IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v10y2020i6f10_6_6.html
   My bibliography  Save this article

Cost Efficiency and Convergence in the European Nonlife Insurance Industry

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%2010_6_6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jarraya, Bilel & Bouri, Abdelfettah, 2012. "Efficiency concept and investigations in insurance industry: A survey," MPRA Paper 53544, University Library of Munich, Germany, revised 2013.
    3. 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.
    4. 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.
    5. repec:zbw:bofrdp:2013_014 is not listed on IDEAS
    6. Emmanuel Mamatzakis & Christos Staikouras & Christos Triantopoulos & Zhi Cheng Wang, 2024. "Measuring the efficiency and productivity of U.K. insurance market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 1097-1114, January.
    7. 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.
    8. Eling, Martin & Jia, Ruo & Schaper, Philipp, 2017. "Get the Balance Right: A Simultaneous Equation Model to Analyze Growth, Profitability, and Safety," Working Papers on Finance 1716, University of St. Gallen, School of Finance.
    9. Gustavo Ferro & Sonia León, 2018. "A Stochastic Frontier Analysis of Efficiency in Argentina’s Non-Life Insurance Market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 158-174, January.
    10. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    11. 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.
    12. Chakraborty Kalyan & Dutta Anirban & Sengupta Partha Pratim, 2012. "Efficiency and Productivity of Indian Life Insurance Industry," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 7(1), pages 1-28, December.
    13. Kalyvas, Antonios Nikolaos & Mamatzakis, Emmanuel, 2014. "Does business regulation matter for banks in the European Union?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 278-324.
    14. 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.
    15. 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.
    16. William WISE, 2018. "The importance of efficiency for life insurer profit: A study of Canadian life insurance companies," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(617), W), pages 179-204, Winter.
    17. 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.
    18. Carlos Pestana Barros & Silvestre Dumbo & Peter Wanke, 2014. "Efficiency Determinants and Capacity Issues in Angolan Insurance Companies," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 455-467, September.
    19. Shoaib Alam Siddiqui & Ali Shaddady, 2023. "How Profit Efficient is Indian Life Insurance Industry: A DEA Study," SAGE Open, , vol. 13(4), pages 21582440231, December.
    20. Jaap Bikker & Adelina Popescu, 2014. "Efficiency and competition in the Dutch non-life insurance industry: Effects of the 2006 health care reform," Working Papers 14-12, Utrecht School of Economics.
    21. Kwaku Ohene-Asare & Jones Kofi Anyimadu Asare & Charles Turkson, 2019. "Dynamic cost productivity and economies of scale of Ghanaian insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 148-177, January.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:apfiba:v:10:y:2020:i:6:f:10_6_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.