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The Effect of Branch Office Locations on Technical Efficiency: Evidence from the Indian Life Insurance Industry

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  • Shoaib Alam Siddiqui

Abstract

The purpose of this article is to investigate the efficiency and productivity growth of Indian life insurance industry and to assess the effect of branch office locations on efficiency. This study has analysed the efficiency and productivity performance of all the 24 life insurance companies during the period from 2016 to 2019, using slack-based measures (SBM) of data envelopment analysis. SBM super-efficiency model is used to rank the fully efficient life insurers. Malmquist index is used to assess the productivity of life insurance companies. To assess the effect of branch office geographical locations on efficiency, double bootstrap regression has been used. The findings indicate that Indian life insurance industry experienced significant fluctuations in mean technical efficiency during the study period. Almost 50% of life insurers operated efficiently in one or more years during the study period. Only 3 out of 24 life insurers were found scale efficient. Interestingly, 50% of life insurers experienced growth during our study period. Double bootstrap regression analysis indicates that semi-urban and rural branch offices have positive effect on the efficiency of the life insurers. This study is first of its kind that has assessed the effect of branch office locations on the efficiency of life insurers. The study brings to light the operating characteristics, efficiencies and productivity of the Indian life insurance companies for the period from 2016 to 2019.

Suggested Citation

  • Shoaib Alam Siddiqui, 2024. "The Effect of Branch Office Locations on Technical Efficiency: Evidence from the Indian Life Insurance Industry," Global Business Review, International Management Institute, vol. 25(6), pages 1559-1575, December.
    • Handle: RePEc:sae:globus:v:25:y:2024:i:6:p:1559-1575
    DOI: 10.1177/09721509211027427
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    1. Cummins, J. David & Rubio-Misas, Maria, 2006. "Deregulation, Consolidation, and Efficiency: Evidence from the Spanish Insurance Industry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 323-355, March.
    2. Brockett, Patrick L. & Cooper, William W. & Golden, Linda L. & Rousseau, John J. & Wang, Yuying, 2004. "Evaluating solvency versus efficiency performance and different forms of organization and marketing in US property--liability insurance companies," European Journal of Operational Research, Elsevier, vol. 154(2), pages 492-514, April.
    3. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    4. Cummins, J. David & Danzon, Patricia M., 1997. "Price, Financial Quality, and Capital Flows in Insurance Markets," Journal of Financial Intermediation, Elsevier, vol. 6(1), pages 3-38, January.
    5. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.
    6. Patrick L. Brockett & William W. Cooper & Linda L. Golden & John J. Rousseau & Yuying Wang, 2005. "Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(3), pages 393-412, September.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    9. Berger, Allen N. & Cummins, J. David & Weiss, Mary A. & Zi, Hongmin, 2000. "Conglomeration versus Strategic Focus: Evidence from the Insurance Industry," Journal of Financial Intermediation, Elsevier, vol. 9(4), pages 323-362, October.
    10. Biener, Christian & Eling, Martin, 2012. "Organization and efficiency in the international insurance industry: A cross-frontier analysis," European Journal of Operational Research, Elsevier, vol. 221(2), pages 454-468.
    11. Cummins, J. David & Xie, Xiaoying, 2008. "Mergers and acquisitions in the US property-liability insurance industry: Productivity and efficiency effects," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 30-55, January.
    12. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    13. Schaper, Philipp, 2017. "Under pressure: how the business environment affects productivity and efficiency of European life insurance companiesAuthor-Name: Eling, Martin," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1082-1094.
    14. Cummins, J. David & Weiss, Mary A. & Xie, Xiaoying & Zi, Hongmin, 2010. "Economies of scope in financial services: A DEA efficiency analysis of the US insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1525-1539, July.
    15. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    16. J. David Cummins & Giuseppe Turchetti, 1996. "Productivity and Technical Efficiency in the Italian Insurance Industry," Center for Financial Institutions Working Papers 96-10, Wharton School Center for Financial Institutions, University of Pennsylvania.
    17. Ram Pratap Sinha, 2015. "A Dynamic DEA Model for Indian Life Insurance Companies," Global Business Review, International Management Institute, vol. 16(2), pages 258-269, April.
    18. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    19. J. David Cummins & Mary A. Weiss & Hongmin Zi, 1999. "Organizational Form and Efficiency: The Coexistence of Stock and Mutual Property-Liability Insurers," Management Science, INFORMS, vol. 45(9), pages 1254-1269, September.
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