Sains Malaysiana 43(9)(2014): 1439–1450

 

Two-Stage DEA Method in Identifying the Exogenous Factors of Insurers’ Risk

and Investment Management Efficiency

(Kaedah DEA Dua-Peringkat dalam Mengenal Pasti Faktor Luaran Terhadap Kecekapan

Pengurusan Risiko dan Pelaburan Penanggung Insurans)

 

RUBAYAH YAKOB1*, ZULKORNAIN YUSOP2, ALIAS RADAM2 & NORISZURA ISMAIL3

 

1School of Management, Faculty of Economics and Management

Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

 

2Faculty of Economics and Management, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

 

3Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

 

Received: 25 September 2013/Accepted: 10 January 2014

 

ABSTRACT

The objective of this study was to identify the exogenous variables of risk and investment management efficiency by using a two-stage data envelopment analysis (DEA) method. The first stage involves obtaining the efficiency scores of risk and investment management via DEA that requires only the traditional inputs and outputs. In the second stage, the Tobit regression analysis is conducted in which the efficiency score obtained from the first stage is treated as a dependent variable, while the exogenous factors are considered to be independent variables. The exogenous factors consist of operating systems, organizational form, consumer preference and size. The results showed that the mutual company as well as the takaful system demonstrate better risk management performance than their stock and conventional system counterparts. In addition, size is also a significant indicator for risk management efficiency in which the larger insurer/takaful operator exhibits better risk management performance than the smaller one. However, consumer preference is found to be insignificantly correlated with the efficiency of risk management. In contrast, with risk management, organizational form, operating system and size are not indicators of the investment management efficiency, but consumer preference is significantly and positively associated with investment management efficiency.

 

Keywords: Efficiency; exogenous factors; risk and investment management; two-stage DEA

 

ABSTRAK

Objektif kajian ini adalah untuk mengenal pasti pemboleh ubah luaran terhadap kecekapan pengurusan risiko dan pelaburan dengan menggunakan kaedah analisis penyampulan data (DEA) dua-peringkat. Peringkat pertama melibatkan perolehan skor kecekapan pengurusan risiko dan pelaburan melalui DEA yang hanya memerlukan input dan output tradisi. Pada peringkat kedua, analisis regresi Tobit dijalankan dengan skor kecekapan yang diperoleh dari peringkat pertama dilayan sebagai pemboleh ubah bersandar, manakala faktor luaran dipertimbangkan sebagai pemboleh ubah bebas. Faktor luaran terdiri daripada sistem operasi, bentuk organisasi, keutamaan pengguna dan saiz. Keputusan menunjukkan bahawa syarikat bersama, begitu juga sistem takaful mempunyai prestasi pengurusan risiko yang lebih baik berbanding rakan-rakan syarikat stok dan sistem konvensional mereka. Di samping itu, saiz juga merupakan penunjuk yang signifikan bagi kecekapan pengurusan risiko syarikat insurans/pengendali takaful yang lebih besar mempamerkan prestasi pengurusan risiko yang lebih baik daripada syarikat yang lebih kecil. Walau bagaimanapun, keutamaan pengguna didapati tidak berkorelasi secara signifikan dengan kecekapan pengurusan risiko. Berbeza dengan pengurusan risiko, bentuk organisasi, sistem operasi dan saiz bukan merupakan penunjuk kepada kecekapan pengurusan pelaburan, tetapi keutamaan pengguna mempunyai hubungan yang signifikan dan positif dengan kecekapan pengurusan pelaburan.

 

Kata kunci: APD dua-peringkat; faktor luaran; kecekapan; pengurusan risiko dan pelaburan

REFERENCES

Abdul Kader, H., Adams, M. & Hardwick, P. 2010. The cost efficiency of takaful insurance companies. The Geneva Papers on Risk and Insurance-Issues and Practice 35: 161-181.

            Adams, M. 1996. Investment earnings and the characteristics of life insurance firms: New Zealand evidence. Australian Journal of Management 21: 41-55.

Ali, Kasi Md. Mortuza, 1989. Principles and practices of insurance under Islamic framework. Insurance Journal: 29-38.

Aly, H.Y., Grabowsky, R., Pasurka, C. & Rangan, N. 1990. Technical, scale and allocative efficiencies in US banking: An empirical investigation. Review of Economics and Statistics 72: 211-218.

Attiea, M., Rao, A. & Kashani, H. 2009. Cost efficiency and value driver analysis of insurers in an emerging economy. Managerial and Decision Economics 30: 265-280.

Banker, R.D. & Natarajan, R. 2008. Evaluating contextual variables affecting productivity using data envelopment analysis. Operations Research 56: 48-58.

Banker, R.D. & Morey, R.C. 1986. Efficiency analysis for exogenously fixed inputs and outputs. Operations Research 34: 513-521.

Berger, A.N. & Humphrey, D.B. 1997. Efficiency of financial institutions: International survey and direction for future research. European Journal of Operational Research 9: 175-212.

Bjurek, H., Kjulin, U. & Gustafsson, B. 1992. Efficiency, productivity and determinants of inefficiency at public day care centers in Sweden. Scandinavian Journal of Economics 94: 173-187.

Black, K. Jr. & Skipper, H. D. Jr. 2000. Life & Health Insurance. New Jersey: Prentice Hall, Inc.

Brockett, P.L., Cooper, W.W., Golden, L.L., Rousseau, J.J. & Wang, Y. 2005. Financial intermediary versus production approach to efficiency of marketing distribution systems and organizational structure of insurance companies. The Journal of Risk and Insurance 72: 393-412.

Brockett, P.L., Cooper, W.W., Golden, L.L., Rousseau, J.J. & Wang, Y. 2004. Evaluating solvency versus efficiency performance and different forms of organization and marketing in US property-liability insurance companies. European Journal of Operation Research 154: 492-514.

Carr, R.M. 1997. Strategic Choices, Firm Efficiency and Competitiveness in the US Life Insurance Industry. PhD Dissertation, University of Pennsylvania (unpublished).

Carr, R.M., Cummins, J.D. & Regan, L. 1999. Efficiency and competitiveness in the US life insurance industry: Corporate, product and distribution strategies. In Changes in The Life Insurance Industry: Efficiency, Technology and Risk Management, edited by Cummins, J.D. & Santomero, A.M. Boston: Kluwer Academy Publishers. pp. 117-157.

Charnes, A., Cooper, W.W. & Rhodes, E. 1978. Measuring the efficiency of decision making units. European Journal of Operational Research 2: 429-444.

Charnes, A., Cooper, W.W. & Rhodes, E. 1981. Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through. Management Science 27: 668-697.

Chilingerian, J.A. 1995. Evaluating physician efficiency in hospitals: A multivariate analysis of best practices. European Journal of Operational Research 80: 548-574.

Coelli, T.J., Rao, P., O’Donnell, C.J. & Battese, G.E. 2005. An Introduction to Efficiency and Productivity Analysis. US: Springer Science+Business Media, LLC.

Cooper, W.W., Seiford, L.M. & Tone, K. 2007. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. US: Springer Science+Business Media LLC.

Cummins, J.D. 1999. Efficiency in the US life insurance industry: Are insurers minimizing costs and maximizing revenues? In Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management, edited by Cummins, J.D. & Santomero, A.M. Boston: Kluwer Academy Publishers. pp. 75-115.

Cummins, J.D. & Weiss, M.A. 2004. Consolidation in the European Insurance Industry: Do Mergers and Acquisitions Create Value for Shareholders? Working Paper. The Wharton Financial Institution Centre, University of Pennsylvania.

Cummins, J.D. & Weiss, M.A. 2000. Analyzing firm performance in the insurance industry using frontier efficiency methods. In Handbook of Insurance, edited by Dionne, G. Boston: Kluwer Academic Publishers. pp. 767-829.

Cummins, J.D. & Zi, H. 1997. Measuring Cost Efficiency in the US Life Insurance Industry: Econometric and Mathematical Programming Approaches. Working Paper, The Wharton Financial Institution Centre, University of Pennsylvania.

Cummins, J.D., Dionne, G., Gagne, R. & Nouira, A. 2009. Efficiency of insurance firms with endogenous risk management and financial intermediation activities. Journal of Productivity Analysis 32: 145-159.

Diacon, S., Starkey, K., O’Brien, C.O. & Odindo, C. 2002. The Most Successful Insurers in the UK Long-term Market. Discussion Paper, Centre for Risk & Insurance Studies, The University of Nottingham.

Eckles, D.L. 2003. Economic Theory and Financial Issues in Insurance Markets. PhD Dissertation. University of Pensylvania (unpublished).

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

Ferrier, G.D. & Lovell, C.A.K. 1990. Measuring cost efficiency in banking: Econometric and linear programming evidence. Journal of Econometrics 46: 229-245.

Fried, H.O., Schidmt, S.S. & Yaisawarng, S. 1999. Incorporating the operating environment into a nonparaetric measure of technical efficiency. Journal of Productivity Analysis 12: 249-267.

Fukuyama, H. 1997. Investing productive efficiency and productivity changes of Japanese life insurance companies. Pacific-Basin Finance Journal 5: 481-509.

Gardner, L. & Grace, M. 1993. X-efficiency in the U.S. life insurance industry. Journal of Banking and Finance 17: 497-510.

Gera, S. 2003. Innovative Business Strategies and Firm Performance in the New Economy. Asia-Pacific Economic Cooperation, APEC Secretariat: Singapore.

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

Greene, W. 2003. Econometric Analysis. New Jersey: Prentice Hall Inc.

Gujarati, D. 2011. Econometrics by Examples. UK: Palgrave McMillan.

Hansmann, H. 1985. The organization of insurance companies: Mutual versus stock. Journal of Law, Economics & Organization 1: 125-153.

Hao, J.C. 2008. Measuring cost efficiency in the Taiwan Life insurance industry. International Journal of Management 25: 279-286.

Hao, J.C. 2007. Efficiency test on Taiwan’s life insurance industry-using X-efficiency approach. Information and Management Sciences 18: 37-48.

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

Hoff, A. 2007. Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research 181: 425-435.

Hussels, S. & Ward, D.R. 2007. The Impact of Deregulation on the German and UK Life Insurance Markets: An Analysis of Efficiency and Productivity Between 1991 and 2002. Working Paper, Cranfield Management Research Paper Series, Cranfield University.

Khaled, M., Adams, M.B. & Pickford, M. 2001. Estimates of scale and scope economies in the New Zealand life insurance industry. The Manchester School 69: 327-349.

Klumpes, P.J.M. 2007. Consolidations and Efficiency in the Major European Insurance Markets. Working Paper, Imperial College.

Kwon, W.J. 2007. Islamic principle and takaful insurance: Re-evaluation. Journal of Insurance Regulation 26: 53-81.

Lee, H.L. 1997. The Insurance Industry in Malaysia. Kuala Lumpur: Oxford University Press.

Mayers, D. & Smith Jr., C.W. 1981. Contractual provisions, organizational structure and conflict control in insurance markets. Journal of Business 54: 407-434.

McDonald, J. 2009. Using least squares and Tobit in second stage DEA efficiency analyses. European Journal of Operational Research 197: 792-798.

McDonald, J.F. & Moffitt, R.A. 1980. The uses of Tobit analysis. The Review of Economics and Statistics 62: 318-321.

Meador, J.W., Ryan, Jr. H.E. & Schellhorn, C.D. 1997. Product Focus versus Diversification: Estimates of X-Efficiency for the US Life Insurance Industry. Working Paper. The Wharton Financial Institution Centre, University of Pennsylvania.

Oum, T.H. & Yu, C. 1994. Economic efficiency of railways and implications of public policy: A comparative study of the OECD countries’ railways. Journal of Transport Economics and Policy 28: 121-138.

Pasiouras, F. 2008. International evidence on the impact of regulations and supervision on bank’s technical efficiency: An application of two-stage data envelopment analysis. Review Quantitative Finance and Accounting 30: 187-223.

Ruggiero, J. & Vitaliano, D.F. 1999. Assessing the efficiency of public schools using data envelopment analysis and frontier regression. Contemporary Economic Policy 17: 321-331.

Smith, B. & Stutzer, M. 1990. Adverse selection, aggregate uncertainty and the role of mutual insurance contracts. Journal of Business 63: 493-511.

Spiller, R. 1972. Ownership and performance stock and mutual life insurance companies. The Journal of Risk and Insurance 39: 17-25.

Tobin, J. 1958. Estimation of relationships for limited dependent variables. Econometrica 26: 24-36.

Tone, Kaoru. 2001. Theory and methodology: A slack-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130: 498-509.

Wooldridge, J.M. 2002. Econometric Analysis with Cross Section and Panel Data. Cambridge: MIT Press.

Yao, S., Han, Z. & Feng, G. 2007. On technical efficiency of china’s insurance industry after WTO accession. China Economic Review 18: 66-86.

Yuengert, A.M. 1993. The measurement of efficiency in life insurance: Estimates of a mixed normal-gamma error model. Journal of Banking and Finance 17: 483-496.

Zurich Financial Services. 2007. Investment management - A creator of value in an insurance company (November). pp. 1-15.

 

 

*Corresponding author; email: rubayah@ukm.edu.my

 

 

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