Wan Husain , Wan Rohaida (2014) Malaysia from PSPTN perspective using data envelopment analysis. In: 12th International Conference on DEA , 14th-17th April 2014, University of Malaya.
PDF
- Published Version
Restricted to Repository staff only Download (1MB) | Request a copy |
Abstract
Objective of the study is to look at the efficiency of Malaysia in terms of its effectiveness in achieving the national policies on higher education as stipulated by a blueprint called Pelan Strategik Pengajian Tinggi Negara (PSPTN or National Higher Education Strategic Plan, NHESP). Accordingly, 9 variables have been selected in such a way that they capture important issues addressed by the 5 pillars of PSPTN namely Research & Innovation; Enculturation of Lifelong Learning; Improving the Quality of Teaching & Learning; Intensifying Internationalization; and Widening Access and Increasing Equity. 43 countries have been analysed and short listed based on availability of data on the chosen variables. Malaysia is identified as 92.6% efficient using variable return to scale DEA model. It is above the average performance of 90.23%. Among the 24 countries that are identified as fully efficient, only Indonesia, Bulgaria and Slovenia are identified as efficient peers for Malaysia with significant weights. Discussion focuses on the practice of efficient countries.
Item Type: | Conference or Workshop Item (Full Paper) |
---|---|
Additional Information: | 3567/41496 (ISBN 9781854494870) |
Uncontrolled Keywords: | Data Envelopment Analysis; Malaysia; Countries performance; PSPTN; NHESP |
Subjects: | H Social Sciences > HA Statistics > HA154 Statistical data |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Economics and Management Sciences > Department of Business Administration |
Depositing User: | Dr Wan Rohaida Wan Husain |
Date Deposited: | 16 Feb 2015 15:17 |
Last Modified: | 08 Apr 2015 12:00 |
URI: | http://irep.iium.edu.my/id/eprint/41496 |
Actions (login required)
View Item |