Research article | Open Access
International Journal of Research in Teacher Education 2019, Vol. 10(1) 31-10
Assessing the Efficiency of Public Universities Colleges of Education in the promotion of Quality Education in Ghana through DEA-SBM
pp. 31 - 10
Publish Date: March 15, 2019 | Single/Total View: 156/860 | Single/Total Download: 212/1.697
Abstract
As efficiency plays a pivotal role in the realization of quality education and teacher training institutions are the lifeblood of quality teachers, the present study presents the results of an efficiency study of some selected Ghanaian public universities colleges of education in the three Northern Regions of Ghana from 2012-2017. Through the use of Slack Based Model of Data Envelope Analysis and a model of CCR, our results indicate that Tamale College of Education and Tumu were the only efficient colleges out of the four selected colleges in the study domain. While Bagabaga College of Education and St. John BOSCO was the inefficient colleges during the study period of 2012 ' 2017. The results also suggested that by adopting the best managerial practices, the Colleges can, on an average, reduce their inputs by at least 2.2% and still produce at the same level of outputs. According to the slack-based results, only two Colleges that is, Bagabaga College of Education and St. John BOSCO were inefficient and needed adjustment in inputs and outputs to become efficient.
Keywords: collages of education; data envelope analysis; slack-based model; efficiency
APA 7th edition
Iddrisu, S., Mohammed, A.S., Anaba, O.A., & Khan, H.S.U.D. (2019). Assessing the Efficiency of Public Universities Colleges of Education in the promotion of Quality Education in Ghana through DEA-SBM. International Journal of Research in Teacher Education, 10(1), 31-10.
Harvard
Iddrisu, S., Mohammed, A., Anaba, O. and Khan, H. (2019). Assessing the Efficiency of Public Universities Colleges of Education in the promotion of Quality Education in Ghana through DEA-SBM. International Journal of Research in Teacher Education, 10(1), pp. 31-10.
Chicago 16th edition
Iddrisu, Sulemana, Abubakari Sadick Mohammed, Oswin Aganda Anaba and Hira Salah Ud Din Khan (2019). "Assessing the Efficiency of Public Universities Colleges of Education in the promotion of Quality Education in Ghana through DEA-SBM". International Journal of Research in Teacher Education 10 (1):31-10.
- Akyeampong, A. (2003). Teacher Training in Ghana-Does It Count? Multi-Site Teacher Education Project (MUSTER): Country Report One. DfID. [Google Scholar]
- Aristovnik, A., Seljak, J., & Mencinger, J. (2014). Performance measurement of police forces at the local level: A non-parametric mathematical programming approach. Expert Systems with Applications, 41(4), 1647–1653. [Google Scholar]
- Azadeh, A., Haghighi, S. M., Zarrin, M., & Khaefi, S. (2015). Performance evaluation of Iranian electricity distribution units by using stochastic data envelopment analysis. International Journal of Electrical Power & Energy Systems, 73, 919–931. [Google Scholar]
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. [Google Scholar]
- Du, J., Cook, W. D., Liang, L., & Zhu, J. (2014). Fixed cost and resource allocation based on DEA cross-efficiency. European Journal of Operational Research, 235(1), 206–214. [Google Scholar]
- Souza, G. da S., & Gomes, E. G. (2015). Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach. European Journal of Operational Research, 240(3), 819–824. [Google Scholar]
- Escorcia Caballero, R., Visbal Cadavid, D., & Agudelo Toloza, J. M. (2015). Eficiencia en las instituciones educativas públicas de la ciudad de Santa Marta (Colombia) mediante" Análisis Envolvente de Datos. Ingeniare. Revista Chilena de Ingeniería, 23(4), 579–593. [Google Scholar]
- Fang, L., & Li, H. (2015). Centralized resource allocation based on the cost–revenue analysis. Computers & Industrial Engineering, 85, 395–401. [Google Scholar]
- Gopalakrishnan, G. (2015). How to apply academic supply chain management: The case of an international university. Management: Journal of Contemporary Management Issues, 20(1), 207–221. [Google Scholar]
- Grosskopf, S., Hayes, K. J., & Taylor, L. L. (2014). Applied efficiency analysis in education. Economics and Business Letters, 3(1), 19–26. [Google Scholar]
- Huguenin, J.-M. (2015). Determinants of school efficiency: The case of primary schools in the State of Geneva, Switzerland. International Journal of Educational Management, 29(5), 539–562. [Google Scholar]
- Izadikhah, M., & Saen, R. F. (2018). Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors. Computers & Operations Research, 100, 343–367. [Google Scholar]
- Jauhar, S. K., Pant, M., & Nagar, A. K. (2016). Sustainable educational supply chain performance measurement through DEA and Differential Evolution : a case on Indian HEI. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2016.10.007 [Google Scholar] [Crossref]
- Koshal, R. K., Koshal, M., & Gupta, A. K. (2013). Students’ Mathematics Academic Performance: An Interaction of Inputs from the Students, Schools, and Voters. Perspectives on Global Development and Technology, 12(5–6), 680–698. [Google Scholar]
- Kwon, H.-B., & Lee, J. (2015). Two-stage production modeling of large US banks: A DEA-neural network approach. Expert Systems with Applications, 42(19), 6758–6766. [Google Scholar]
- Lozano, S. (2015). A joint-inputs Network DEA approach to production and pollution-generating technologies. Expert Systems with Applications, 42(21), 7960–7968. [Google Scholar]
- Ministry of Finance, G. (2019). The Budget Statement and Economic policy of The Government of Ghana, (November). [Google Scholar]
- Omrani, H., Beiragh, R. G., & Kaleibari, S. S. (2015). Performance assessment of Iranian electricity distribution companies by an integrated cooperative game data envelopment analysis principal component analysis approach. International Journal of Electrical Power & Energy Systems, 64, 617–625. [Google Scholar]
- Tao, L., Liu, X., & Chen, Y. (2013). Online banking performance evaluation using data envelopment analysis and axiomatic fuzzy set clustering. Quality & Quantity, 47(2), 1259–1273. [Google Scholar]
- Tone, K. (2002). A slack-based measure ofsuper -efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. [Google Scholar]
- Tsolas, I. E., & Charles, V. (2015). Incorporating risk into bank efficiency: A satisficing DEA approach to assess the Greek banking crisis. Expert Systems with Applications, 42(7), 3491–3500. [Google Scholar]
- Tyagi, P., Yadav, S. P., & Singh, S. P. (2008). Efficiency analysis of schools using DEA: a case study of Uttar Pradesh state in India. Department of Mathematics, IIT, Roorkee. India. [Google Scholar]
- UN. (2016). The Sustainable Development Goals Report 2017. United Nations Statistics Division Sustainable Development Goals website at https://unstats.un.org/sdgs. https://doi.org/10.18356/4d038e1e-en [Google Scholar] [Crossref]
- Unwin, T. (2005). Towards a framework for the use of ICT in teacher training in Africa. Open Learning, 20(2), 113–129. https://doi.org/10.1080/02680510500094124 [Google Scholar] [Crossref]
- Visbal-Cadavid, D., Martínez-Gómez, M., & Guijarro, F. (2017). Assessing the Efficiency of Public Universities through DEA. A Case Study. Sustainability, 9(8), 1416. [Google Scholar]
- Wanke, P., & Barros, C. (2014). Two-stage DEA: An application to major Brazilian banks. Expert Systems with Applications, 41(5), 2337–2344. [Google Scholar]
- William W. Copper, Lawrence, M. S. and K. T. (2007). DATA ENVELOPMENT ANALYSIS A Comprehensive Text with Models , Applications , References Second Edition. [Google Scholar]
- Woo, C., Chung, Y., Chun, D., Seo, H., & Hong, S. (2015). The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries. Renewable and Sustainable Energy Reviews, 47, 367–376. [Google Scholar]
