@article{731f6e3ce3bf40d787dc55e2c95dfe89,
title = "The effects of competition and collaboration on efficiency in the UK independent school sector",
abstract = "This paper tests whether competition and collaboration as well as a broad range of other factors lead to improved efficiency in the UK independent school sector. These schools have always operated in a competitive environment, but collaborative groupings are also observed. To answer our main aim, a robust conditional efficiency estimation is employed. Greater efficiency is associated with higher market share, at least at the low levels of market share observed in the sector. There is also some evidence of a positive effect on efficiency of collaboration. Findings regarding the efficiency of schools in the independent sector will be of interest to both independent and state schools as Government policy in the UK has over time encouraged schools in the state sector to become more competitive as an initiative designed to enhance efficiency. The Government is also encouraging greater collaboration between state schools such that they gain benefits from collaboration and sharing of good practice.",
keywords = "Competition, Collaboration, Education, Conditional model, Robust partial frontiers",
author = "Laura Lopez-Torres and Jill Johnes and Caroline Elliott and {Pollo Fern{\'a}ndez}, Cristina",
note = "Funding Information: Many thanks for very helpful comments and suggestions to an Associate Editor, two anonymous referees, Tommaso Agasisti, Geraint Johnes, Rebecca Johnes, Mike G Tsionas and participants at: the University of Huddersfield Business School Research Conference 14th – 15 th January 2016; the Workshop in Education Economics in Maastricht University, The Netherlands, 23rd – 24 th March 2016; the Fourth Lisbon Research Workshop on Economics, Statistics and the Econometrics of Education, University de Lisboa, Portugal, 26th – 27 th January 2017; the University of Derby Economics and Finance Research Seminar 14 th March 2018. Also, thanks to the Independent Schools Council, Judith Pizer and The Office of Fair Trading for their help with data collection. This work was partially supported by the Spanish Ministerio de Ciencia e Innovaci{\'o}n [ ECO2017-88241-R ], the Region of Madrid [ CM/JIN/2019-015 ] and the Region of Extremadura [ GR18106 ]. Funding Information: Many thanks for very helpful comments and suggestions to an Associate Editor, two anonymous referees, Tommaso Agasisti, Geraint Johnes, Rebecca Johnes, Mike G Tsionas and participants at: the University of Huddersfield Business School Research Conference 14th ? 15th January 2016; the Workshop in Education Economics in Maastricht University, The Netherlands, 23rd ? 24th March 2016; the Fourth Lisbon Research Workshop on Economics, Statistics and the Econometrics of Education, University de Lisboa, Portugal, 26th ? 27th January 2017; the University of Derby Economics and Finance Research Seminar 14th March 2018. Also, thanks to the Independent Schools Council, Judith Pizer and The Office of Fair Trading for their help with data collection. This work was partially supported by the Spanish Ministerio de Ciencia e Innovaci?n [ECO2017-88241-R], the Region of Madrid [CM/JIN/2019-015] and the Region of Extremadura [GR18106]. Funding Information: Jill Johnes is Professor of Production Economics and Dean at Huddersfield Business School. Her research involves the measurement of efficiency, and she has developed, extended and applied methods for evaluating the efficiency mainly of non-profit institutions particularly in the context of education. She has published widely across disciplines, and has also received funding from and been consulted on policy issues by, for example, the Department for Business, Innovation and Skills and the Department for Education and Science in the UK, the European Union, the National Audit Office in Sweden, and the Kuwait Institute of Scientific Research. Publisher Copyright: {\textcopyright} 2020 Elsevier B.V. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2021",
month = mar,
day = "1",
doi = "10.1016/j.econmod.2020.12.020",
language = "English",
volume = "96",
pages = "40--53",
journal = "Economic Modelling",
issn = "0264-9993",
publisher = "Elsevier",
}
