Evaluation of public HEI on teaching, research, and knowledge dissemination by Data Envelopment Analysis

Moncayo–Martínez, Luis A.; Ramírez–Nafarrate, Adrián; Hernández–Balderrama, María Guadalupe

doi:10.1016/j.seps.2019.06.003

Cited by 28 publications

(13 citation statements)

References 38 publications

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“…In the literature, two types of efficiency evaluations at the university level have been extensively discussed (for example, Abbott & Doucouliagos, 2003;Kao & Hung, 2008;Sellers-Rubio, Mas-Ruiz, & Casado-Díaz, 2010;Agasisti & Wolszczak-Derlacz, 2015). The first type compares the efficiency of different universities; for example, in the last five years, such studies have included Lee and Worthington (2016), Sagarra et al (2017), Visbal-Cadavid et al (2017, Guironnet and Peypoch (2018), Klumpp (2018), Quiroga-Martinez et al (2018, Yang et al (2018), Hou et al (2019, Moreno-Gómez et al (2019), Koçak et al (2019), Shamohammadi and Oh (2019), Dumitrescu et al (2020), Łącka and Brzezicki (2020), Moncayo-Martínez et al (2020), Salas-Velasco (2020), Tran et al (2020), andZhang et al (2020). The second type of efficiency evaluation compares the efficiency of different departments within a university, such as in the studies of Sinuany-Stern et al (1994), Gander (1995), Kao and Hung (2008), Barra and Zotti (2016), Ding et al (2020), andGhasemi et al (2020).…”

Section: Introductionmentioning

confidence: 99%

Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis

Chen

Chang

2021

Scientometrics

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Universities continue to play a key role in the development of a country. As university income streams shift away from government and as the income from admissions decline under the sub-replacement fertility phenomenon, the efficiency of resource utilization has become an important issue for university administrators. This paper applies data envelopment analysis (DEA) and the concept of an assurance region to evaluate the relative efficiency (including aggregate, technical, and scale efficiencies) of academic departments at National Chung Cheng University in Taiwan. The input factors considered are personnel (expressed in the number of faculty-equivalent persons), operating expenses, and floor area, and the output factors are teaching (expressed in total credit hours), publications (expressed in the number of papers), and external grants. Notably, teaching quality is included by considering the classroom capacity in calculating credit hours, and publication quality is included by considering the author contribution to calculate the single-author-equivalent numbers of papers. In addition, a cluster analysis based on the efficiency decomposition to the contributions of the three outputs is applied to classify the departments into three groups. The results of this paper not only provide the department head with the relative efficiency and improvement directions for the department but also serve as a reference for resource allocation and future strategy development for the university administration.

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Section: Introductionmentioning

confidence: 99%

Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis

Chen

Chang

2021

Scientometrics

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“…Researchers have explained the benefits of adopting of teaching and research jointly in higher education to professionals, administrators, and academic staff in shaping higher education decision-making policy and disseminating ideas on higher education policy setting. Some of the works on this literature are measurement and achievement of academic excellence due to joint adoption [24], knowledge transfer [25], allocation of institutional resources [26], economic scale in universities, [27] and competitive pressure [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Is There Complementarity between Teaching and Research? Evidence from Pakistani Higher Education Institutions

Gebru

Khan

Raza

2022

Education Research International

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Many activities have been used to impart knowledge and foster the quality of education at higher education institutions: mainly teaching and research. Higher education institutions have typically focused on the adoption of teaching and research independently, but in many instances, both activities coexist. By taking into account the coexistence, this study empirically analyzed why teaching and research activities appear together and how joint adoption of the activities has economic impacts on the performance of the higher education institutions. To do so, this study tested the existence of complementarity between teaching and research using supermodularity through the data envelopment analysis approach. Therefore, the empirical result showed that complementarity between teaching and research confirms that the adoption of one activity strengthens the adoption decision about the other activity. This implies that the institutions that execute both activities simultaneously become more productive rather than adopting a single activity. Moreover, it is important for academic decision-makers to take decisions in order to allow universities to achieve economies of scale.

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“…Many studies have sought to facilitate efficiency calculation in higher education from various perspectives (Abbott & Doucouliagos, 2003;Avkiran, 2001;Bougnol & Dulá, 2006;Cloete & Moja, 2005;Fandel, 2007;Johnes, 2006;Johnes & Li, 2008;Moncayo-Martínez et al, 2020;Shi & Wang, 2004). In the Ibero-American context, Colombia and Spain -which have undergone important transformations in the public management of their universities (Brunner & Miranda, 2016) -have specifically seen the emergence of studies addressing efficiency measurement in higher education (García & González, 2011;González, Ramoni, & Orlandoni, 2017;Maza-Ávila, Quesada-Ibargüen, & Vergara-Schmalbach, 2013;Maza Ávila, Vergara-Schmalbach, & Román Romero, 2017;Melo-Becerra, Ramos-Forero, & Hernández-Santamarí, 2014) that have aimed to assess and classify institutions, either to inform citizens or the government or to disclose their management capacity, impact, coverage, or social mission.…”

Section: New Public Management and Efficiency In Higher Educationmentioning

confidence: 99%

Efficiency in higher education. Empirical study in public universities of Colombia and Spain

2020

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Resumen En las últimas décadas, las universidades de Iberoamérica han introducido nuevos esquemas de evaluación de calidad y rendición de cuentas, inspirados en el modelo de la nueva gestión pública (NGP). En este contexto, la eficiencia en el reparto de los fondos públicos y la obtención del máximo rendimiento posible son una prioridad. Así, medir la eficiencia en el sector público, y específicamente en la educación superior, se ha convertido en un desafío para la ciencia contable. El objetivo de este trabajo es una propuesta para el cálculo de índices de eficiencia con modelos de análisis envolvente de datos (DEA), introduciendo un paso previo a través del análisis de correlación canónica (ACC). A través de esta técnica se pretende mejorar la capacidad de discriminación y superar la monodimensionalidad y falta de confiabilidad en la representatividad de las variables input y output elegidas. El estudio se aplicó en las universidades públicas de Colombia y España durante los años 2015 y 2016. Los resultados obtenidos demuestran la conveniencia de aplicar este paso preliminar en el análisis multivariante. Con ello, se refuerza la necesidad de explorar metodologías más rigurosas en etapas previas y posteriores al cálculo de los índices de eficiencia, que permitan generar confianza, a efectos de ser utilizados en la formulación de políticas y gestión de recursos para el sector.

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Evaluation of public HEI on teaching, research, and knowledge dissemination by Data Envelopment Analysis

Cited by 28 publications

References 38 publications

Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis

Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis

Is There Complementarity between Teaching and Research? Evidence from Pakistani Higher Education Institutions

Efficiency in higher education. Empirical study in public universities of Colombia and Spain

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