Henan Institute of Science and Technology (China)
Henan Institute of Science and Technology (China)
Sumy National Agrarian University (Ukraine)
Hezhou University (China)
Henan Institute of Science and Technology (China)
This paper summarizes the arguments within the scientific discussion on the investigation of human resource management of willingness and ability of long-term care insurance. The main purpose of the research is to investigate human resource management of willingness and ability of long-term care insurance considering the innovative international experience and the case of Henan province in China. Systematization literary sources and approaches for solving how the person could be motivated to use long-term care insurance indicate that this goal could be reached by issuing questionnaires. The relevance of the decision of this scientific problem is that the demand for long-term care insurance, domestic and foreign scholars mainly use questionnaire survey to conduct quantitative and qualitative research. Investigation of the proposed topic in the paper is carried out in the following logical sequence: the method of expert analysis allowed forming the survey of long-term care insurance. The research’s theoretical and methodological basics are general scientific and special methods of certain economic phenomena and processes’ cognition. The dialectical method was used to synthesize theoretical and methodological foundations of human resource management of willingness and ability of long-term care insurance foreign countries and China and formulate conclusions. Methodological tools of the research methods were respondents from January 20, 2020, until the end of March 31, 2020. The paper presents the results of the empirical analysis that the proportion of those willing to participate in the long-term care insurance system with an income of «less than 2,000 yuan» is 65.4%; the proportion of those willing to participate in the long-term care insurance system with an income of «2000-4000 yuan» is 69.0%, and the proportion of those willing to participate in the long-term care insurance system with an income of «4000-6000 yuan» is 74.1%. The regression analysis as the statistical method was used to determine whether and to what extent dependent and independent variables are significant. The research empirically confirms and theoretically proves that the factors of the insurance awareness model and the regression of Q24 «are you willing to participate in the long-term care insurance system» are not significant, indicating that the insurance awareness factor is not an influential factor for the old-age care insurance demand. Therefore, the original hypothesis was denied, and the insurance consciousness model factors became not significantly related to the willingness of demand for long-term care insurance. The research results could be useful for those who have a deal with responsible staff, but for this reason, some indicators could influence his behavior. Summing up the results of the held scientific research it could be done the following recommendations. First of all, strengthening publicity and standardize management of long-term care insurance system. Secondly, that should be accelerated the development of the nursing industry with aging, chronic diseases, and other increasingly serious, China’s medical resources are very scarce, especially in the nursing industry. Thirdly, it would be progressive if China absorbed the foreign long-term care insurance experience. Fourthly, it should be improved the design of long-term care insurance and increased the types of insurance products.
Keywords: care insurance, China, expert evaluation, human resource management, innovation, international experience, long-term insurance
JEL Classification: B41, C12, E22, I13, J24.
Cite as: Yin, H., Huo, Zh., Klietsova, N., Li, Z., & Zhang, Y. (2021). Innovations in human resource management: willingness and ability of long-term care insurance. Marketing and Management of Innovations, 2, 261-277. https://doi.org/10.21272/mmi.2021.2-22
This work is licensed under a Creative Commons Attribution 4.0 International License
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