IDEAS home Printed from https://ideas.repec.org/a/ags/jlcoop/244023.html
   My bibliography  Save this article

Survivorship of Minnesota Township Mutual Fire Insurance Companies

Author

Listed:
  • White, James M.
  • Boland, Michael A.

Abstract

The objective of this research is an analysis of the firm-level factors that led to relatively longer survival for individual firms in the township mutual industry in Minnesota. Next, the trends in the data provide support for the claim that the shrinking number of farms in their market areas negatively impacts long-term survival. This consideration is even more significant to organizations that, as a result of their legal and historical legacies, have remained smaller than their commercial competitors. Moreover, the variable that was most significant in these analyses was surplus, or profitability. While it is helpful to know that profitability is heavily correlated with long-term survival, this finding does not provide a basis on which a practitioner can realize this result.

Suggested Citation

  • White, James M. & Boland, Michael A., 2014. "Survivorship of Minnesota Township Mutual Fire Insurance Companies," Journal of Cooperatives, NCERA-210, vol. 29, pages 1-27.
    • Handle: RePEc:ags:jlcoop:244023
    DOI: 10.22004/ag.econ.244023
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/244023/files/29-01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.244023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Corey C. Risch & Michael A. Boland & John M. Crespi, 2014. "Survival of U.S. Sugar Beet Plants from 1897 to 2011," Agribusiness, John Wiley & Sons, Ltd., vol. 30(3), pages 265-277, June.
    Full references (including those not matched with items on IDEAS)

    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. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    2. 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.
    3. Cecilia Dassatti & Rodrigo Lluberas, 2020. "The costs of annuitising: are retirees fairly charged?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 535-557, July.
    4. Biener, Christian & Eling, Martin & Jia, Ruo, 2017. "The structure of the global reinsurance market: An analysis of efficiency, scale, and scope," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 213-229.
    5. 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.
    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. Alshammari, Ahmad Alrazni & Syed Jaafar Alhabshi, Syed Musa bin & Saiti, Buerhan, 2019. "The impact of competition on cost efficiency of insurance and takaful sectors: Evidence from GCC markets based on the Stochastic Frontier Analysis," Research in International Business and Finance, Elsevier, vol. 47(C), pages 410-427.
    8. Shuji Yao & Zhongwei Han & Dan Luo, 2010. "Performance of the Chinese Insurance Industry under Economic Reforms," Books, Edward Elgar Publishing, number 12788.
    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. 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.
    11. Ankitha Shetty & Savitha Basri, 2020. "Assessing the Technical Efficiency of Traditional and Corporate Agents in Indian Life Insurance Industry: Slack-based Data Envelopment Analysis Approach," Global Business Review, International Management Institute, vol. 21(2), pages 490-506, April.
    12. Jarraya, Bilel & Bouri, Abdelfettah, 2012. "Efficiency concept and investigations in insurance industry: A survey," MPRA Paper 53544, University Library of Munich, Germany, revised 2013.
    13. 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.
    14. repec:zbw:bofrdp:2013_014 is not listed on IDEAS
    15. Biener, Christian & Eling, Martin & Jia, Ruo, 2016. "The Roles of Industry Idiosyncrasy, Cost Efficiency, and Risk in Internationalization: Evidence from the Insurance Industry," Working Papers on Finance 1602, University of St. Gallen, School of Finance.
    16. Mohammad Nourani & Qian Long Kweh & Irene Wei Kiong Ting & Wen-Min Lu & Anna Strutt, 2022. "Evaluating traditional, dynamic and network business models: an efficiency-based study of Chinese insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 905-943, October.
    17. Cecilia Dassatti & Rodrigo Lluberas, 2016. "The costs of annuitizing," Documentos de trabajo 2016004, Banco Central del Uruguay.
    18. 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.
    19. 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.
    20. 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.
    21. Daniel Attah-Kyei & Charles Andoh & Saint Kuttu, 2023. "Risk, technical efficiency and capital requirements of Ghanaian insurers," Risk Management, Palgrave Macmillan, vol. 25(4), pages 1-27, December.

    More about this item

    Keywords

    Community/Rural/Urban Development;

    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:ags:jlcoop:244023. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daksuus.html .

    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.