This paper investigates the relationship between school size and the exam performance of school pupils in their final year of compulsory education. Previous studies of this relationship have been seriously constrained by lack of appropriate data, but the publication of the School Performance Tables for all publicly‐funded schools in England since 1992 permits the construction and testing of a multivariate model which includes school size as one of the explanatory variables. After controlling for factors such as type of school, teaching inputs and eligibility for free school meals, the partial effects of school size on exam performance are estimated. The primary result is that there is a non‐linear relationship (in the form of an inverted‐U) between school size that maximizes the exam performance of schools is estimated to be about 1,200 for 11–16 schools and 1,500 for 11–18 schools. These estimates are considerably higher than the current mean size of schools.
Britain's education system was radically transformed during the 1990s following the Education Reform Act (1988). The primary objective of these reforms was to raise educational standards through the creation of a quasi-market based upon greater parental choice and the transfer of control over resources from local education authorities to schools. The purpose of this paper is to investigate the effects of the quasi-market on efficiency and equity in the secondary education sector in England during the 1990s. Two primary questions are addressed. Has the quasi-market led to an improvement in efficiency in the secondary education sector? Has the quasi-market had any adverse consequences on the social segregation of pupils between schools? Using data obtained from the Schools' Census and the School Performance Tables, we find strong evidence that the quasi-market has led to a substantial improvement in efficiency (as measured by a school's exam performance and by the productivity of staff) during the 1990s. The same market forces have led to a greater social segregation of pupils between schools.
SUMMARY This paper investigates spatial disparities in unemployment in three Member States of the EU. It attempts to identify the factors responsible for the persistence of regional unemployment disparities in Germany, Italy and the UK during 1984‐94. The empirical results indicate that a substantial proportion of the variation in unemployment rates between NUTS2 level regions can be explained by regional disparities in three key variables: unit labour costs, the industry mix and employment density. The findings are consistent with the view that regional unemployment disparities are explained primarily by regional disparities in economic competitiveness. ZUSAMMENFASSUNO Dieser Artikel untersucht die räumlichen Unterschiede in der Höhe der Arbeitslosigkeit in drei Mitgliedsstaaten der EU. Er basiert auf dem Versuch, die Faktoren zu bestimmen, die im Zeitraum zwischen 1984 und 1994 für die Persistenz von regionalen Unterschieden der Höhe der Arbeitslosigkeit in Deutschland, Italien und Grossbritannien verantwortlich waren. Die empirischen Ergeb‐nisse zeigen, dass ein wesentlicher Teil der Unterschiede in der Höhe der Arbeitslosigkeit zwischen NUTS2 Regionen durch eine regional unterschiedliche Ausprägung von drei wichtigen Variablen erklärt werden kann: Lohnstückkosten, Wirtschaftsstruktur und Zahl der Arbeitsplätze pro Quadratkilometer. Die Ergebnisse bestätigen die Ansicht, dass die regional unterschiedlich hohe Arbeitslosigkeit hauptsächlich durch Unterschiede der regionalen Wettbewerbsfähigkeit zu cr‐klüren ist. RÉSUMÉ Ce document examine les disparités géographiques du chǒmage dans trois États membres de l'Union Européenne. Nous essayerons d'identifier les facteurs responsables de la persistance des disparités en chǒmage régional en Ailemagne, en Italie el au Royaume‐Uni pendant la période 1984‐94. Les résultats empiriques indiquent qu'une proportion importante de la variation du taux de chǒmage entre les régions de la catégorie NUTS2 peut s'expliquer par des disparités régionales en trois variables prépondérantes: le coǔt unitaire d'emploi, la structure industrielle et la densité d'emploi. Les résultats coïncident avec l'avis que les disparités du chǒmage régional s'expliquent surtout par les disparités régionales en compétitivitééconomique.
This paper investigates the effect of introducing quasi‐market forces into secondary education on the allocation of pupils between schools and on the exam performance of pupils. A unique database is used which covers all publicly‐funded secondary schools in England over the period 1992–98. We find several effects consistent with the operation of a quasi‐market. Firstly, new admissions are found to be positively related to a school’s own exam performance and negatively related to the exam performance of competing schools. Secondly, a school’s growth in pupil numbers is positively related to its exam performance compared to its immediate competitors. Thirdly, there is strong evidence that schools experiencing an excess demand for places have responded by increasing their physical capacity. Fourthly, there is some evidence of an increase in the concentration of pupils from poor family backgrounds in those schools with the poorest exam performance of schools during 1992–98 can be attributed to the introduction of quasi‐market forces.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.