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Does merging improve efficiency? A study of English universities

Dados Bibliográficos

ID4097192
AutoresMaria Papadimitriou (0000-0002-0270-9289, Lancaster University Management School, Lancaster University, Lancaster, UK), Jill Johnes (0000-0002-1607-1810, Huddersfield Business School, University of Huddersfield, Huddersfield, UK, autor correspondente)
Ano2019
Volume44
Fascículo8
Páginas1454-1474
Data de publicação2019-08-03
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoStudies in Higher Education (JOURNAL)
Identificadores do periódicoISSN: 0307-5079 • E-ISSN: 1470-174X
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03075079.2018.1450851
OpenAlexW2792765452
IdiomaEN
Citações recebidas14
Referências citadas87

This paper focuses on the effect of merger on university efficiency. In a first stage analysis, efficiency scores of English universities are derived for a 17-year period using the frontier estimation method data envelopment analysis. A second stage analysis explores the effect of merger and other factors on efficiency. We find that mean efficiency for the sector has varied from around 60% to 70%, but that the efficiency levels of the vast majority of individual higher education institutions (HEIs) are not significantly different from each other. Merged HEIs have an efficiency which is around five percentage points higher post-merger than non-merging HEIs holding all else constant; but we find that the efficiency impact of merger does not last long (not more than a year) after the merger. The transitory nature of the efficiency gain is an important finding which should be noted by politicians and managers considering a policy of merger

Business · Cost efficiency · Data envelopment analysis · Econometrics · Economic growth · Economics · Efficient frontier · Financial economics · Frontier · Higher education · Microeconomics · Political science · Statistics · Stochastic frontier analysis · Computer Science · Efficiency Analysis Using DEA · Firm Innovation and Growth · Labor market dynamics and wage inequality · Mathematics

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Obras citantes distintas14
Citações por ano2,8
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 13
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