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Productivity and Technical Efficiency in the Italian Insurance Industry

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  • J. David Cummins
  • Giuseppe Turchetti

Abstract

The purpose of this paper is to partially fill the gap in the existing literature by conducting an analysis of technical efficiency and productivity growth in the Italian insurance industry. The analysis makes use of a detailed data base on Italian life and non-life insurance companies over the period 1985-1993, provided by the Associazione Nazaionale fra le Impress Assicurazioni, the association of insurance companies. The authors measure technical efficiency, changes in technical efficiency over time, and technical changes over time for a sample of Italian insurers, and use the results to test hypotheses regarding industrial organization and to analyze trends associated with structural developments in the market. Data development analysis (DEA) is used to estimate product frontiers for each year of the sample. A production frontier gives the minimum inputs required to produce any given output vector. An important reason for conducting the analysis presented is to provide benchmark statistics to facilitate comparisons of efficiency and productivity under the new European regulatory regime when data on more recent periods become available. In addition, the production frontier results are used to test hypotheses about two major issues in industrial organization - the coexistence of alternative product distribution systems, and organizational forms in an industry. The results indicated that technical efficiency in the Italian insurance industry ranged from 70 to 78 percent during the sample period. There was almost no efficiency change over the sample period. However, productivity declined significantly over the sample period, with a cumulative decline of about 25 percent. The decline was attributable almost exclusively to technological regress, implying that insurers needed more inputs to produce their outputs at the end of the sample period that they did at the beginning. Although improvement in both technical efficiency and technical change appear to be needed, the main problem at present appears to be the adverse shift in the production frontier. Although the sources of the technical regress characterizing the Italian industry are not entirely clear, this phenomenon has been observed in at least one other financial services industry that experienced deregulation and growth in new products and distribution systems - the Spanish savings banks. In a dynamically changing environment, many insurers may be adopting new approaches to producing their outputs. This provides more opportunities for firms to make mistakes in the choice of technology, perhaps leading to excessive consumption of inputs even by "best practice" firms. An increase in the complexity of insurance products and markets could have a similar effect. As firms become more experienced at operating in the new environment and the initial false-starts in the adoption of new technology have been corrected, the productivity of the Italian insurance industry can be expected to improve. The increase in competition resulting from deregulation should reinforce this process, as firms that fail to improve are likely to be penalized the by the market.

Suggested Citation

  • 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.
  • Handle: RePEc:wop:pennin:96-10
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    File URL: http://fic.wharton.upenn.edu/fic/papers/96/9610.pdf
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    Cited by:

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    3. Mohammad Nourani & Qian Long Kweh & Evelyn Shyamala Devadason & V.G.R. Chandran, 2020. "A decomposition analysis of managerial efficiency for the insurance companies: A data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 885-901, September.
    4. 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.
    5. 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.
    6. 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.
    7. Lotfi Ben Jedidia & Imed Medhioub, 2015. "The Efficiency of Saudi Arabia Insurance Companies," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 5(3), pages 237-248.
    8. Milton Nektarios & Panos Xenos & George Nektarios & Kostas Poulakis & Michalis Chouzouris, 2015. "Efficiency Analysis of Lloyd’s Syndicates: A Comparison of DEA and SFA Approaches," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(1-2), pages 27-46, January-M.
    9. Brito, Duarte & Pereira, Pedro & Ramalho, Joaquim J.S., 2013. "Mergers, coordinated effects and efficiency in the Portuguese non-life insurance industry," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 554-568.
    10. Bernhard Mahlberg & Thomas Url, 2000. "The Transition to the Single Market in the German Insurance Industry," WIFO Working Papers 131, WIFO.
    11. Reza Sanei & Farhad Hosseinzadeh lotfi & Mohammad Fallah & Farzad Movahedi Sobhani, 2022. "An Estimation of an Acceptable Efficiency Frontier Having an Optimum Resource Management Approach, with a Combination of the DEA-ANN-GA Technique (A Case Study of Branches of an Insurance Company)," Mathematics, MDPI, vol. 10(23), pages 1-21, November.
    12. Khan, Atiquzzafar & Noreen, Uzma, 2014. "Efficiency Measure of Insurance v/s Tak ful Firms Using DEA Approach: A Case of Pakistan," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 22, pages 139-158.
    13. 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.
    14. Davide Lanfranchi & Laura Grassi, 2021. "Translating technological innovation into efficiency: the case of US public P&C insurance companies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 565-585, December.
    15. Vintilă Alexandra & Trucmel Irina-Maria & Roman Mihai Daniel, 2022. "Measuring and Analyzing the Efficiency of Firms in the Insurance Industry Using DEA Techniques," Journal of Social and Economic Statistics, Sciendo, vol. 11(1-2), pages 59-83, December.
    16. Barros, Carlos Pestana & Nektarios, Milton & Assaf, A., 2010. "Efficiency in the Greek insurance industry," European Journal of Operational Research, Elsevier, vol. 205(2), pages 431-436, September.
    17. 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.
    18. 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.
    19. 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.
    20. Milton Nektarios, 2010. "A Growth Theory for the Insurance Industry," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 13(1), pages 45-60, March.
    21. Jarraya, Bilel & Bouri, Abdelfettah, 2012. "Efficiency concept and investigations in insurance industry: A survey," MPRA Paper 53544, University Library of Munich, Germany, revised 2013.
    22. 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.
    23. Mahlberg Bernhard, 2000. "Technischer Fortschritt und Produktivitätsveränderungen in der deutschen Versicherungswirtschaft / Efficiency Progress and Productivity Change in Germany Insurance Industry," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 220(5), pages 565-591, October.
    24. Kramarić Tomislava Pavić & Miletić Marko, 2019. "The Boone Indicator as Determinant of Croatian Insurance Market Soundness," South East European Journal of Economics and Business, Sciendo, vol. 14(2), pages 1-12, December.

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