Analysing the importance of demographic factor as determinant of research efficiency through data envelopment analysis
Universities play an active and important role in the development of a country as centres for generating ideas and knowledge which,in turn,drives the development of the economy as well as improves the quality of life for its citizens. Public universities around the world have begun to realise the...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Global Illuminators Malaysia
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68359/1/ARTICLE02.pdf http://psasir.upm.edu.my/id/eprint/68359/ https://globalilluminators.org/wp-content/uploads/2018/10/Abstarct-Proceeding-Book-RCMI-2018.pdf |
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| Summary: | Universities play an active and important role in the development of a country as centres for generating ideas and knowledge which,in turn,drives the development of the economy as well as improves the quality of life for its citizens. Public universities around the world have begun to realise the importance of ensuring their financial sustainability by exploring alternative sources of income aside from the traditional government subsidy,such as research grants from public funds, private agencies and international bodies. The question on how efficiently these grants are utilised by researchers would,therefore,become an important issue. This paper adopts the Data Envelopment Analysis (DEA) method to measure the relative inefficiencies of the academic faculty members of University Putra Malaysia (UPM), a public university in Malaysia using data collected from 2010 to 2016 and investigates the relationships between demographic factors, field of study,and research inefficiency. The input and output variables used in this study are research grants received by academic faculty members and their corresponding publications in Citation Indexed Journals (“CIJ”), non-CIJ, as well as publishing books and chapters in books, with each output measured separately. Data are divided into two clusters: science and social science. Demographic factors examined are academic position of the researcher. Research inefficiency for both science and social science fields generally worsens with higher academic positions. The effect for science field is more pronounced for CIJ, non-CIJ,and books. Implications for future research and practice are discussed. |
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