Fieger, Peter and Villano, Renato and Cooksey, Ray (2015): Two dimensional efficiency measurements in Australian TAFE Institutes.
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Abstract
Technical and Further Education (TAFE) institutes provide for the majority of Australian government funded courses in vocational education. In this study we used institutional financial, educational, demographic and employed stochastic frontier analysis to develop two distinct efficiency measures. The first model examined institutional efficiency in the transformation of financial resources into teaching loads. The second model evaluated efficiency in the transformation of institutional resources into post-study employment outcomes. In both models we found significant inefficiencies in the Australian TAFE system. We then assessed the relationship between both efficiency measures. While there was no direct linear relationship, a distinct pattern was detectable. K-means cluster analysis was used to establish groupings of similar institutes and subsequent canonical discriminant analysis to develop a typology of these clusters. We conclude that, based on the measures developed in this study, there are inefficiencies in the Australian TAFE system for which an underlying typology exists.
Item Type: | MPRA Paper |
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Original Title: | Two dimensional efficiency measurements in Australian TAFE Institutes |
Language: | English |
Keywords: | Education, Efficiency, Productivity, Performance Measurement |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General I - Health, Education, and Welfare > I2 - Education and Research Institutions > I21 - Analysis of Education |
Item ID: | 64625 |
Depositing User: | Peter Fieger |
Date Deposited: | 27 May 2015 20:51 |
Last Modified: | 02 Oct 2019 03:05 |
References: | Abbott, M., & Doucouliagos, C. (1998). DEA analysis of the efficiency of Victorian technical and further education institutes. Abbott, M., & Doucouliagos, C. (2002). A data envelopment analysis of the efficiency of Victorian TAFE institutes. Australian Economic Review, 35(1), 55-69. Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: a data envelopment analysis. Economics of Education review, 22(1), 89-97. Abbott, M., & Doucouliagos, C. (2009). Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities. Education Economics, 17(1), 31-57. Aigner, D., Lovell, C. A., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of econometrics, 6(1), 21-37. Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planning Sciences, 35(1),57-80. Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical economics, 20(2), 325-332. Carrington, R., Coelli T. & Rao, P. (2005), ‘The performance of Australian Universities: Conceptual issues, and preliminary results’, Economic Papers, Vol. 24 No.2, pp. 145 – 163,2005.19 Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444. Chen, C. F. (2007). Applying the stochastic frontier approach to measure hotel managerial efficiency in Taiwan. Tourism Management, 28(3), 696-702. Cobb, C. W., & Douglas, P. H. (1928). A theory of production. The American Economic Review, 18(1), 139-165. Cullinane, K., & Song, D. W. (2006). Estimating the relative efficiency of European container ports: a stochastic frontier analysis. Research in Transportation Economics, 16, 85-115. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290. Fieger, P. (2010). An investigation of TAFE efficiency. 2010 AVETRA Conference; published conference presentation, Surfers Paradise, 2010. Hashimoto, K., & Cohn, E. (1997). Economies of scale and scope in Japanese private universities. Education Economics, 5(2), 107-115. Horne, J., & Hu, B. (2008). Estimation of cost efficiency of Australian universities. Mathematics and computers in simulation, 78(2), 266-275. Izadi, H., Johnes, G., Oskrochi, R., & Crouchley, R. (2002). Stochastic frontier estimation of a CES cost function: the case of higher education in Britain. Economics of Education Review, 21(1), 63-71. NCVER Financial Information. (2014). Australian Vocational education and training series, NCVER, Adelaide. Waldman, D. M. (1982). A stationary point for the stochastic frontier likelihood. Journal of Econometrics, 18(2), 275-279. Wang, H. J., & Schmidt, P. (2002). One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels. Journal of Productivity Analysis, 18(2),129-144. Worthington, A. C., & Lee, B. L. (2008). Efficiency, technology and productivity change in Australian universities, 1998–2003. Economics of Education Review, 27(3), 285-298 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/64625 |