Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach

Guccio, Calogero; Martorana, Marco Ferdinando; Monaco, Luisa

doi:10.1007/s11123-015-0459-6

Cited by 18 publications

(9 citation statements)

References 65 publications

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“…Production, Panel (23 papers) Abbott and Doucouliagos (2003), Abramo and D'Angelo (2009), Agasisti (2011Agasisti ( , 2014 *, Agasisti and Bonomi (2014), Agasisti and Dal Bianco (2006), Agasisti and Johnes (2009), Agasisti and Wolszczak-Derlacz (2016), Andersson et al (2016), Barra and Zotti (2016b), Berbegal-Mirabent, Lafuente, and Solé (2013), Berbegal-Mirabent (2018), Cantele, Guerrini and Campedelli. (2016), Castano and Cabanda (2007), Costa, Ramos, and de Souza (2011), D'Elia and Ferro (2020), Flegg and Allen (2007), Flegg et al (2004), Guccio, Martorana and Monaco (2016), Johnes and Yu (2008), Jones and Johnes (1993), Lee and Worthington (2016), Mikušová (2017), Selim and Bursalioglu (2013). Cost, Cross-Sectional (1 paper)…”

Section: Non-parametric Estimates (* Two Stages Dea)mentioning

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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Section: Non-parametric Estimates (* Two Stages Dea)mentioning

confidence: 99%

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

Ferro

D'Elía

2020

ERIES Journal

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“…Несмотря на использование разных спецификаций производственных функций, три имеющихся исследования кейса Италии единодушно фиксируют положительный эффект Болонской реформы, в частности повышение эффективности вузов и в научно-исследовательской, и в преподавательской деятельности [Agasisti, Dal Bianco, 2009;Guccio, Martorana, Monaco, 2016;Agasisti, Wolszczak-Derlacz, 2015]. Рост эффективности имел место в основном на начальном этапе реформы [Agasisti, Dal Bianco, 2009], однако в среднесрочной перспективе университетам удалось не растерять свои успехи [Guccio, Martorana, Monaco, 2016]. Несмотря на то что законодательные и институциональные условия проведения реформы были едиными для всей Италии, разные университеты и разные регионы различаются по уровню достигнутой в результате этой реформы эффективности [Agasisti, Dal Bianco, 2009;Guccio, Martorana, Monaco, 2016].…”

Section: болонский процессunclassified

NPM policy in Higher Education: a Review of Effects on Universities’ Efficiency and Productivity

Шибанова

2023

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Research in the fields of public policy and efficiency evaluation in higher education intensifies amid the NPM spread. This paper advocates the need to increase awareness on whether universities transform and modernise their operations under performance-enhancing policies, and systematically reviews the existing empirical evidence on the effects of such policies in terms of efficiency and productivity. The study classifies the mechanisms of public intervention as ‘state as financier’, ‘the structuring state’ and ‘the autonomy steering state’. The synthesis of the fragmented evidence on the effects of public interventions in terms of universities’ efficiency and productivity addressed by data envelopment analysis and stochastic frontier analysis methodologies is follows. Enhancement of competitive environment and higher autonomy are associated with higher efficiency and productivity. Supply side concentration of resources through excellence initiatives and restructuring of the landscape because of Bologna Process were also effective in transforming universities’ production function. The evidence on top-down mergers is mixed, and we can question their implementation, as opposed to voluntary mergers.

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“…The historical direct citation network is beneficial in identifying the core papers and all related papers to a specific research direction. Several authors in Table 6 also have papers shown in Figure 5, such as Agasisti ( 2011), (Guccio et al, 2017;Guccio et al, 2016a;Guccio et al, 2016b), etc.…”

Section: Contribution By Authorsmentioning

confidence: 99%

Over Three Decades of Data Envelopment Analysis Applied to the Measurement of Efficiency in Higher Education: A Bibliometric Analysis

et al. 2022

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The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data envelopment analysis: its growth rate, major collaboration networks, the most important and popular research topic. A total of 169 related publications were collected and analyzed from 1988 to 2021. The analysis results show that: Publications published every year have increased sharply in the last six years; The quality of publications is relatively high as publications tend to be published in journals with high-ranking indexes; Countries with the most influence in studies on this topic are: Italy, China, Spain, the USA, and the United Kingdom; Authors with the most influence in this research direction are Agasisti T., Abbott M., Doucouliagos C., Avkiran N.K., and Johnes J.; The research cooperation among countries and among affiliations is not strong. Finally, the paper has provided recommendations for future studies based on the findings.

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Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach

Cited by 18 publications

References 65 publications

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

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

NPM policy in Higher Education: a Review of Effects on Universities’ Efficiency and Productivity

Over Three Decades of Data Envelopment Analysis Applied to the Measurement of Efficiency in Higher Education: A Bibliometric Analysis

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