Determinants of Cost Efficiency of Takaful and Conventional Insurance Firms of Pakistan

Authors

  • Muhammad Abbas Assistant Professor, Department of Business Administration, Air University, Multan Campus, Pakistan
  • Allah Bakhsh Khan Assistant Professor, Department of Commerce, Bahauddin Zakariya University, Multan, Pakistan
  • Salman Abbas Research Scholar, Air University, Multan Campus, Pakistan
  • Zeeshan Mahmood Assistant Professor, Department of Commerce, Bahauddin Zakariya University, Multan, Pakistan.

DOI:

https://doi.org/10.26710/reads.v4i2.418

Keywords:

Takaful, Insurance, Cost Efficiency, Tobit Regression, DEA

Abstract

This study investigates the Efficiency Performance of Takaful and Conventional Insurance Firms of Pakistan in terms of Cost, Allocative and Technical efficiencies for the period of 2010-2015. Six years panel data of Takaful and listed Conventional Insurance Firms of Pakistan is taken under consideration. The Methodology of Data Envelopment Analysis (DEA) is used in order to estimate efficiencies scores. Furthermore, Tobit Regression Analysis is carried out for determination of the real contributors of efficiencies in Insurance and takaful Industry of Pakistan. In Data Envelopment Analysis, Labor, Total Fixed Assets and Total Equity Capital are used as input variables. Simultaneously, the price variables are used along with input variables such as Price of Labor, Price of Total Fixed Assets and Price of Total Equity Capital. The output variables include Invested Assets, Investment Incomes and Net Premiums. In second Stage Analysis (i.e. Tobit regression), DEA efficiency scores are used as dependent variable, whereas Age, Size, and Leverage are used as independent variables along with the dummy for conventional and Takaful firms of Pakistan. This study found that Takaful and insurance firms have been operating on almost equal efficiency levels. Furthermore LEVERAGE is the main contributor for efficiency optimization, followed by the firm SIZE, whereas, firm’s AGE has no contribution in efficiency scores.

References

Abd Karim, M. Z. (2005). Cost efficiency and profitability in Thailand's life insurance industry: a stochastic cost frontier approach. International journal of applied econometrics and quantitative studies, 2, 19-36.

Akhter, W., Raza, A., &Akram, M. (2011). Efficiency and performance of Islamic Banking: The case of Pakistan. Far East Journal of Psychology and Business, 2(2), 54-71.

Amel, D., Barnes, C., Panetta, F., &Salleo, C. (2004). Consolidation and efficiency in the financial sector: A review of the international evidence. Journal of Banking & Finance, 28(10), 2493-2519.

Amemiya, T. (1984). Tobit models: A survey. Journal of econometrics, 24(1-2), 3-61.

Antonio, M. S., Ali, M. M., & Akbar, N. (2013). A Comparative Analysis of the Efficiency of Takaful and Conventional Insurance in Malaysia. International Journal of Excellence in Islamic Banking and Finance, 3(1), 1-13.

Asghar, A., e Kausar, M. J., &Afza, T. (2010). Efficiency of the Insurance Industry in Pakistan: An Application of Non-Parametric Approach. INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS, DECEMBER 2010 VOL-2, NO-8.

Asteriou, D., & Hall, S. G. (2007). Applied Econometrics: a modern approach, revised edition. Hampshire: Palgrave Macmillan.

Banker, R. D., Charnes, A. and Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.

Campbell, D., & Campbell, S. (2008, October). Introduction to regression and data analysis. In Stat Lab Workshop.

Charnes, A., Cooper, W. W. and Rhodes, E. (1978). Measuring Efficiency of Decision Making Units. Journal of Operational Research, 2, 429-444.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.

Cooper, W. W., &Seiford, L. M. Tone., K.(2007). Data Envelopment Analysis A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Springer, ISBN, 387452818, 490.

Cummins, J. D., &Rubio'Misas, M. (2006). sDeregulation, Consolidation, and Ef'ficiency: Evidence from the Spanish Insurance Industry, t. HAPRNM 0IMAMCIAK 2MQRI# RSRINMQ-EMREP.

Cummins, J. D., &Turchetti, G. (1996). Productivity and technical efficiency in the Italian insurance industry (No. 96-10). Wharton School Center for Financial Institutions, University of Pennsylvania.

Cummins, J. D., &Xie, X. (2008). Mergers and acquisitions in the US property-liability insurance industry: Productivity and efficiency effects. Journal of Banking & Finance, 32(1), 30-55.

Cummins, J. D., &Zi, H. (1997). Measuring cost efficiency in the US life insurance industry: Econometric and mathematical programming approaches. Financial Institutions Center, The Wharton School Working Paper, University of Pennsylvania.

Cummins, J. D., Tennyson, S., & Weiss, M. A. (1999). Consolidation and efficiency in the US life insurance industry. Journal of Banking & Finance, 23(2), 325-357.

Diacon, S. R., Starkey, K., & O'Brien, C. (2002). Size and efficiency in European long-term insurance companies: an international comparison. The Geneva Papers on Risk and Insurance. Issues and Practice, 27(3), 444-466.

Eling, M., &Luhnen, M. (2010). Efficiency in the international insurance industry: A cross-country comparison. Journal of Banking & Finance, 34(7), 1497-1509.

Ennsfellner, K. C., Lewis, D., & Anderson, R. I. (2004). Production efficiency in the Austrian insurance industry: a Bayesian examination. Journal of Risk and Insurance, 71(1), 135-159.

Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290.

Fenn, P., Vencappa, D., Diacon, S., Klumpes, P., & O’Brien, C. (2008). Market structure and the efficiency of European insurance companies: A stochastic frontier analysis. Journal of Banking & Finance, 32(1), 86-100.

Gardner, L. A., & Grace, M. F. (1993). X-efficiency in the US life insurance industry. Journal of Banking & Finance, 17(2-3), 497-510.

Greene, W. H., & Segal, D. (2004). Profitability and efficiency in the US life insurance industry. Journal of Productivity Analysis, 21(3), 229-247.

Hao, J. C., & Chou, L. Y. (2005). The estimation of efficiency for life insurance industry: The case in Taiwan. Journal of Asian Economics, 16(5), 847-860.

Hidayat, S. E., & Abdulla, A. M. (2015). A comparative analysis on the Financial performance between takaful and conventional insurance companies in Bahrain during 2006-2011. Journal of Islamic Economics, Banking and Finance, 11(2), 149-163.

Ilaboya, O. J., &Ohiokha, I. F. (2016). Firm Age, Size and Profitability Dynamics: A Test of Learning by Doing and Structural Inertia Hypotheses. Business and Management Research, 5(1), 29.

Ismail, N., Alhabshi, D. S. O., & Bacha, O. (2011). Organizational form and efficiency: the Coexistence of family takaful and life insurance in Malaysia. Journal of Global Business and Economics, 3(1), 122-137.

Jeng, V., Lai, G. C., & McNamara, M. J. (2007). Efficiency and demutualization: Evidence from the US life insurance industry in the 1980s and 1990s. Journal of Risk and Insurance, 74(3), 683-711.

Kader, H. A., Adams, M., & Hardwick, P. (2010). The cost efficiency of Takaful insurance companies. The Geneva Papers on Risk and Insurance Issues and Practice, 35(1), 161-181.

Khan, A., & Noreen, U. (2014). Efficiency measure of insurance v/s Takaful Firms using DEA approach: a case of Pakistan. Journal of International Islamic University: Islamabad, Islamic Economic Studies, 22(1), 139-158.

Mansor, S. A., &Radam, A. (2000). Productivity and efficiency performance of the Malaysian life insurance industry. JurnalEkonomi Malaysia, 34, 93-105.

Md Saad, N. (2012). An analysis on the efficiency of takaful and insurance companies in malaysia: a non-parametric approach. Review of Integrative Business & Economics Research, 1(1), 33-56.

Md Saad, N., Majid, A., Shabri, M., Mohd Yusof, R., Duasa, J., Rahman, A., & Rahim, A. (2006). Measuring efficiency of insurance and takaful companies in Malaysia using Data Envelopment Analysis (DEA). Review of Islamic Economics, 10(2), 5-26.

Ramanathan, R. (Ed.). (2003). An introduction to data envelopment analysis: a tool for performance measurement. Sage.

Raza, M. W. (2013). Affect of financial leverage on firm performance. Empirical evidence from Karachi Stock Exchange.

Vincová, K. (2005). Using DEA models to measure efficiency. Biatec, 13(8), 24-28.

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.

YAKOB, R., YUSOP, Z., RADAM, A., & ISMAIL, N. (2011). Risk management efficiency of conventional life insurers and Takaful operators. 30 November–3 December 2010 Kuala Lumpur, Malaysia, 830.

Yuengert, A. M. (1993). The measurement of efficiency in life insurance: estimates of a mixed normal-gamma error model. Journal of Banking & Finance, 17(2-3), 483-496.

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Published

2020-07-25

How to Cite

Muhammad Abbas, Allah Bakhsh Khan, Salman Abbas, & Zeeshan Mahmood. (2020). Determinants of Cost Efficiency of Takaful and Conventional Insurance Firms of Pakistan. Review of Economics and Development Studies, 4(2), 331-340. https://doi.org/10.26710/reads.v4i2.418