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Cost Efficiency and Convergence in the European Nonlife Insurance Industry

Author

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  • Dimitrios G. Giantsios
  • Athanasios G. Noulas

Abstract

The European authorities undertook a number of legislative initiatives in the last twenty five years in an effort to improve the integration of the financial sector in Europe. The Eurozone crisis that started at the end of 2009 brought a number of countries before bankruptcy and forced the European countries to implement various financial programs. This paper is an effort to see how the crisis affected the level of efficiency and the process of insurance integration in the European Union. It uses Stochastic Frontier Analysis to estimate cost efficiency for a sample of 947 nonlife insurance firms operating in 24 European countries for the period 2006-2014. In a second stage a two-step system Generalized Method of Moments (GMM) is used to examine cost efficiency convergence by looking at beta-convergence and sigma-convergence criteria. The results indicate that cost efficiency has declined over the period suggesting that the financial crisis negatively affected efficiency. The average cost efficiency over the whole period is found to be 86.7% with Denmark to be the most efficient nonlife European insurance market and Greece the worst. Evidence of beta convergence is found but not of sigma convergence. Â JEL classification numbers: G10, G22, G22.

Suggested Citation

  • Dimitrios G. Giantsios & Athanasios G. Noulas, 2020. "Cost Efficiency and Convergence in the European Nonlife Insurance Industry," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-6.
  • Handle: RePEc:spt:apfiba:v:10:y:2020:i:6:f:10_6_6
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    References listed on IDEAS

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    1. Weill, Laurent, 2009. "Convergence in banking efficiency across European countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 818-833, December.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    3. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    4. S R Diacon & K Starkey & C O'Brien, 2002. "Size and Efficiency in European Long–term Insurance Companies: An International Comparison," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 27(3), pages 444-466, July.
    5. Mahlberg, Bernhard & Url, Thomas, 2010. "Single Market effects on productivity in the German insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1540-1548, July.
    6. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2008. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1083-1093, August.
    7. Walid Bahloul & Abdelfettah Bouri, 2016. "The Efficiency of the European Non-Life Insurance: CEO Power, Macroeconomic, and Market Characteristics Impact," IJFS, MDPI, vol. 4(1), pages 1-13, March.
    8. Casu, Barbara & Girardone, Claudia, 2010. "Integration and efficiency convergence in EU banking markets," Omega, Elsevier, vol. 38(5), pages 260-267, October.
    9. Biener, Christian & Eling, Martin & Wirfs, Jan Hendrik, 2016. "The determinants of efficiency and productivity in the Swiss insurance industry," European Journal of Operational Research, Elsevier, vol. 248(2), pages 703-714.
    10. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    11. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    12. Adnan Kasman & Evrim Turgutlu, 2011. "Performance of European insurance firms in the single insurance market," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(3), pages 363-378.
    13. Chrysovalantis Gaganis & Iftekhar Hasan & Fotios Pasiouras, 2013. "Efficiency and stock returns: evidence from the insurance industry," Journal of Productivity Analysis, Springer, vol. 40(3), pages 429-442, December.
    14. F Fecher & S Perelman & P Pestieau, 1991. "Scale Economies and Performance in the French Insurance Industry," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 16(3), pages 315-326, July.
    15. Andrew M. Yuengert, 1993. "The measurement of efficiency in life insurance estimates of a mixed normal-gamma error model," Research Paper 9308, Federal Reserve Bank of New York.
    16. Karl C. Ennsfellner & Danielle Lewis & Randy I. Anderson, 2004. "Production Efficiency in the Austrian Insurance Industry: A Bayesian Examination," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(1), pages 135-159, March.
    17. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    18. William Greene & Dan Segal, 2004. "Profitability and Efficiency in the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 21(3), pages 229-247, May.
    19. repec:zbw:bofrdp:2013_014 is not listed on IDEAS
    20. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    21. Beckmann, Rainer & Eppendorfer, Carsten & Neimke, Markus, 2002. "Financial integration within the European Union: Towards a single market for insurance," MPRA Paper 5280, University Library of Munich, Germany.
    22. Yao, Shujie & Han, Zhongwei & Feng, Genfu, 2007. "On technical efficiency of China's insurance industry after WTO accession," China Economic Review, Elsevier, vol. 18(1), pages 66-86.
    23. Cummins, J. David & Rubio-Misas, Maria & Zi, Hongmin, 2004. "The effect of organizational structure on efficiency: Evidence from the Spanish insurance industry," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 3113-3150, December.
    24. 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.
    25. Yuengert, Andrew M., 1993. "The measurement of efficiency in life insurance: Estimates of a mixed normal-gamma error model," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 483-496, April.
    26. Carlos Pestana Barros & Nazaré Barroso & Maria Rosa Borges, 2005. "Evaluating the Efficiency and Productivity of Insurance Companies with a Malmquist Index: A Case Study for Portugal," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 30(2), pages 244-267, April.
    27. Fenn, Paul & Vencappa, Dev & Diacon, Stephen & Klumpes, Paul & O'Brien, Chris, 2008. "Market structure and the efficiency of European insurance companies: A stochastic frontier analysis," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 86-100, January.
    28. Bernhard Mahlberg & Thomas Url, 2000. "The Transition to the Single Market in the German Insurance Industry," WIFO Working Papers 131, WIFO.
    29. 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.
    30. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    31. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    32. Fiordelisi, Franco & Molyneux, Phil, 2010. "The determinants of shareholder value in European banking," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1189-1200, June.
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    1. J. David Cummins & María Rubio-Misas, 2022. "Integration and convergence in efficiency and technology gap of European life insurance markets," Annals of Operations Research, Springer, vol. 315(1), pages 93-119, August.

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    More about this item

    Keywords

    Cost efficiency; Integration; Beta-convergence; Sigma-convergence; European Union; Nonlife insurance; Stochastic frontier analysis.;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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