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A cost efficiency analysis of the insurance industry in Mexico

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  • Ana María Reyna

    (GNP)

  • Hugo J. Fuentes

    (ITESM CCM)

Abstract

In Mexico, the low participation of insurance activity in national production, in contrast to similar Latin American economies, is a concern. Industry’s regulator promoted more intense competition at the dawn of the century. Was deregulation followed by improvements in the financial and economic performance of Mexican insurance firms? The purpose of this paper is to answer this question through a comprehensive analysis of cost variations in an intertemporal manner, by breaking them down into the economic sources that produce them, including productivity. Cost frontier estimation was grounded in a joint production technology of desirable and undesirable outputs, modeled in an input-oriented fashion. Our results demonstrate that even though some companies achieved cost reductions from technological progress or improvements in efficiency, the Mexican insurance market does not show signs of significant productivity gains.

Suggested Citation

  • Ana María Reyna & Hugo J. Fuentes, 2018. "A cost efficiency analysis of the insurance industry in Mexico," Journal of Productivity Analysis, Springer, vol. 49(1), pages 49-64, February.
  • Handle: RePEc:kap:jproda:v:49:y:2018:i:1:d:10.1007_s11123-017-0521-7
    DOI: 10.1007/s11123-017-0521-7
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    as
    1. Leverty, J. Tyler & Grace, Martin F., 2010. "The robustness of output measures in property-liability insurance efficiency studies," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1510-1524, July.
    2. Hugo Fuentes & Emili Grifell-Tatjé & Sergio Perelman, 2001. "A Parametric Distance Function Approach for Malmquist Productivity Index Estimation," Journal of Productivity Analysis, Springer, vol. 15(2), pages 79-94, March.
    3. Philip Hardwick & Wen Dou, 1998. "The Competitiveness of EU Insurance Industries," The Service Industries Journal, Taylor & Francis Journals, vol. 18(1), pages 39-53, January.
    4. E. Grifell-Tatjé & C. Lovell, 2008. "Productivity at the post: its drivers and its distribution," Journal of Regulatory Economics, Springer, vol. 33(2), pages 133-158, April.
    5. Adnan Kasman & Evrim Turgutlu, 2009. "Total Factor Productivity in the Turkish Insurance Industry," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 16(2), pages 239-247.
    6. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521608268, October.
    7. 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.
    8. Mario Jametti & Thomas von Ungern-Sternberg, 2005. "Assessing the Efficiency of an Insurance Provider—A Measurement Error Approach," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 30(1), pages 15-34, June.
    9. Jeffrey I. Bernstein, 1999. "Total factor productivity growth in the Canadian life insurance industry: 1979-1989," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 500-517, April.
    10. Hugo Fuentes & Emili Grifell-Tatjé & Sergio Perelman, 2005. "Product Specialization, Efficiency and Productivity Change in the Spanish Insurance Industry," Working Papers 244, Barcelona School of Economics.
    11. Saowaros Yaisawarng & Preecha Asavadachanukorn & Suthathip Yaisawarng, 2014. "Efficiency and productivity in the Thai non-life insurance industry," Journal of Productivity Analysis, Springer, vol. 41(2), pages 291-306, April.
    12. Ludwig Kuntz & Sandra Sülz, 2011. "Modeling and notation of DEA with strong and weak disposable outputs," Health Care Management Science, Springer, vol. 14(4), pages 385-388, November.
    13. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, vol. 18(2), pages 161-175, August.
    14. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521845724, October.
    15. 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.
    16. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    17. Lucinda Trigo-Gamarra & Christian Growitsch, 2010. "Comparing Single- and Multichannel Distribution Strategies in the German Life Insurance Market: An Analysis of Cost and Profit Efficiency," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 62(4), pages 401-417, October.
    18. Michael Luhnen, 2009. "Determinants of Efficiency and Productivity in German Property-Liability Insurance: Evidence for 1995–2006," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 483-505, July.
    19. Edward N Wolff, 1991. "Productivity Growth, Capital Intensity, and Skill Levels, in the U. S. Insurance Industry, 1948–86," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 16(2), pages 173-190, April.
    20. Harris Schlesinger & Emilio Venezian, 1986. "Insurance Markets with Loss-Prevention Activity: Profits, Market Structure, and Consumer Welfare," RAND Journal of Economics, The RAND Corporation, vol. 17(2), pages 227-238, Summer.
    21. Giuseppe Turchetti & Cinzia Daraio, 2004. "How Deregulation Shapes Market Structure and Industry Efficiency: The Case of the Italian Motor Insurance Industry," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 29(2), pages 202-218, April.
    22. Mark K. Sherwood, 1999. "Output of the property and casualty insurance industry," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 518-546, April.
    23. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    24. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    25. Siew Hoon Lim & C. A. Knox Lovell, 2008. "Short-run Total Cost Change and Productivity of US Class I Railroads," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 155-188, January.
    26. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    27. David Hadley & Xavier Irz, 2008. "Productivity and farm profit - a microeconomic analysis of the cereal sector in England and Wales," Applied Economics, Taylor & Francis Journals, vol. 40(5), pages 613-624.
    28. 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.
    29. Ade Ibiwoye & Shunsuke Managi, 2008. "Productivity Change of Nigerian Insurance Companies: 1994–2005," African Development Review, African Development Bank, vol. 20(3), pages 505-528.
    30. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    31. Hale Abdul Kader & Mike Adams & Philip Hardwick, 2010. "The Cost Efficiency of Takaful Insurance Companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(1), pages 161-181, January.
    32. W. Erwin Diewert, 2005. "Index Number Theory Using Differences Rather Than Ratios," American Journal of Economics and Sociology, Wiley Blackwell, vol. 64(1), pages 311-360, January.
    33. Cummins, J. David & Weiss, Mary A., 1993. "Measuring cost efficiency in the property-liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 463-481, April.
    34. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Radial and non-radial decompositions of profit change: With an application to Indian banking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1130-1146, August.
    35. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, October.
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    Cited by:

    1. Ana M. Reyna & Hugo J. Fuentes & José A. Núñez, 2022. "Response of Mexican life and non-life insurers to the low interest rate environment," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 409-433, April.
    2. Sen Subir, 2020. "Analysis of Cost Efficiency of Indian Life Insurers: A comparison of Quantity vs Value based DEA Approach," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 14(1), pages 1-25, January.
    3. Molinos-Senante, María & Maziotis, Alexandros & Sala-Garrido, Ramón, 2020. "Changes in the total costs of the English and Welsh water and sewerage industry: The decomposed effect of price and quantity inputs on efficiency," Utilities Policy, Elsevier, vol. 66(C).
    4. Balk, Bert M. & Zofío, José L., 2020. "Symmetric decompositions of cost variation," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1189-1198.
    5. Tai-Hsin Huang & Yi-Chun Lin & Kuo-Jui Huang & Yu-Wei Liao, 2022. "Comparing Cost Efficiency Between Financial and Non-financial Holding Banks and Insurers in Taiwan Under the Framework of Copula Methods and Metafrontier," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 735-766, December.

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