Input Rigidities and Performance of Vietnamese Universities

Tran, Carolyn‐Dung Thi Thanh; Villano, Renato

doi:10.1111/asej.12124

Cited by 15 publications

(17 citation statements)

References 50 publications

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“…Sullivan et al (2012) asserted that enrolments and completions have been shown to be important in labour market studies and thus omitting one can miss a critical output dimension. Therefore, these variables should be considered as outputs in assessing the performance of TEIs, which are consistent with Cabanda (2007a, 2007b) Tran and Villano (2015, 2017a, 2017b, 2017c, 2017d, 2018.…”

Section: Input and Output Variablesmentioning

confidence: 85%

“…Operating costs were annually spent for TEIs' operations including teaching staff wages, student allowances, learning facility purchases, and other related academic costs. These input variables were also used in recent studies such as de Franca, de Figueiredo, and Lapa (2010), Miranda, Gramani, and Andrade (2012), Nguyen et al 2015, Tran and Villano (2015, 2017a, 2017b, 2017c, 2017d, 2018.…”

Section: Input and Output Variablesmentioning

confidence: 99%

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Technical Efficiency Heterogeneity of Tertiary Institutions in Viet Nam: A Metafrontier Directional Technology Approach

Villano

Tran

2019

Technological and Economic Development of Economy

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The higher education system of Viet Nam has been undergoing reform process with the aim of seeking a position in the world’s education market. However, recent changes in the system have made the operational efficiency of the system less stable, thus making it more challenging to improve the country’s universities world rankings. In this paper, we investigate the performance of tertiary education institutions in Viet Nam and evaluate the efficiency gap between colleges and universities. Using the metafrontier directional technology approach, we estimate both the group frontier and metafrontier efficiencies for 112 universities and 141 colleges using data for 2011–2013 and compute their differences imposed by the technology associated with different levels of ownership and locations. The findings showed that the performance of universities were better than that of colleges, at 0.837 0.774, respectively. However, under an unrestricted metafrontier framework, the metatechnology ratios suggest that universities and colleges were operated comparatively well by potentially increasing their performance by 7.8 and 5.0 per cent, respectively. Both urban universities and colleges are found to be more efficient than their rural counterparts, but the effects of ownerships showed mixed results on the performance of universities and colleges. Our results highlight the need for appropriate policies and enabling environment that will enhance the performance of each institution. It is imperative to re-evaluate the specific role and individual contributions of colleges and universities in the national education system and assist rural universities and colleges to explore their full potential to enhance their performance.

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Section: Input and Output Variablesmentioning

confidence: 85%

Section: Input and Output Variablesmentioning

confidence: 99%

Technical Efficiency Heterogeneity of Tertiary Institutions in Viet Nam: A Metafrontier Directional Technology Approach

Villano

Tran

2019

Technological and Economic Development of Economy

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“…Although research universities have the potential to exhibit high performance, this does not guarantee efficient use of their resources. Moreover, the efficiency of research universities may vary according to institutional ownership (Casani et al, 2014;Kao and Pao, 2009;Tran and Villano, 2017). Future research could include all universities in T€ urkiye and compare the efficiency of normal universities and research universities.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the efficiency of research universities may vary according to institutional ownership (Casani et al. , 2014; Kao and Pao, 2009; Tran and Villano, 2017). Future research could include all universities in Türkiye and compare the efficiency of normal universities and research universities.…”

Section: Discussionmentioning

confidence: 99%

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Maral

2023

IJEM

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PurposeThe purpose of this study is to examine the research efficiency of the research universities in Türkiye and to identify potential areas for improvement and to examine the factors affecting efficiency.Design/methodology/approachFor this purpose, data envelopment analysis was conducted with the output-oriented Banker, Charnes and Cooper (BCC) model with five-year article and citation counts data of 23 universities which were obtained from the Web of Science Core Collection.FindingsThe findings of the study show that only eight research universities are efficient. There are areas of development for universities to be effective. In addition, the findings of the regression analysis conducted to reveal the determinants of efficiency revealed significant results.Research limitations/implicationsResearch universities in Türkiye should allocate their resources in a way to increase research performance. Policies should be developed to increase the number of publications and, more importantly, the quality of publications.Originality/valuePotential areas for improvement were identified for the universities to become efficient. The results revealed that both publication quality and productivity need to be improved, but there is more room for improvement in publication quality. Regression analysis with the determinants of efficiency scores shows that the development level of the region where the universities are located has a positive effect on the research efficiency of universities. In addition, it is concluded that smaller universities have better efficiency scores.

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“…From the best of our knowledge this is the first study to analyse total factor productivity growth in South African higher education, and by doing so, we add to the limited studies in this area in developing and emerging economies using advanced TFP index methods such as Färe–Primont index (Tran & Villano, 2017 ). Majority of existing studies in this area have largely focussed on developed economies (see, Witte & López-Torres, 2017 for review) and are limited to the application of Malmquist-based index approach (e.g., Agasisti & Johnes, 2009 ; Flegg & Allen, 2007 ; Worthington & Lee, 2008 ) and Törnqvist index approaches (e.g., Moore et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Estimating South African Higher Education Productivity and Its Determinants Using Färe-Primont Index: Are Historically Disadvantaged Universities Catching Up?

Temoso

Myeki

2022

Res High Educ

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Recent high dropout and low graduation rates in the South African higher education institutions as well as government funding cuts and the economic uncertainty due to COVID-19 pandemic have heightened the urgency for the higher education sector to improve its productivity. However, empirical evidence on the productivity growth of the sector remains unexplored. To address this gap, we applied a Färe-Primont index approach to a panel data of 22 public universities over an 8-year period to measure total factor productivity (TFP) and its components—technological change, technical, scale and mix efficiency changes. We also used a feasible generalised least squares model to assess the determinants of productivity and efficiency growth. The results show that the average TFP of the sector for the study period was 0.631, led by historically advantaged universities (0.894), whilst historically disadvantaged universities had lower average TFP (0.823). During the period, TFP increased by 3.43%, largely driven by scale and mix efficiency changes (5.32%) and technical efficiency change (0.83%), whilst technical change declined by 1.80%. In terms of university types, the comprehensive universities achieved the largest TFP growth (6.13%) followed by traditional universities (4.85%), and technology universities by 1.41%. TFP growth was positively influenced by student graduation rates, quality of academics and academic-student ratios. Therefore, policy considerations to improve the sector’s productivity and efficiency should consider investment on research and development, adoption of teaching and research innovations, re-skilling through training and education and aligning admission policies with staffing.

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Input Rigidities and Performance of Vietnamese Universities

Cited by 15 publications

References 50 publications

Technical Efficiency Heterogeneity of Tertiary Institutions in Viet Nam: A Metafrontier Directional Technology Approach

Technical Efficiency Heterogeneity of Tertiary Institutions in Viet Nam: A Metafrontier Directional Technology Approach

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Estimating South African Higher Education Productivity and Its Determinants Using Färe-Primont Index: Are Historically Disadvantaged Universities Catching Up?

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