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Life Insurance in India: Efficiency and Profitability

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The Life Insurance Industry in India

Abstract

In this chapter, an attempt is made to find out the important factors determining profitability of life insurance companies in India and examine the role of efficiency discussed in the previous chapter. Towards this objective, panel data models are employed to examine the efficiency–profitability relationship. The model employs return on assets as the dependent variable, which is a proxy for profitability of the life insurers and a set of independent variables, including two industry-specific factors like Herfindahl–Hirschman Index (HHI)/CR5 and PE/pure technical efficiency (PTE), three firm-specific variables like ‘size’, ‘leverage’ and ‘risk’ and two macroeconomic factors like ‘GDP and inflation’. The data set includes a panel of 13 life insurance companies for the period 2002–2003 to 2014–2015. The panel regression is estimated by both the fixed-effects and random-effects models to find the determinants of profitability. However, Hausman’s specification test recommends fixed-effects model to be the appropriate model. The results of fixedeffects model suggest that leverage and size of the firm and two macrovariables, GDP and inflation, are significant determinants of profitability, whereas ‘underwriting risk’, market structure (HHI/CR5) and efficiency (TE/PTE) are not significant determinants of profitability.

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Notes

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    IRDAI Annual Report 2012–2013, page no. 27.

References

  • Acharya, D. (2012), “Competition in Insurance Sector: Issues and Evidences”, UGC Major Research Project Report, UGC New Delhi, India.

    Google Scholar 

  • Ahmed, N., Ahmed, Z., and Usman, A. (2011), “Determinants of Performance: A Case of Life Insurance Sector of Pakistan”, International Research Journal of Finance and Economics, Vol. 128, Issue 61, 123–128, 2011.

    Google Scholar 

  • Akotey, J. O., Sackey, F. G., Amoah, L., and Manso, R. F. (2013), “The Financial Performance of Life Insurance Companies in Ghana”, The Journal of Risk Finance, Vol. 14, Issue 3, pp. 286–302.

    Article  Google Scholar 

  • Alhassan, A. L., Addisson, G. K. and Asamoah, M. E. (2015), “Market Structure, Efficiency and Profitability of Insurance Companies in Ghana”, International Journal of Emerging Markets, (2015) Vol. 10, Issue 4, pp. 648–669.

    Article  Google Scholar 

  • Al-Shami, and Hamdan, A. A. (2008), “Determinants of Insurance Companies Profitability in UAE”, Master’s Thesis, Universiti Utara Malaysia. http://ep3.uum.edu.my/256/

  • Bain, J. S. (1951), “Relation of Profit Rate to Industry Concentration: American Manufacturing, 1936–1940”, The Quarterly Journal of Economics, Vol. 65, No. 3 (Aug. 1951), pp. 293–324.

    Article  Google Scholar 

  • Baltagi, B. H. (2013), Econometric Analysis of Panel Data, 5th Edition, Wiley, Chichester, UK.

    Google Scholar 

  • Banker, R. D., Charnes, A., and Cooper, W. W. (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, Vol. 30, Issue 9, pp. 1078–1092.

    Article  Google Scholar 

  • Beck, N., and Katz, J. N. (1995), “What to do (and not to do) with Time-Series Cross-Section Data”, The American Political Science Review, Vol. 89, No. 3 (Sep. 1995), pp. 634–647.

    Article  Google Scholar 

  • Berger, A. N. (1995), “The Profit-Structure Relationship in Banking – Tests of Market-Power and Efficient Structure Hypotheses”, Journal of Money, Credit, and Banking, Vol. 27, pp. 404–431.

    Article  Google Scholar 

  • Berger, A. N., and Hannan, T. H. (1997), “Using Measures of Firm Efficiency to Distinguish among Alternative Explanations of the Structure-Performance Relationships in Banking”, Managerial Finance, Vol. 23, pp. 6–31.

    Article  Google Scholar 

  • Berger, A. N., and Hannan, T. H. (1998), “The Efficiency Cost of Market Power in the Banking Industry: A Test of the ‘Quiet Life’ and Related Hypotheses”, The Review of Economics and Statistics, Vol. 80, No. 3 (Aug. 1998), pp. 454–465.

    Article  Google Scholar 

  • Charnes, A., Cooper, W. W., and Rhodes, E. (1978), “Measuring the Efficiency of Decision Making Units”, European Journal of Operational Research, Vol. 2, Issue 6 (November 1978), pp. 429–444.

    Article  Google Scholar 

  • Charumathi, B. (2012), “On the Determinants of Profitability of Indian Life Insurers – An Empirical Study”, Proceedings of the World Congress on Engineering 2012, Vol I, London, U.K.

    Google Scholar 

  • Greene, W. H., & Segal, D. (2004), “Profitability and efficiency in the US Life Insurance Industry”, Journal of Productivity Analysis, 21, 3, 229–247.

    Article  Google Scholar 

  • Hausman, J. A. (1978), Specification Tests in Econometrics, Econometrica, Vol. 46, Issue 6, pp. 1251–1271.

    Article  Google Scholar 

  • Hicks, J. (1935), “The Theory of Monopoly”, Econometrica, Vol. 3, pp. 1–20.

    Article  Google Scholar 

  • IRDAI. (2015), “Annual Report of (IRDAI)”, 2015 Available: www.IRDAIindia.org.

  • Javaria, B., Khan, S., and Amjad, T. S. (2013), “Determinants of Profitability Panel Data Evidence from Insurance Sector of Pakistan”, Elixir Financial Management, Vol. 57A, Issue 2013, pp. 14377–14382.

    Google Scholar 

  • Leibenstein, H. (1966), “Allocative Efficiency vs. X-Efficiency”, The American Economic Review, Vol. 56, No. 3, pp. 392–415.

    Google Scholar 

  • Mok, V., Yeung, G., Han, Z., and Li, Z. (2007), “Leverage, Technical Efficiency and Profitability: An Application of DEA to Foreign-invested Toy Manufacturing Firms in China”, Journal of Contemporary China, Vol. 16, Issue 51, pp. 259–274.

    Article  Google Scholar 

  • Parida, T. K., and Acharya, D. (2016), “Competition in Indian Life Insurance Industry: Post Liberalisation Evidence”, International Journal of Business Competition and Growth, Vol. 5, Nos. 1/2/3, 2016.

    Google Scholar 

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Parida, T.K., Acharya, D. (2017). Life Insurance in India: Efficiency and Profitability. In: The Life Insurance Industry in India. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-10-2233-3_3

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  • DOI: https://doi.org/10.1007/978-981-10-2233-3_3

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  • Publisher Name: Palgrave Macmillan, Singapore

  • Print ISBN: 978-981-10-2232-6

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