• DocumentCode
    693910
  • Title

    The Operating Performance of Agricultural Insurance Companies: Empirical Analysis for China

  • Author

    Lei Shen

  • Author_Institution
    Sch. of Finance, Zhejiang Univ. of Finance & Econ., Hangzhou, China
  • fYear
    2013
  • fDate
    14-16 Nov. 2013
  • Firstpage
    310
  • Lastpage
    314
  • Abstract
    Sustainable operation of agricultural insurance companies is crucial for the sustainable development of agricultural insurance in China, and whether agricultural insurance companies can operate sustainably is fully reflected in their operating performance. Grey correlation analysis is a method that can do effective treatment for "small sample", "little data", "uncertainty", "multi-variable input", "discrete data", and "incomplete data", and measure the degree of relations between different factors. Because of limited number of agricultural insurance company in China, gray relational analysis is utilized to assess their operating performance. Empirical results show that the overall level of performance of agricultural insurance companies is good, but contribution of each factor to the performance was not significant. Strong government support is the key that agricultural insurance companies had good performances. Mutual agricultural insurance is full of vitality, but development of foreign agricultural insurance is not optimistic. In order to improve operational efficiency effectively, agricultural insurance company should adopt holistic development strategies.
  • Keywords
    agriculture; government policies; grey systems; insurance; sustainable development; China; agricultural insurance companies operating performance; government support; grey correlation analysis; sustainable development; Companies; Correlation; Government; Indexes; Insurance; Uncertainty; agricultural insurance company; gray correlation analysis; operating perfermance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4778-2
  • Type

    conf

  • DOI
    10.1109/BIFE.2013.66
  • Filename
    6961144