinese automobile and textile industries, which was identified by Cooper et al. (Socio-Economic Planning Sciences 35 (2001) 227-242). These authors employed a single approach to measuring congestion, however, so it is of interest to see whether other approaches would yield very different answers as regards the severity of this problem. Indeed, the measurement of congestion is an area where there has been much theoretical debate but relatively little empirical work. Here we use the data set assembled by Cooper et al. for the period 1981-1997 to compare and contrast the measurements of congestion generated by three alternative approaches. We find that these measurements are indeed very different.Monetary Policy;

Data Envelopment Analysis (D.E.A.) for urban road system performance assessment

Improving the efficiency of transport networks by enhancing road system performance, lays the foundations for the positive change process within a city, achieving good accessibility to the area and optimizing vehicle flows, both in terms of cost, management and attenuation of environmental impacts. The performance of an urban road system can be defined according to different thematic areas such as traffic flow, accessibility, maintenance and safety, for which the scientific literature proposes different measurement indicators. However variations in performance are influenced by interventions which differ from one another, such as infrastructure, management, regulation or legislation, etc.. Therefore sometimes it is not easy to understand which areas to act on and what type of action to pursue to improve road network performance. Of particular interest are the tools based on the use of synthetic macro-indicators that are representative of the individual thematic areas and are able to describe the behavior of the entire network as a function of its characteristic elements. These instruments are of major significance when they assess performance not so much in absolute terms but in relative terms, i.e. in relation to other urban areas comparable to the one being examined. Therefore the objective of the proposed paper is to compare performances of different urban networks, using a non-parametric linear programming technique such as Data Envelopment Analysis (DEA), Farrel (1957), in order to provide technical support to the policy maker in the choice of actions to be implemented to make urban road systems efficient. This work is the conclusive study of road system performance analysis using DEA. The study forms part of a research project supported by grant. PRIN-2009 prot. 2009EP3S42_003, in which the University di Cagliari is a partner with a research team comprising the authors of this paper, and which addresses performance assessment of road networks, Fancello, Uccheddu and Fadda (2013a),(2013b)

Assessing the Efficiency of Mass Transit Systems in the United States

Frustrated with increased parking problems, unstable gasoline prices, and stifling traffic congestion, a growing number of metropolitan city dwellers consider utilizing the mass transit system. Reflecting this sentiment, a ridership of the mass transit system across the United States has been on the rise for the past several years. A growing demand for the mass transit system, however, necessitates the expansion of service offerings, the improvement of basic infrastructure/routes, and the additional employment of mass transit workers, including drivers and maintenance crews. Such a need requires the optimal allocation of financial and human resources to the mass transit system in times of shrinking budgets and government downsizing. Thus, the public transit authority is faced with the dilemma of “doing more with less.” That is to say, the public transit authority needs to develop a “lean” strategy which can maximize transit services with the minimum expenses. To help the public transit authority develop such a lean strategy, this report identifies the best-in-class practices in the U.S. transit service sector and proposes transit policy guidelines that can best exploit lean principles built upon best-in-class practices

How far are Portuguese prisons inefficient? A non-parametric approach

In Portugal, as worldwide, especially in the past decades, crime has become an issue of increasing interest both for society and researchers. The global growth of criminality had several repercussions in the prison system. The most direct one was the overcrowding of prisons. This situation required a great amount of investment to increase the capacity of Portuguese prisons. Simultaneously, the value for money associated with the prisons’ budget has turned itself more and more relevant. These circumstances together emphasize the importance of assessing the prisons’ performance. This study measures the efficiency of Portuguese prison facilities by means of the non-parametric benchmarking approach of data envelopment analysis (DEA). However, due to the limitations of this technique, a bootstrap methodology is also applied in order to add more robustness to the results. Furthermore, a recent procedure is computed to evaluate congestion. The results show relevant levels of inefficiency in the Portuguese prison facilities, which represent an excess of several millions of Euros spent inadequately in this sector.Bootstrap; Congestion; DEA; Efficiency; Portugal; Prison facilities

Does it matter How We Measure Congestion?

This paper examines three alternative methods of measuring congestion, from both theoretical and empirical perspectives. These methods are the conventional approach of Färe and Grosskopf, the alternative proposed by Cooper et al., and a new method developed by Tone and Sahoo. Each method is found to have merits and demerits. The properties of the different methods are examined using data for 41 ‘new’ British universities in the period 1995/6 to 2003/4. Contrary to expectations, Färe and Grosskopf’s approach generally indicates substantially more congestion than do the other procedures. The main reason for this is identified as being its use of CRS rather than VRS as the assumed technology. While the alternative measures of congestion are found to be positively correlated, the correlations are not strong enough for them to be regarded as substitutes. All methods suggest the existence of a widespread problem of congestion in the new universities, although they differ noticeably as regards its severity.Length: 37 pagesData envelopment analysis; Education; Congestion;

Are the New British Universities Congested?

This paper uses data envelopment analysis (DEA) to examine the issue of congestion in British universities. The focus of the paper is on 41 former polytechnics that became universities in 1992, and the analysis covers the period 1995/6 to 2003/4. These new universities differ from the older universities in many ways, especially in terms of their far higher student : staff ratios and substantially lower research funding per member of staff. The primary aim of the paper is to examine whether this under-resourcing of the new universities has led to ‘congestion’, in the sense that their output has been reduced as a result of having too many students. Three alternative methods of measuring congestion are examined and, to check the sensitivity of the results to different specifications, three alternative DEA models are formulated. The results reveal that a substantial amount of congestion was present throughout the period under review, and in a wide range of universities, but whether it rose or fell is uncertain, as this depends on which congestion model is used. The results indicate that an overabundance of undergraduate students was the largest single cause of congestion in the former polytechnics during the period under review. Less plausibly, the results also suggest that academic overstaffing was a major cause of congestion! By contrast, postgraduates and ‘other expenditure’ are found to play a noticeably smaller role in generating congestion.British New Universities; congestion;

The Human Development Index Adjusted for Efficient Resource Utilization

human development index, data envelopment analysis, efficiency, congestion and scale economics

Performance and Congestion Analysis of the Portuguese Hospital Services

The health care services have been characterised by a growing demand by the citizens leading to the need of more and more resources. Population aging, new pathologies and drugs as well as new treatments are some of the major factors for this. However, in hospitals, for example, consumption of a large number of inputs frequently has not corresponded to the production of the same or more proportion of outputs. Sometimes, the outputs even decline with the increase of inputs due to the influence of the congestion effect on efficiency. The heavy burden of the health sector on the state budget brings about the interest of research over its efficiency. This paper aims to assess the performance of the Portuguese hospitals and particularly the contribution of the congestion effect. We use the non-parametric technique of data envelopment analysis (DEA) for this purpose and a double-bootstrap procedure to take into account the influence of operational environment on efficiency. Afterwards, by comparing three different approaches we determine the importance of congestion in efficiency measurement and discuss its computation methodologically. The results suggest significant levels of inefficiency in 68 major Portuguese hospitals for the year 2005 and more than half of them were found to be congested.Hospitals; congestion; efficiency; DEA; Portugal

Animals’ Health Control Efficiency in Northwest Portugal: A Two-stage DEA Approach

A two-stage approach is employed to analyze the efficiency of cooperatives responsible for ruminants’ disease control (OPP) at the farm level in Northwest Portugal. In the first stage, Data Envelopment Analysis (DEA) is used to estimate and decompose input-based overall inefficiency for each OPP. The input-based inefficiency measures are generated using the directional input distance function. In the second stage, the inefficiency estimates are regressed on environmental and organizational factors in order to explain efficiency differentials. Despite substantial environmental differences, the empirical results indicate that most cooperatives can reduce costs by improving scale efficiency and pure technical efficiency.input directional distance function, bootstrapping, economic efficiency, animal health services., Agricultural and Food Policy,