Analysing the Importance of Demographic Factor as Determinant ofResearch Efficiency through Data Envelopment Analysis

Norliyana Kamarudin, A. N Bany-Ariffin, Hussin Yusof, Yusnita Tugiran, Asrizam Esam and Yushaida Yusof
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Norliyana Kamarudin: Faculty of Economics and Management, Universiti Putra Malaysia,Seri Kembangan, Malaysia
A. N Bany-Ariffin: Faculty of Economics and Management, Universiti Putra Malaysia,Seri Kembangan, Malaysia
Hussin Yusof: Faculty of Economics and Management, Universiti Putra Malaysia,Seri Kembangan, Malaysia
Yusnita Tugiran: Faculty of Economics and Management, Universiti Putra Malaysia,Seri Kembangan, Malaysia
Asrizam Esam: Faculty of Economics and Management, Universiti Putra Malaysia,Seri Kembangan, Malaysia
Yushaida Yusof: Research Management Centre, Universiti Putra Malaysia,Seri Kembangan, Malaysia

International Journal of Business and Economic Affairs (IJBEA), 2018, vol. 3, issue 3, 114-129

Abstract: Universities now seen as a crucial national assets in the growth of a country, including to be centres forcreating knowledge and innovation, that later will drives the development of the economy as well as improving thequality of life for its citizens. Currently, public universities around the world have begun to realise the importance ofensuring their nancial sustainability by exploring alternatives sources of income aside from the traditional governmentsubsidy such as research grants from public grants, private institutions and international agencies. The question on howeciently these grants are utilised by researchers would therefore become an important issue. This paper adopts theData Envelopment Analysis (DEA) method to measure the relative ineciencies of the academic faculty members ofUniversity Putra Malaysia (UPM), a public university in Malaysia using data collected from 2010 to 2016 and investigatesthe relationships between demographic factors, eld of study and research ineciency. The input and output variablesused in this study are research grants received by academic faculty members and their corresponding publications inCitation Indexed Journals (CIJ), non-CIJ, as well as publishing books and chapters in books, with each output measuredseparately. Data is divided into two clusters: science and social science. Demographic factor examined are academicposition of the researcher. Research ineciency for the both science and social science elds generally worsen with higheracademic positions. The e ect for science eld is more pronounced for CIJ, non-CIJ and books. Implications for futureresearch and practice are discussed.

Keywords: Research efficiency; Data Envelopment Analysis (DEA); Public universities (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:aya:ijbeaa:2018:p:114-129

DOI: 10.24088/IJBEA-2018-33003

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