Abstract

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

References

1. Antosova, I., Hazuchova, N., & Stavkova, J. (2019). Market Segmentation in Healthcare. Marketing and Management of Innovations, 3, 151–166. [Google Scholar] [CrossRef]
2. Brown, J. R., & Finkelstein, A. (2007). Why is the market for long-term care insurance so small?. Journal of public Economics, 91(10), 1967-1991. [Google Scholar] [CrossRef]
3. Brown, J. R., Goda, G. S., & McGarry, K. (2012). Long-term care insurance demand limited by beliefs about needs, concerns about insurers, and care available from family. Health Affairs, 31(6), 1294-1302. [Google Scholar] [CrossRef]
4. D’Ortona, N. E., & Melisi, G. (2016). Comparison of the claims reserves methods by analyzing the run-off error. Insurance markets and companies: analyses and actuarial computations, (7, Iss. 1), 11-24. [Google Scholar]
5. He, H., & Li, H. (2014). Management Risks and Countermeasures of the Basic Endowment Insurance System for Urban and Rural Residents. Hunan Provincial Government Performance Evaluation and Management Innovation Research Base. Hunan Public Management Research, 5.
6. Huo, Zh., Yin, H., Mykhailov, A., Yan, X., Markina, I., & Aranchii, V. (2019). Analysis on the current situation and countermeasures of the development of the elderly human resources in China. Collective monograph «Management of the 21st century: globalization challenges»ю Prague, Czech Republic.
7. Kasaeva, J. (2019). Developing the methodology of assessing the potential of countries to attract foreign direct investment. Marketing and Management of Innovations, 4, 292–307. [Google Scholar] [CrossRef]
8. Klietsova, N., & Mykhailova, L. (2021). International Experience in Staff Management in the Process of Staff Recruitment for Vacant Positions with the Application of Social Networks in the Conditions of Digitalization. Education of Economists and Managers, 59(1), 31–46.
9. Klietsova, N., & Zhang, Sh. (2020). Scientific investigation concerning optimizing the violation of the persons’ labour rights in conditions of «2019-nCoV»: international current issues. Recht der Osteuropäischen Staaten, 1, 57–61. Retrieved from [Link]
10. Klymchuk, A. O., & Mikhailov, A. N. (2018). The motivation and stimulation of personnel in effective enterprise management and innovation activity improving. Marketing and Management of Innovations, (1), 218-234. [CrossRef]
11. Kurylo, M. P., Klochko, A. M., Volchenko, N. V., Klietsova, N. V., & Bolotina, A. O. (2021). The use of biometric technologies for bank transaction security management against the background of the international experience: Evidence from Ukraine. Banks and Bank Systems, 16, 2, 47–58. [Google Scholar] [CrossRef]
12. Kuznichenko, P., Frolov, S., Orlov, V., & Boiko, O. (2021). European Deposit Insurance Scheme implementation: pros and cons. Insurance Markets and Companies, 16(1), 116–126. [Google Scholar]
13. Li, D., & Wang, M. (2010). The concept of establishing long-term care security system in China. Journal of Insurance Vocational College, 24 (01), 19–22.
14. Lin, H., & Prince, J. T. (2016). Determinants of Private Long‐Term Care Insurance Purchase in Response to the Partnership Program. Health services research, 51(2), 687-703. [Google Scholar] [CrossRef]
15. Melnyk, M., Zhabynets, O., Myshchyshyn, I., & Orlov, V. (2021). Efficient use of the insurance sector potential adjusted for its shadowing: Case of Ukraine. Insurance Markets and Companies, 12(1), 16–31. [Google Scholar]
16. Mykhailova, L., Stoyanets, N., Mykhailov, A., Kharchenko, T., & Bachev, H. (2018). Sustainable development of the Ukrainian agrarian sector: perspectives and challenges. Problems and Perspectives in Management, 16(3), 28-39. [Google Scholar] [CrossRef]
17. Sheng, Zh., He, B., & Zhu, L. (2020). Analysis on the pilot of long-term care insurance system in Suzhou. China Medical Insurance, 2, 37–40.
18. Shi, B. (2008). Integration Construction of Economic Support and Service Guarantee in Endowment Insurance System—Japan’s «Medium-care Insurance» System and Its Enlightenment. Journal of China Youth University for Political Sciences, 3, 115–121.
19. Szczepanski, M. (2018). The application of behavioral economics to reforming pension systems-edivence from Great Britain and New Zealand. Marketing and Management of Innovations, 3, 201–209. [Google Scholar] [CrossRef]
20. Szostek, D. (2021). Innovations in Human Resource Management: Impact of Demographic Characteristics, Quality of Interpersonal Relationships on Counterproductive Work Behaviours. Marketing and Management of Innovations, 1, 11–20. [Google Scholar] [CrossRef]
21. Volosovych, S., Zelenitsa, I., Kondratenko, D., Szymla, W., & Mamchur, R. (2021). Transformation of insurance technologies in the context of a pandemic. Insurance Markets and Companies, 12(1), 1-13. [Google Scholar]
22. Xiangyou, W., & Xueping, L. (2006). Discussion on the development of commercial nursing.
23. Yang, Sh., Zhao, Y., & Lin, J. (2017). A little thinking about the definition standard of the elderly population in China. Northwest Population, 38(02), 7–83.
24. Yanyshyn, Y., Bryk, H., & Kashuba, Y. (2019). Problems and Perspectives of Internet-Insurance in Ukraine. Marketing and Management of Innovations, 4, 31–38. [Google Scholar] [CrossRef]
25. Yashkina, O. (2016). Identifying of risks in pricing using a regression model of demand on price dependence. Marketing and Management of Innovations, 3, 76–86. Retrieved from [Link]
26. Yin, H., Huo, Zh., & Yan, X. (2019). Theoretical review of long-term care insurance. Modern engineering and innovative technologies, 8, 11–18. Retrieved from [Link]
27. Yuan, Q. (2017). Study on the Influencing Factors of Elderly Care Insurance Demand in Shanghai. East China University of Political Science and Law Research, 1.
28. Zaks, A. (2013). Premiums are not necessarily monotonic with interest and age. Insurance Markets and Companies, 4 (2), 13–19. [Google Scholar] [CrossRef]
29. Zhang, L. (2011). Feasibility Study of Elderly Care Insurance in China. Shanghai Economic Research, 10, 114–122.
30. Zhang, X. (2009). Research on long-term care security model. Northern Economy, 2, 16–17.