Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework.
China's higher education system is one of the largest and most complex in the world, with a vast number of higher education institutions scattered across different provinces. Evaluating the efficiency, productivity change, and technology gaps of these institutions is significant for understandi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294902&type=printable |
| _version_ | 1797349363755778048 |
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| author | Jiani Liu Kim Jungyin Shim Jaewoo Lee Heechul Wasi Ul Hassan Shah |
| author_facet | Jiani Liu Kim Jungyin Shim Jaewoo Lee Heechul Wasi Ul Hassan Shah |
| author_sort | Jiani Liu |
| collection | DOAJ |
| description | China's higher education system is one of the largest and most complex in the world, with a vast number of higher education institutions scattered across different provinces. Evaluating the efficiency, productivity change, and technology gaps of these institutions is significant for understanding their performance and identifying areas for improvement. In this context, this study employs three different approaches, DEA super-SBM, Malmquist Productivity Index, and Meta-Frontier Analysis, to evaluate the efficiency, productivity change, and technology gaps of China's provincial higher education systems. The study results revealed that the average higher education efficiency in China is 1.0015 for the study period of 2010-2021. A rapid and continuous increase was witnessed in higher education efficiency in China from 2014 to 2020. Meta-frontier and Group-frontier, higher education efficiency scores of low-level literate provinces are greater than middle and high-level literate provinces. However, the TGR of higher and middle-level literate provinces is greater than low-level literate provinces, indicating a superior technological level. The average MI score is 1.0034, indicating growth in productivity change. Efficiency change is the main determinant in higher education productivity growth instead of technological growth. The Middle and Low-level literate provinces witnessed growth in higher education productivity, while high-level literate provinces observed a decline in productivity change. The Kruskal-Wallis test provides evidence that a significant statistical difference exists among the three groups of education levels for the average scores of MI, EC, TC, and TGR. |
| first_indexed | 2024-03-08T12:29:22Z |
| format | Article |
| id | doaj.art-88ec73cdcf014182ab5f98d02834502d |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-08T12:29:22Z |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-88ec73cdcf014182ab5f98d02834502d2024-01-22T05:31:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01191e029490210.1371/journal.pone.0294902Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework.Jiani LiuKim JungyinShim JaewooLee HeechulWasi Ul Hassan ShahChina's higher education system is one of the largest and most complex in the world, with a vast number of higher education institutions scattered across different provinces. Evaluating the efficiency, productivity change, and technology gaps of these institutions is significant for understanding their performance and identifying areas for improvement. In this context, this study employs three different approaches, DEA super-SBM, Malmquist Productivity Index, and Meta-Frontier Analysis, to evaluate the efficiency, productivity change, and technology gaps of China's provincial higher education systems. The study results revealed that the average higher education efficiency in China is 1.0015 for the study period of 2010-2021. A rapid and continuous increase was witnessed in higher education efficiency in China from 2014 to 2020. Meta-frontier and Group-frontier, higher education efficiency scores of low-level literate provinces are greater than middle and high-level literate provinces. However, the TGR of higher and middle-level literate provinces is greater than low-level literate provinces, indicating a superior technological level. The average MI score is 1.0034, indicating growth in productivity change. Efficiency change is the main determinant in higher education productivity growth instead of technological growth. The Middle and Low-level literate provinces witnessed growth in higher education productivity, while high-level literate provinces observed a decline in productivity change. The Kruskal-Wallis test provides evidence that a significant statistical difference exists among the three groups of education levels for the average scores of MI, EC, TC, and TGR.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294902&type=printable |
| spellingShingle | Jiani Liu Kim Jungyin Shim Jaewoo Lee Heechul Wasi Ul Hassan Shah Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework. PLoS ONE |
| title | Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework. |
| title_full | Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework. |
| title_fullStr | Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework. |
| title_full_unstemmed | Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework. |
| title_short | Evaluating the efficiency, productivity change, and technology gaps of China's provincial higher education systems: A comprehensive analytical framework. |
| title_sort | evaluating the efficiency productivity change and technology gaps of china s provincial higher education systems a comprehensive analytical framework |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294902&type=printable |
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