The Relative Efficiencies of Research Universities of Science and Technology in China: Based on the Data Envelopment Analysis and Stochastic Frontier Analysis

Wang, Chuanyi; Xiao-hong, Lv; Shikui, Zhao

doi:10.12973/eurasia.2016.02302a

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…Therefore, they use a two-stage network DEA model (Yang et al, 2018), in which the first stage is related to basic research and the second to technology transfer. A few authors (e.g., Wolszczak-Derlacz, 2013;Chuanyi et al, 2016;Łącka, Brzezicki, 2020) use two separate empirical models adopting other variables. Wolszczak-Derlacz (2013) separately estimated the efficiency of scientific and implementation activities of 31 public higher education institutions in Poland (mainly universities and polytechnics) in 2001-2008.…”

Section: Literature Reviewmentioning

confidence: 99%

The efficiency of scientific activities and technology transfer in higher education in Poland

Łącka,

Brzezicki

2023

nsawg

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The objective of the article is to measure and evaluate the efficiency of scientific activity and technology transfer to the economy by public higher education institutions (HEIs) in Poland and to formulate recommendations for state policy to increase the effectiveness of the technology transfer process by them. The study measured scientific activity and technology transfer separately in two groups of higher education institutions (i.e., universities and technical universities). Two non-radial models, SBM and BP-SBM, which belong to the non-parametric Data Envelopment Analysis (DEA) method, were used for the study.All examined higher education institutions are more efficient in basic research than in transferring technology to the economy. However, technical universities are more efficient in technology transfer and universities in basic research. In most cases, technical universities are more accomplished in scientific activity than universities in technology transfer. Research shows that universities have been almost entirely focused on basic research, and technical universities have engaged in basic research and technology transfer to the economy in various ways. The research results confirmed the existence of very weak links between science and business in terms of knowledge and technology transfer to the economy. This is due to many factors. The authors presented recommendations for necessary actions that will enable the increase of technology transfer by public universities in Poland.An interesting direction of future research is the measurement and evaluation of the effectiveness of technology transfer of the second group of NIS entities in Poland, i.e. research institutes.

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Section: Literature Reviewmentioning

confidence: 99%

The efficiency of scientific activities and technology transfer in higher education in Poland

Łącka,

Brzezicki

2023

nsawg

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“…Data envelopment analysis (DEA) is one of the most used approaches for evaluating the efficiency of higher education institutions (Aleskerov et al, 2017;Andersson et al, 2017;Chuanyi et al, 2016;Johnes and Tone, 2017;Mikušová, 2017).…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Efficiency of Turkish Health Management Departments through Data Envelopment Analysis

Tarcan

Yeşilaydın

2023

ERIES Journal

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The purpose of this study was to determine which of the input and output variables made a statistically significant difference in the efficiency status of undergraduate departments offering Health Management education in Turkey, to identify areas where inefficient departments could improve, and to determine which of the input and output variables made a statistically significant difference in the efficiency status of inefficient departments. The output-oriented data envelopment analysis model was employed in the efficiency analysis. As a decision-making unit, there were 43 Health Management departments. Mann-Whitney U test was used to analyse whether or not there was a statistically significant difference between the efficiencies of the departments based on the input and output variables. In Turkey, 15 of 43 state universities providing formal undergraduate education in the field of Health Management are fully efficient. Also, there was a significant difference in terms of the “number of completed projects” and the “number of papers in journals screened within the scope of Web of Science Core Collection (WOSCC)” variables. No study examining the efficiency of Health Management departments has been found in the literature. Department administrators are encouraged to increase their publications and look into ways to design more initiatives.

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“…As with studies of academic institutions, DEA-based academic R&D efficiency analyses involve many specifications. Among country-level studies published are a Taiwanese study of team communication and its relevance to academic R&D efficiency (Hung et al, 2013), several Chinese investigations into general research performance (Chuanyi et al, 2016;Johnes and Yu, 2008;Ng and Li, 2000), a study of "efficiency and technological change" for U.S. universities (Barham et al, 2011), and one in Malaysia examining measures for "knowledge management performance" (Kuah and Wong, 2013).…”

Section: Academic Randdmentioning

confidence: 99%

ACADEMIC R&D ACROSS THE STATES: EFFICIENCY AND ITS DETERMINANTS

2019

Glob J Acc Fin

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A review of the literature suggests that there are few studies on the efficiency of academic research and development (R&D) funding in the United States. Much of the extant literature focuses on efficiency assessments at either the academic department level or the university level. We are not aware of any studies that analyze the efficiency of academic R&D funding at the state level. The purpose of this paper is to fill this void by assessing the efficiency of academic R&D funding at the state level using Data Envelopment Analysis (DEA), a non-parametric efficiency estimation method that can utilize multiple inputs and outputs to create a single efficiency score. The DEA results, along with results in changes in R&D productivity over time, suggest that some U.S. states are relatively better positioned to turn their R&D dollars into academic and business outputs. Tennessee is used as an example to show how to apply the DEA results to guide policy decisions toward efficiency. Tobit model results imply that the diversity of funding source, university R&D intensity, and R&D concentration are key for R&D funding efficiency. The policy implications of the study findings are discussed.

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The Relative Efficiencies of Research Universities of Science and Technology in China: Based on the Data Envelopment Analysis and Stochastic Frontier Analysis

Cited by 8 publications

References 33 publications

The efficiency of scientific activities and technology transfer in higher education in Poland

The efficiency of scientific activities and technology transfer in higher education in Poland

Efficiency of Turkish Health Management Departments through Data Envelopment Analysis

ACADEMIC R&D ACROSS THE STATES: EFFICIENCY AND ITS DETERMINANTS

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