Contributory Pension Fund Administrations in Nigeria: Stochastic Frontier Analysis of Its Efficiency and Implications for Policy Designs
- 1 Department of Accounting and Finance, Elizade University, Ilara-Mokin, Nigeria
- 2 Department of Economics, Obafemi Awolowo University, Ile-Ife, Nigeria
- 3 Department of Management and Accounting, Obafemi Awolowo University, Ile-Ife, Nigeria
Abstract
The study assessed the technical efficiency of pension fund administrators in Nigeria using Stochastic Cost Frontier Model to generate efficiency scores for each of the eleven (11) selected pension fund administrators from a population of twenty-one (21). Panel data gathered from the annual reports of the selected pension fund administrators and the National Pension Commission were analysed using the maximum likelihood technique. The result showed that inefficiency, in varying degrees, existed in the selected fund administrators due to input costs on labour, equipment and premises and the mean and median efficiency scores were about 75% and 72% respectively. While the most efficient pension fund administrator recorded inefficiency score of 0.077, the least efficient pension fund administrator had inefficiency score of 0.388. The study concluded that increase in profitability, number of contributors, engaging in open fund investment activities and merger and acquisition reduce operating cost. It was therefore recommended that there should be a regulator-initiated merger and acquisition in the industry to eliminate waste, with positive impact on investment income. Besides, the regulatory agency should ease and expand transfer windows for existing contributors to transfer their pension contributions from an inefficient pension manager to efficient one to engender competition in the pension industry.
- Abade, R. (2004). Pension Reform Act 2004: What Is in It for You? http://www.newageonline.com/
- Ahmat, K., Aykut, K., & Huseyin, D. (2013). Improvement of Private Pension in Turkey and Measurement of Its Efficiency with Data Envelopment Analysis. Journal of Economics and Finance, 5, 163-173. https://doi.org/10.5539/ijef.v5n11p163
- Aigner, D. J., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6, 21-37. https://doi.org/10.1016/0304-4076(77)90052-5
- Barrientos, A., & Boussofiane, A. (2005). How Efficient Are Pension Fund Managers in Chile? Revista de Economia Contempornea, 9, 289-311. https://doi.org/10.1590/S1415-98482005000200003
- Barros, C. P., & Garcia, M. T. M. (2006). Performance Evaluation of Pension Funds Management Companies’ Data Envelopment Analysis. Risk Management and Insurance Review, 9, 165-188. https://doi.org/10.1111/j.1540-6296.2006.00092.x
- Barros, C. P., & Garcia, M. T. M. (2007). Analysing the Performance of the Pension Fund Industry with Stochastic Frontier Model: A Case Study of Portugal. The Geneva Papers on Risk and Insurance—Issues and Practice, 32, 190-210. https://doi.org/10.1057/palgrave.gpp.2510126
- Barros, C. P., Ferro, G., & Romero, C. (2008). Technical Efficiency and Heterogeneity of Argentina Pension Funds. Department of Economics Working Paper 29/2008/DE/UECE, Lisbon: Technical University of Lisbon.
- Battese, G. E., & Coelli, T. J. (1988). Prediction of Firm-Level Technical Efficiencies with a Generalised Frontier Production Function and Panel Data. Journal of Econometrics, 38, 387-399. https://doi.org/10.1016/0304-4076(88)90053-X
- Battese, G. E., & Corra, G. S. (1977). Estimation of a Production Frontier Model: With Application to the Pastoral Zone of Eastern Australia. Australian Journal of Agricultural Economics, 21, 169-179. https://doi.org/10.1111/j.1467-8489.1977.tb00204.x
- Braberman, D. G., Chisari, L., Quesada, L., & Rossi, A. M. (1999). Performance of Argentina Pension Fund Management Institutions. Revista de Analisis Economico, 14, 121-142.
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision-Making Units. European Journal of Operational Research, 2, 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
- Coelli, T. J. (1996). A Guide to Frontier Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation. Centre for Efficiency and Productivity Analysis Working Paper No. 7/96, Armidale: University of New England.