Comparative Study on the Efficiency of Bangladeshi Conventional and Islamic Life Insurance Industry: A Non-Parametric Approach

Authors

  • Md. Azizur Rahman International Islamic University Chittagong

DOI:

https://doi.org/10.18034/abr.v3i2.91

Keywords:

Data Envelopment Analysis (DEA), Takaful, Malmquist Index, Efficiency, Technical Efficiency, Scale Efficiency, Pure Efficiency

Abstract

This study endeavor is to examine the efficiency in the both life insurance and life Takaful industry of Bangladesh. The study used Data Envelopment Analysis (DEA) to explore the contributions of technical and efficiency changes to the growth of productivity in the life insurance industries of Bangladesh by using descriptive statistics such as mean, median, standard deviation, minimum & maximum and efficiency concerning the generalized output-oriented Malmquist index for the years 2009-2011. The output-input data consists of a panel of 13 Life Insurance and Takaful Life companies (10 life insurance and 03 Takaful life) in Bangladesh. This study utilizes two inputs and two outputs, namely, commission and management as well as premium and net investment income, respectively. In the DEA technique, efficiency is measured by the Malmquist index. The Malmquist efficiency measures have two components: the efficiency change and technical change index. Efficiency change is again combined by pure efficiency and scale efficiency. It is found that, on geometric mean, the TFP of the Conventional life industry is better than Takaful life mainly due to both efficiency and technical changes where the main source of the efficiency change is scale efficiency rather than pure efficiency. Finding of this study indicates that Conventional and Takaful life industry of Bangladesh, the smaller the size of the companies, the higher the probability for the companies to be more efficient in utilizing their inputs to generate more outputs. This work will beneficial for researchers as well as practitioners to better understand the Bangladeshi life insurance industry.

JEL Classification Codes: C14, C67, D57, G22

Downloads

Download data is not yet available.

Author Biography

Md. Azizur Rahman, International Islamic University Chittagong

Faculty in Finance, Department of Business Administration, International Islamic University Chittagong, Bangladesh

References

Abidin Z. & Cabanda E.,(2011), efficiency of non-life insurance in indonesia, Journal of Economics, Business and Accountancy Ventura,14(3), 197 – 202.

AFZA T. & Jam-e-Kausar, (2010), Efficiency of the Insurance Industry in Pakistan: An Application of Non-parametric Approach, interdisciplinary journal of contemporary research in business, 2 (8), 84-98.

Afza T. & Jam-e-Kausar, (2010), Firm size and efficiency in the non-life insurers of Pakistan, Journal of Quality and Technology Mgt Forthcomming .

Ali, M. M. K.,(2000), Provision of micro-insurance for microfinance clients. Microfinance Newsletter, 7, 2-5.

Barros,C.P.; Barroso, N. and Borges, M.R., (2005). Evaluating the Efficiency and Productivity of Insurance Companies with a Malmquist Index: A Case Study for Portugal. Geneva Papers on Insurance, 30, 244-267.

Barros, P., Obijiaku, E. L., (2007). Technical Efficiency of Nigerian Insurance Companies. Department of Economics, Institute for Economics and Business Administration (ISEG), Technical University of Lisbon. WP No. 18.

Berger, A.N, Hunter, W.C., & Timme, S.G., (1993). The efficiency of financial institutions: A review and preview of research past, present and future. Journal of Banking and Finance, 17(2&3), 221-250.

Berger, A. N., Humphrey, D. B., (1997). Efficiency of Financial Institutions: International Survey and Directions for Future Research. European Journal of Operational Research 98 (2), 175–212.

Coelli, T. J., (1996a). A Guide to Deap Version 2.1: A Data Envelopment Analysis (Computer) Program, Working Paper No. 8/96, Department of Econometrics, University of New England.

Cummins, J. D., Turchetti, G., Weiss, M. A., (1996). Productivity and Technical Efficiency Italian Insurance Industry. Working Paper, Wharton Financial Institutions Center, University of Pennsylvania, PA.

Cummins, J. D., Zi, H., (1998). Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry. Journal of Productivity Analysis 10 (2), 131–152.

Cummins, J. D., Weiss, M. A., Zi, H., (1999). Organizational Form and Efficiency: The Coexistence of Stock and Mutual Property-Liability Insurers. Management Science 45 (9), 1254–1269.

Cummins, J. D. and Rubio-Misas, M. (2001). Deregulation, consolidation, and efficiency: evidence from the spanish industry, Working Paper Series, The Wharton School, University of Pennsylvania.

Cummins, J.D. and Weiss, M.A., (2002). “Analysing Firm Performance in the Insurance Industry, using Frontier efficiency Methods”. In Dionne, G. (ed), Handbook of Insurance Economics. Kluwer, Boston, 767-829

Diacon, S. R., (2001). The Efficiency of UK General Insurance Companies. Working Paper, Centre for Risk & Insurance Studies, University of Nottingham.

Fare, R., Shawna, G., Bjorn, L., & Ross, P.(1989). Productivity development in Swedish hospitals: A Malmquist output index approach. Mimeo.

Fare, R., Shawna, G., Mary, N., & Zhongyang, Z.,(1994), Productivity growth, technical progress and efficiency change in industrialized countries. American Economic Review, 84, 66-83.

Forsund, F. 1991. The Malmquist productivity index. Paper presented at the 2nd European Workshop on Efficiency and Productivity Measurement. Berlgium: Centre of Operations Research & Econometrics, University Catholique de Louvain, Lauvain-la-Neuve.

Fukuyama, H., (1997). Investigating Productive Efficiency and Productivity Changes of Japanese Life Insurance Companies. Pacific-Basin Finance Journal 5 (4), 481– 509.

Jesmin et al (2013) “Measures of Efficiency in the Takaful Industry of Bangladesh- A Non Parametric Approach.” EJBM-Special Issue: Islamic Management and Business, 5 (11), 163-173.

Kessner, K., Polborn, M., (1999). Eine Effizienzanalyse der deutschen Lebensversicherer—die Best Practice Methode. Zeitschrift für die gesamte Versicherungswissenschaft 88, 469–488.

Leong, W.H., Dollery, B., & Coelli, T.,(2003), Measuring technical efficiency of banks in Singapore for the period 1993-1999: An application and extension of the Bauer et al.,1997 technique. ASEAN Economic Bulletin, 20(3), 195-210.

Mahlberg, B., Url, T., (2003). Effects of the Single Market on the Austrian Insurance Industry. Empirical Economics 28, 813–838.

Mahlberg, B and Url, T., (2010). Single Market effects on productivity in the German insurance industry, Journal of Banking & Finance Vol. 34, No. 7, 1540–1548.

Mansor, S. A., Radam, A., (2000). Productivity and Efficiency Performance of the Malaysian Life Insurance Industry. Jurnal Ekonomi Malaysia 34, 93–105.

Meador, J. W., Ryan, Jr., H. E., Schellhorn, C. D., (2000). Product Focus Versus Diversification: Estimates of X-Efficiency for the US Life Insurance Industry. Working Paper, Wharton Financial Institutions Center University of Pennsylvania.

Neal, P., (2004),. X-efficiency and productivity change in Australian banking. Australian Economic Papers, 13(2), 174-191.

Noulas, A. G., Hatzigayios, T., Lazaridis, J., Lyroudi, K., (2001), Non-Parametric Production Frontier Approach to the Study of Efficiency of Non-Life Insurance Companies in Greece. Journal of Financial Management and Analysis 14 (1), 19–26.

Rees, R., & Kessner, E., (2000), Regulation and efficiency in European insurance markets. Economic Policy, 29, Centre for Economic Policy Research, London.

Saad M., N., Abd. Majid, M.S., Mohd. Yusof, R., Duasa, J., & Abdul Rahman, A.R., (2007). Measuring efficiency of insurance and takaful companies in Malaysia using data envelopment analysis (DEA). Review of Islamic Economics, 11(1), 5-26.

Saad M., (2012), An Analysis on the efficiency of TAKAFUL and insurances companies in MALAYSIA: A Non-Parametricc Approach, Review of Interdisciplinary Business Research, 1 (1), 33-56.

Sabbir, P. (2002). Takaful and poverty alleviation, www.icmif.org/takaful

Saeidy & Kazentipour, (2011), Compare the Performance Public and Private Insurance Companies in Using Data Envelopment Analysis, World Applied Sciences Journal, 13(3), 988-992.

Tone, K., Sahoo, B. K., (2005). Evaluating Cost Efficiency and Returns to Scale in the Life Insurance Corporation of India Using Data Envelopment Analysis. Socio-Economic Planning Sciences 39 (4), 261–285.

Weiss, M. A., (1991a). Efficiency in the Property-Liability Insurance Industry. Journal of Risk and Insurance 58 (3), 452–479.

Worthington, A. C., Hurley, E. V., (2002). Cost Efficiency in Australian General Insurers:A Non-Parametric Approach. The British Accounting Review 34 (2), 89–108.

Wu, D., Yang, Z., Vela, S., Liang, L.,(2007). Simultaneous Analysis of Production and Investment Performance of Canadian Life and Health Insurance Companies Using Data Envelopment Analysis. Computers & Operations Research 34 (1), 180–198.

--0--

Downloads

Published

2013-12-31

How to Cite

Rahman, M. A. (2013). Comparative Study on the Efficiency of Bangladeshi Conventional and Islamic Life Insurance Industry: A Non-Parametric Approach. Asian Business Review, 3(2), 80–91. https://doi.org/10.18034/abr.v3i2.91