School choice, competition and the efficiency of secondary schools in England

In this paper we calculate the technical efficiencies, based upon multiple outputs - school exam performance and attendance rates - of all secondary schools in England over the period 1993-97. We then estimate models to examine the determinants of efficiency in a particular year, and the determinants of the change in efficiency over the period. Our results suggest that the greater the degree of competition between schools the more efficient they are. The strength of this effect has also increased over time which is consistent with the evolution of the quasi-market in secondary education. Competition is also found to be an important determinant of the change in efficiency over time. There is, however, some evidence of conditional convergence between schools.

Efficiency and Input - and Output - Substitutability in English Higher Education 1996/97 to 2007/08: A Parametric Distance Function Approach

HEIs are likely to face tight fiscal constraints in the future. This paper uses random effects and stochastic frontier techniques to estimate an output distance function over the period 1997/97 to 2007/08 in order to investigate the efficiency of higher education institutions (HEIs) and to examine the opportunities for substitution between inputs. Mean efficiency across the whole sector is estimated to be 70%, and further investigation reveals that the pattern of production in the typical institution in the highest efficiency quartile is closest to the pattern of production of the average pre-1992 university. The Morishima elasticities calculated from the parameter estimates suggest that the main possibilities for substitution are out of undergraduates into other inputs and from administration into other inputs (except academic services). Opportunities for substitution are generally much more limited from postgraduate inputs, staff and academic services. A simple examination of the effects of merger activity reveals that it takes place amongst institutions which are typically performing at the same level as non-merging HEIs, and that it has beneficial effects in terms of efficiency

Costs and Efficiency of Higher Education Institutions in England: A DEA Analysis

As student numbers in the UK's higher education sector have expanded substantially during the last 15 years, it has become increasingly important for government to understand the structure of costs in higher education, thus allowing it to evaluate the potential for expansion and associated cost implications. This study applies Data Envelopment Analysis (DEA) to higher education institutions (HEIs) in England in the period 2000/01-2002/03 to assess the cost structure and the performance of various HEI groups. The paper continues and complements an earlier study by Johnes, Johnes and Thanassoulis (forthcoming), who used parametric regression methods to analyse the same panel data. Interestingly, the DEA analysis provides estimates of subject-specific unit costs that are in the same ballpark as those provided by the parametric methods. We then extend the previous analysis by examining potential cost savings and output augmentations in different HEI groups using several different DEA models. The findings include a suggestion that substantial gains of the order of 20-27% are feasible if all potential savings are directed at raising student numbers so that each HEI exploits to the full not only operating and scale efficiency gains but also adjusts its student mix to maximise student numbers. Finally we use a Malmquist index approach to assess productivity change in UK HEIs. The results reveal that for a majority of HEIs productivity has actually decreased during the study period

Higher education outcomes, graduate employment and university performance indicators

Official employment-related Performance Indicators in UK Higher Education are based on the population of students responding to the First Destination Supplement (FDS). This generates potentially biased performance indicators as this population of students is not necessarily representative of the full population of leavers from each institution. University leavers not obtaining qualifications and those not responding to the FDS are not included within the official analysis. We compare an employment-related performance indicator based on those students responding to the FDS with alternative approaches which address the potential non-random nature of this sub-group of university leavers

Technical note: testing an improved index for analysing storm discharge-concentration hysteresis

Analysis of hydrochemical behaviour during storm events can provide new insights into the process controls on nutrient transport in catchments. The examination of storm behaviours using hysteresis analysis has increased in recent years, partly due to the increased availability of high temporal resolution data sets for discharge and water quality parameters. A number of these analyses involve the use of an index to describe the characteristics of a hysteresis loop in order to compare storm behaviours both within and between catchments. This technical note reviews the methods for calculation of the hysteresis index (HI) and explores a new more effective methodology. Each method is systematically tested and the impact of the chosen calculation on the results is examined. Recommendations are made regarding the most effective method of calculating a HI which can be used for comparing data between storms and between different water quality parameters and catchments

University rankings:What do they really show?

University rankings as developed by the media are used by many stakeholders in higher education: students looking for university places; academics looking for university jobs; university managers who need to maintain standing in the competitive arena of student recruitment; and governments who want to know that public funds spent on universities are delivering a world class higher education system. Media rankings deliberately draw attention to the performance of each university relative to all others, and as such they are undeniably simple to use and interpret. But one danger is that they are potentially open to manipulation and gaming because many of the measures underlying the rankings are under the control of the institutions themselves. This paper examines media rankings (constructed from an amalgamation of variables representing performance across numerous dimensions) to reveal the problems with using a composite index to reflect overall performance. It ends with a proposal for an alternative methodology which leads to groupings rather than point estimates

Efficiency in education

Education is important at national, local and individual levels. Its benefits accrue both to society and to individuals, and as such provision of education in many countries is paid for at least in part from the public purse. With competing demands for government funding, it is important for education to be provided as efficiently as possible. Efficiency occurs when outputs from education (such as test results or value added) are produced at the lowest level of resource (be that financial or, for example, the innate ability of students). This special issue is devoted to the topic of efficiency in education, and is well-timed given that governments around the world struggle with public finances in the wake of the global financial crisis of 2008. In this paper, we explore and provide an overview of the themes of the special issue and introduce the papers contained therein

Using hysteresis analysis of high-resolution water quality monitoring data, including uncertainty, to infer controls on nutrient and sediment transfer in catchments

A large proportion of nutrients and sediment is mobilised in catchments during storm events. Therefore understanding a catchment's hydrological behaviour during storms and how this acts to mobilise and transport nutrients and sediment to nearby watercourses is extremely important for effective catchment management. The expansion of available in-situ sensors is allowing a wider range of water quality parameters to be monitored and at higher temporal resolution, meaning that the investigation of hydrochemical behaviours during storms is increasingly feasible. Studying the relationship between discharge and water quality parameters in storm events can provide a valuable research tool to infer the likely source areas and flow pathways contributing to nutrient and sediment transport. Therefore, this paper uses 2years of high temporal resolution (15/30min) discharge and water quality (nitrate-N, total phosphorus (TP) and turbidity) data to examine hysteretic behaviour during storm events in two contrasting catchments, in the Hampshire Avon catchment, UK. This paper provides one of the first examples of a study which comprehensively examines storm behaviours for up to 76 storm events and three water quality parameters. It also examines the observational uncertainties using a non-parametric approach. A range of metrics was used, such as loop direction, loop area and a hysteresis index (HI) to characterise and quantify the storm behaviour. With two years of high resolution information it was possible to see how transport mechanisms varied between parameters and through time. This study has also clearly shown the different transport regimes operating between a groundwater dominated chalk catchment versus a surface-water dominated clay catchment. This information, set within an uncertainty framework, means that confidence can be derived that the patterns and relationships thus identified are statistically robust. These insights can thus be used to provide information regarding transport processes and biogeochemical processing within river catchments