2018
DOI: 10.1016/j.procs.2018.10.204
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Efficiency, Technology and Productivity Change of Higher Educational Institutions Directly under the Ministry of Education of China in 2007-2012

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Cited by 9 publications
(9 citation statements)
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“…Both descriptive and inferential statistical techniques such as chi-square t-test and one-way ANOVA were used for analyzing the data (Yousefy and Baratali, 2011). Introducing the times of papers being cited to reflect the quality and international influence of scientific research, and the reputation to reflect the quality of teaching activity, the authors use Malmquist Index based on DEA to measure efficiency, technology, and productivity change (Yaohua et al, 2018). Efficiency scores in research J. Wolszczak-Derlacz (2017) are determined using nonparametric DEA with different input-output sets and considering different frontiers: global frontier (all HEIs pooled together), regional frontier (Europe and the U.S. having their frontiers), and country-specific ones.…”
Section: Methodsmentioning
confidence: 99%
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“…Both descriptive and inferential statistical techniques such as chi-square t-test and one-way ANOVA were used for analyzing the data (Yousefy and Baratali, 2011). Introducing the times of papers being cited to reflect the quality and international influence of scientific research, and the reputation to reflect the quality of teaching activity, the authors use Malmquist Index based on DEA to measure efficiency, technology, and productivity change (Yaohua et al, 2018). Efficiency scores in research J. Wolszczak-Derlacz (2017) are determined using nonparametric DEA with different input-output sets and considering different frontiers: global frontier (all HEIs pooled together), regional frontier (Europe and the U.S. having their frontiers), and country-specific ones.…”
Section: Methodsmentioning
confidence: 99%
“…The improvement of technical efficiency is the main reason for the growth of HEIs, and the decline of technology has played a negative role. From a structural point of view, research by R. Yaohua et al (2018) shows that the development of HEIs is uneven. This imbalance is reflected in two aspects.…”
Section: Introductionmentioning
confidence: 99%
“…In this study, we regarded full-time teachers as the main human resource input because they are the core force for student cultivation and scientific research. Some existing literature works include a broader set of input variables, such as teacher-to-student ratio, percentage of academic staff with a professor title, the proportion of postgraduate students, research expenditures, library books, and building space (Ding & Zeng, 2015;Johnes & Yu, 2008;Yaohua et al, 2018). However, Revenue and Teacher are the two most representative input variables and are highly correlated with other variables in the Chinese higher education system.…”
Section: Datasetmentioning
confidence: 99%
“…Further, the literature has been divided based on the aforementioned efficiencies. Starting with the financing of universities followed by different types of efficiency, there are various researchers came up with specific research includes measuring the financial performance of non-profit organizations (Ritchie and Kolodinsky, 2003) as well as higher education (Tilak, 1997;Chandrasiri, 2003;Guthrie and Neumann, 2007;Hicks, 2010;Feranecova and Krigovska, 2016;Ahmad et al, 2018;Marginson, 2018;Yaohua et al, 2018;Hossain and Mondal, 2019). Fisher et al, 2004 studied the financial statements of US private colleges and universities and found that 60% of US private colleges and universities described a different operating measure.…”
Section: Literature Reviewmentioning
confidence: 99%