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Optimal labor and capital utilization by financial firms: evidence from the German property and casualty insurance industry

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Listed:
  • Martin Eling

    (University of St. Gallen)

  • Martin Lehmann

    (University of St. Gallen)

  • Philipp Schaper

    (University of St. Gallen)

Abstract

Motivated by discussions whether financial firms use too much equity capital and labor, we analyze the input utilization in the German property and casualty (p/c) insurance industry in a newly constructed sample of firm-level data in the period 1956–2019. An earlier study for the U.S. (Cummins and Nini, J Financial Serv Res 21(1–2):15–53, 2002) finds that p/c insurers over-utilize capital. Compared to this study, our large historical dataset exhibits less heterogeneity and thus allows a cleaner identification of the impact of firm characteristics on input factor utilization. We show that German p/c insurers have substantial cost savings potential and that labor input is the main driver of inefficiency. We also document severe differences in firm characteristics driving the utilization of labor. Our results contribute to both the academic discussion on productivity and efficiency in financial services as well as to the political discussion on the future of work and capital regulation in this sector.

Suggested Citation

  • Martin Eling & Martin Lehmann & Philipp Schaper, 2022. "Optimal labor and capital utilization by financial firms: evidence from the German property and casualty insurance industry," Journal of Business Economics, Springer, vol. 92(5), pages 853-897, July.
    • Handle: RePEc:spr:jbecon:v:92:y:2022:i:5:d:10.1007_s11573-021-01071-8
    DOI: 10.1007/s11573-021-01071-8
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    1. J. Cummins & Xiaoying Xie, 2013. "Efficiency, productivity, and scale economies in the U.S. property-liability insurance industry," Journal of Productivity Analysis, Springer, vol. 39(2), pages 141-164, April.
    2. Kai Sandner & Sebastian Sieber & Marleen Tellermann & Frank Walthes, 2020. "A Lean Six Sigma framework for the insurance industry: insights and lessons learned from a case study," Journal of Business Economics, Springer, vol. 90(5), pages 845-878, June.
    3. J. Cummins & Hongmin Zi, 1998. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 10(2), pages 131-152, October.
    4. 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.
    5. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    6. 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.
    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. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    9. Bernhard Mahlberg & Thomas Url, 2003. "Effects of the single market on the Austrian insurance industry," Empirical Economics, Springer, vol. 28(4), pages 813-838, November.
    10. Sidney E. Harris & Joseph L. Katz, 1991. "Organizational Performance and Information Technology Investment Intensity in the Insurance Industry," Organization Science, INFORMS, vol. 2(3), pages 263-295, August.
    11. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    12. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    13. Berger, Allen N & Cummins, J David & Weiss, Mary A, 1997. "The Coexistence of Multiple Distribution Systems for Financial Services: The Case of Property-Liability Insurance," The Journal of Business, University of Chicago Press, vol. 70(4), pages 515-546, October.
    14. 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.
    15. 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.
    16. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    17. Marty Stuebs & Li Sun, 2010. "Business Reputation and Labor Efficiency, Productivity, and Cost," Journal of Business Ethics, Springer, vol. 96(2), pages 265-283, October.
    18. Claudia Goldin & Lawrence F. Katz, 1998. "The Origins of Technology-Skill Complementarity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 693-732.
    19. Barbara J. Craig & Philip G. Pardey & Johannes Roseboom, 1997. "International Productivity Patterns: Accounting for Input Quality, Infrastructure, and Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1064-1076.
    20. 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.
    21. Martin Eling & Robert E. Hoyt & Philipp Schaper, 2020. "The Impact of Capacity on Price and Productivity Change in Insurance Markets: New Firm-Level Evidence," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 43(1), pages 22-58.
    22. J. A. Bikker & M. van Leuvensteijn, 2008. "Competition and efficiency in the Dutch life insurance industry," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2063-2084.
    23. 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.
    24. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    25. 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.
    26. Martin Eling & Hato Schmeiser & Joan T. Schmit, 2007. "The Solvency II Process: Overview and Critical Analysis," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 10(1), pages 69-85, March.
    27. Alexander Bohnert & Albrecht Fritzsche & Shirley Gregor, 2019. "Digital agendas in the insurance industry: the importance of comprehensive approaches†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 1-19, January.
    28. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    29. Andreas Dellnitz & Andreas Kleine & Wilhelm Rödder, 2018. "CCR or BCC: what if we are in the wrong model?," Journal of Business Economics, Springer, vol. 88(7), pages 831-850, September.
    30. Martin Eling & Martin Lehmann, 2018. "The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 359-396, July.
    31. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    32. J. Cummins & Gregory Nini, 2002. "Optimal Capital Utilization by Financial Firms: Evidence from the Property-Liability Insurance Industry," Journal of Financial Services Research, Springer;Western Finance Association, vol. 21(1), pages 15-53, February.
    33. Braun, Alexander & Schmeiser, Hato & Rymaszewski, Przemysław, 2015. "Stock vs. mutual insurers: Who should and who does charge more?," European Journal of Operational Research, Elsevier, vol. 242(3), pages 875-889.
    34. Danny Leung & Césaire Meh & Yaz Terajima, 2008. "Firm Size and Productivity," Staff Working Papers 08-45, Bank of Canada.
    35. 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.
    36. 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.
    37. Bart van Ark & Erik Monnikhof, 1996. "Size Distribution of Output and Employment: A Data Set for Manufacturing Industries in Five OECD Countries, 1960s-1990," OECD Economics Department Working Papers 166, OECD Publishing.
    38. Peter Bogetoft & Lars Otto, 2011. "Benchmarking with DEA, SFA, and R," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7961-2, June.
    39. 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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    Keywords

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    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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