The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis

Agasisti, Tommaso; Gralka, Sabine

doi:10.1080/00036846.2019.1606409

Cited by 44 publications

(29 citation statements)

References 46 publications

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“…andGralka (2017), Johnes (2010, 2013),Agasisti and Salerno (2007), Gralka (2018b), Horne and Hu (2008), Johnes and Johnes (2009), Johnes, Johnes and Thanassoulis (2008), Johnes and Salas-Velasco (2007), Johnes and Schwarzenberger (2011), Mamun (2011), Robst (2001), Sav…”

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confidence: 99%

Higher Education Efficiency Frontier Analysis: A Review of Variables to Consider

Ferro

D'Elía

2020

ERIES Journal

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The measurement of efficiency in higher education has gained a growing interest in recent years, especially due to the expansion of the university system. This paper provides a review of the literature on efficiency in higher education institutions by covering empirical articles which applied frontier efficiency measurement techniques from 1997 to 2019. We review the methodological approaches used, both parametric and non-parametric techniques, such as Data Envelopment Analysis, Malmquist index and Stochastic Frontier Analysis. Secondly, we list the applied inputs, input prices, outputs, quality, and environment variables and based on the overview, we discuss the advantages and drawbacks of the different empirical proxy variables used. We address the importance of characterizing students and research funding as raw materials of both the teaching and research services, respectively, and we provide suggestions on how to deal with them empirically. We also discuss the difference between quality and environmental variables, and we give some practical indications to distinguish them in doubtful cases.

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confidence: 99%

Higher Education Efficiency Frontier Analysis: A Review of Variables to Consider

Ferro

D'Elía

2020

ERIES Journal

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“…Transient efficiency measures the short-term efficiency that changes over time and is related to the performance of the institutions working within the system. Persistent efficiency measures the long-term efficiency that does not change over time and is related to the structure and the policy design in the system (Agasisti and Gralka, 2017).…”

Section: Repsmentioning

confidence: 99%

Technical efficiency of health-care systems in selected middle-income countries: an empirical investigation

Nassar

Sakr

Ezzat

et al. 2020

REPS

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Purpose This paper aims to evaluate the technical efficiency of the health-care systems in 21 selected middle-income countries during the period (2000–2017) and determine the source of inefficiency whether it is transient (short run) or persistent (long run). Design/methodology/approach The study uses the stochastic frontier analysis technique through employing the generalized true random effects model which overcomes the drawbacks of the previously introduced stochastic frontier models and allows for the separation between unobserved heterogeneity, persistent inefficiency and transient inefficiency. Findings Persistent efficiency is lower than the transient efficiency; hence, there are more efficiency gains that can be made by the selected countries by adopting long-term policies that aim at reforming the structure of the health-care system in the less efficient countries such as South Africa and Russia. The most efficient countries are Vietnam, Mexico and China which adopted a social health insurance that covers almost the whole population with the aim of increasing access to health-care services. Also, decentralization in health-care has assisted in adopting health-care policies that are suitable for both the rural and urban areas based on their specific conditions and health-care needs. A key success in the implementation of the adopted long-term policies by those countries is the continuous monitoring and evaluation of their outcomes and comparing them with the predefined targets and conducting any necessary modifications to ensure their movement in the right path to achieve their goals. Originality/value Although several studies have evaluated the technical efficiency both across and within countries using non-parametric (data envelopment analysis) and parametric (stochastic frontier analysis) approaches, to the best of the authors’ knowledge, this is the first attempt to evaluate the technical efficiency of selected middle-income countries during the period (2000–2017) using the generalized true random effects stochastic frontier analysis model.

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“…Review of the selected studies is presented below. Agasisti and Gralka (2017) measured the efficiency of public HEIs in Italy (52 HEIs in total) and Germany (70 HEIs in total) between 2001 and 2011 using SFA. They divided the efficiency analysis into two parts, namely the short-term and long-term efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Country Method Abbott and Doucouliagos (2003) Australia DEA Afonso and Santos (2005) Portugal DEA Agasisti (2016) Italy SFA Agasisti and Gralka (2017) Italy, Germany SFA Agasisti and Johnes (2009) Italy, England DEA Agasisti and Johnes 2010Italy SFA Agasisti and Pohl (2012) Italy, Germany DEA Agasisti and Salerno 2007Italy DEA Agasisti and Wolszczak-Derlacz 2014Italy, Poland DEA Avkiran 2001Australia DEA Barra and Zotti (2014) Italy DEA Barra and Zotti (2016) Italy DEA Coelli et al (2005) Australia DEA Cokgezen 2009Turkey DEA Cuenca 2011Philippines DEA Cunha and Rocha 2012Portugal DEA Daghbashyan 2011Sweden SFA Flegg et al (2003) Great Britain DEA Flegg et al 2004Great Britain DEA Gromov 2017Russia DEA Johnes 2006England DEA Johnes et al (2005) England DEA, SFA Kempkes and Pohl (2007) Germany DEA, SFA Kulshreshtha and Nayak (2015 2017Vietnam DEA Zheng and Stewart (2002) US DEA Zoghbi, Rocha and Mattos (2013) Brazil SFA Source: Own elaboration.…”

Section: A P P E N D I Xmentioning

confidence: 99%

The Efficiency of Public Higher Education Institutions: A Meta-Analysis

Mikušová¹

2020

ekoncas

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Measuring the efficiency of public higher education institutions has become a subject of many studies. We analyse these studies using meta-analysis and identify the most commonly adopted inputs and outputs in the DEA and SFA models (e.g. the number of students, graduates, academic staff). Data obtained from these studies were used for meta-regression analysis. We analyse the effect of independent variables (sample size, the number of inputs and outputs, method used, model orientations, returns to scale and to the country) on the average technical efficiency of public higher education institutions. Finally, we use this model to predict the average technical efficiency of the Czech and Slovak public higher education institutions.

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The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis

Cited by 44 publications

References 46 publications

Higher Education Efficiency Frontier Analysis: A Review of Variables to Consider

Higher Education Efficiency Frontier Analysis: A Review of Variables to Consider

Technical efficiency of health-care systems in selected middle-income countries: an empirical investigation

The Efficiency of Public Higher Education Institutions: A Meta-Analysis

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