184 research outputs found
Efficiency and productivity change in Islamic and conventional banks: Evidence from the Gulf Cooperation Council (GCC) countries
We examine efficiency in Islamic and conventional banks in the GCC region during 2006-2012 using DEA
and a meta-frontier approach. We find no significant difference between Islamic and conventional banks in terms of average gross efficiency. But net efficiency is significantly higher for conventional than Islamic banks suggesting superior performance in terms of technical efficiency (managerial competence and/or
scale); type efficiency is higher for Islamic than conventional banks. Thus the Islamic banking business model leads to greater efficiency in the GCC over this period. A meta-frontier Malmquist productivity analysis of efficiency and productivity over time suggests that the financial crisis has been more pronounced in the conventional banking sector. The gap between the group and meta-frontiers widened in the wake of the crisis, but there are signs that this is now narrowing
School management and student achievements
This Handbook provides a comprehensive overview of the modern economics of education literature, bringing together a series of original contributions by globally renowned experts in their fields. Covering a wide variety of topics, each chapter assesses the most recent research with an emphasis on skills, evaluation and data analytics
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
Costs and efficiency in English higher education: An analysis using latent class stochastic frontier models
An analysis of costs in institutions of higher education in England
Cost functions are estimated, using random effects and stochastic frontier methods, for English higher education institutions. The article advances on existing literature by employing finer disaggregation by subject, institution type and location, and by introducing consideration of quality effects. Estimates are provided of average incremental costs attached to each output type, and of returns to scale and scope. Implications for the policy of expansion of higher education are discussed
Thomas Johnes, Hafod, [Cardiganshire], to James Edward Smith
His 'Walteriana' dead, killed gardener attempting to lay it. The plant called "Wana Ta", by the person who gave them the seed, is in fact a creeper and none of the seeds Smith sent of it have germinated, encloses leaf of the plant [extant]. Encloses list of medicines [not extant] for Smith to order from Mr Wilson and have sent from London to Aberystwyth, by sea.
Has returned hom from his regiment to ensure all workmen are out before Smith's visit. Intense hot weather: his dry and can no longer be proud of his cascades. Progress of his work on [Jean] Froissart [(c 1337-1405), French chronicler]. Dr [James] Anderson's "capital improvements" for canals; persuaded him to patent some of them as he was also the author of the patent stove but did not get any thanks as Brodie took a patent out for it and Anderson was too liberal and indolent to fight for money. 'Dombeya' doing well.
Smith has outlined his reply on recto of second folio: asks if Johnes is home in September, as he is lecturing till 18 or 20 August and could be detained longer, and asks "of Fraser's 'Monandrous' plant".
Specimen of a leaf, [Smith annotation on label : "'Bigonia'?"]
Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education
Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities’ performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities’ own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university-level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual-level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university-level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models
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