Download pdf
Effect evaluation of China's public long-term care insurance system: a review
- 1 南开大学金融学院
* Author to whom correspondence should be addressed.
Abstract
With the deepening of aging, the number of disabled elderlies in China is increasing, and the demand for long-term care services is becoming increasingly prominent. In this context, the government has carried out the pilot work of the public long-term care insurance system. This paper summarizes the literature on the effect evaluation of long-term care insurance system, and concludes that long-term care insurance improves the quality of life of the disabled elderly, and may reduce the utilization of medical services and medical consumption expenditure. In addition, the system can also reduce the burden of caregivers and increase their labor participation. However, the current system also has some problems, such as narrow coverage, poor quality of nursing services and high dependence on the social medical insurance fund, which still need to be continuously optimized and improved.
Keywords
long-term care insurance, effect evaluation, medical service utilization, health effect, spillover effects
[1]. Wang, G. (2019). 70 Years of New China: Change of Population Age Structure and Development Trend of Aging. China Population Science, (03), 2-15 + 126.
[2]. Du, P., & Li, L. (2021). Prediction of the Long-term Trend of China's Population Aging in the New Era. Journal of Renmin University of China, 35(01), 96-109.
[3]. Liu, F., & Fei, Q. (2023). Research on the Demand Scale Forecast and Guarantee Path of Long-term Care Insurance in China: Based on the Data of the Seventh Population Census. Insurance Research, (03), 59-69.
[4]. Liu, X., & Zhong, R. (2017). International Comparison of Long-term Care Insurance and Its Enlightenment to China. Journal of East China Normal University (Philosophy and Social Sciences Edition), 49(04), 93-101 + 163.
[5]. Ma, J. (2019). International Experience Comparison of Long-term Care Insurance System and Its Enlightenment to China. Modern Economic Information, (21), 50-51.
[6]. Spring, O. (2010). International Experience and Enlightenment of Long-term Care Insurance System Construction. Hainan Finance, (07), 38-42.
[7]. Tomata, Y. (2017). Effects of a community-based program for oral health and nutrition on cost-effectiveness by preventing disability in Japanese frail elderly: A quasi-experimental study using propensity score matching. Journal of the American Medical Directors Association, 18(8), 678-685.
[8]. Minsung, S.(2020). Has the long-term care insurance resolved disparities in mortality for older Koreans? Examination of service type and income level. Social Science & Medicine, 247, 112812-112812.
[9]. Wha, L. T. (2019). Day care vs home care: Effects on functional health outcomes among long-term care beneficiaries with dementia in Korea. International Journal of Geriatric Psychiatry, 34(1).
[10]. Tamiya, N. (2011). Population ageing and wellbeing: Lessons from Japan's long-term care insurance policy. The Lancet, 378(9797).
[11]. Kim, H. B., & Lim, W. (2015). Long-term care insurance, informal care, and medical expenditures. Journal of Public Economics, 125.
[12]. Woo, C. J. (2018). Does long-term care insurance reduce the burden of medical costs? A retrospective elderly cohort study. Geriatrics & Gerontology International, 18(12).
[13]. Kim, J., & Lee, Y. (2018). Implementation of long-term care and hospital utilization: Results of segmented regression analysis of interrupted time series study. Archives of Gerontology and Geriatrics, 78.
[14]. Yumiko, A., & Z.S.H. (2011). Exploring strategies to alleviate caregiver burden: Effects of the National Long-Term Care insurance scheme in Japan. Psychogeriatrics: The Official Journal of the Japanese Psychogeriatric Society, 11(3).
[15]. Geyer, J., & K.T. (2015). Long-term Care Insurance and Carers' Labor Supply - A Structural Model. Health Econ, 24(9), 1178-1191.
[16]. Yu, X., Liu, H., & Yang, W. (2019). The Impact of Long-term Care Insurance on Medical Expenses: A Synthetic Control Study Based on Qingdao Model. Insurance Research, (02), 114-127.
[17]. Ma, C. (2019). Long-term Care Insurance, Medical Cost Control and Value Healthcare. China Industrial Economy, (12), 42-59.
[18]. Hou, Y. (2021). The Impact of Long-term Care Insurance on Medical Service Utilization, Medical Burden and Health of Middle-aged and Elderly People: An Empirical Study Based on Double-Difference Method. China Health Policy Research, 14(09), 35-40.
[19]. Wang, Z., & Feng, J. (2021). Substitution Effect of Long-term Care Insurance on Medical Expenses and Comparison of Different Compensation Models. Economics (Quarterly), 21(02), 557-576.
[20]. Liu, C., Su, Q., & Zhou, C. (2023). Does Long-term Care Insurance Improve the Use of Medical Resources? — Evidence from CHARLS. Jiangxi Social Sciences, 43(06), 161-169.
[21]. Hu, T., & Liu, H. (2021). Study on the Effect of Long-term Care Insurance Pilot Policy. Aging Science Research, 9(10), 24-35.
[22]. Xie, Y., & Feng, J. (2022). Does long-term care insurance narrow the health gap for the disabled elderly? Insurance Research, (10), 19-33.
[23]. Chen, H. (2020). Research on the Satisfaction and Influencing Factors of Long-term Care Insurance Beneficiaries: Based on the Survey Data of Shangrao City, Jiangxi Province. China Health Policy Research, 13(12), 16-22.
[24]. Li, L., & Lu, M. (2022). The Impact of Long-term Care Insurance on Life Satisfaction of Middle-aged and Elderly People: An Empirical Analysis Based on CHARLS Data. Southern Population, 37(05), 26-37.
[25]. Zhang, W., & Mei, Z. (2023). Research on the Impact of Long-term Care Insurance on Beneficiaries' Life Satisfaction. China Health Policy Research, 16(04), 9-17.
[26]. Yang, X., & Luo, X. (2023). The Impact of Long-term Care Insurance on the Health Satisfaction of Middle-aged and Elderly People: Based on the Data of China Health and Old-age Follow-up Survey. China Medical Insurance, (07), 54-62.
[27]. Zhang, W., & Fu, M. (2020). Disability Risk and Care Time of Middle-aged and Elderly People in Long-term Care Insurance System: An Analysis Based on Barthel Index. Insurance Research, (05), 80-93.
[28]. Zhu, M., & He, M. (2021). Will Long-term Care Insurance Squeeze out Family Care? — An Empirical Analysis Based on CHARLS Data from 2011 to 2018. Insurance Research, (12), 21-38.
[29]. Shu, Z., & Han, Y. (2022). Research on the Impact of Long-term Care Insurance on Family Intergenerational Support for the Disabled Elderly. Population and Development, 28(04), 143-154 + 117.
[30]. Cai, W., Lu, H., & Shen, X. (2021). Long-term Care Insurance, Residents' Choice of Care and Intergenerational Support: Policy Evaluation Based on the First Pilot Cities of Long-term Care Insurance. Economic Dynamics, (10), 48-63.
[31]. Yu, X., et al. (2021). Elderly Care Security and Women's Labor Participation: Policy Effect Evaluation Based on the Pilot Project of Long-term Care Insurance in Rural China. China Rural Economy, (11), 125-144.
[32]. Cheng, Q., Lu, J., & Zheng, B. (2023). The Impact of Long-term Care Insurance System on the Consumption of Middle-aged and Elderly People: A Test Based on CHARLS Tracking Survey Data. China Population Science, 37(03), 82-96.
[33]. Tian, Y., & Yin, J. (2019). A Study on the Sustainability of the "Relying on Medical Insurance" Long-term Care Insurance Model: Based on the Comparison of Urban and Rural Residents and Urban Workers. Journal of Guizhou University of Finance and Economics, (02), 91-101.
[34]. Jia, L. (2020). A Study on the Sustainability of the Financial Burden of China's Long-term Care Insurance System: Based on the Calculation of 17 Pilot Programs. Social Security Review, 4(04), 53-71.
[35]. Jing, X. (2020). The impact of expanding the pilot of long-term care insurance on the sustainability of medical insurance funds for urban workers in China. Insurance Research, (11), 47-62.
[36]. Chen, H., & Zhao, S. (2021). Financial Sustainability of Long-Term Care Insurance: An Evaluation Study Based on Micro Simulation Methods and Insurance Reimbursement Data. Insurance Research, (10), 64-78.
[37]. Tang, W., Yu, X., & Su, F. (2022). Financing Adjustment Mechanism and Payment Burden of Long-term Care Insurance in China. Insurance Research, (11), 93-109.
[38]. Li, C., & Qian, Y. (2023). Optimization of Financing and Treatment Payment Policies of China's Long-term Care Insurance System: Based on a Comparative Analysis of 15 Pilot Cities in China. Southwest Finance, (08), 97-108.
Cite this article
Xu,X. (2025). Effect evaluation of China's public long-term care insurance system: a review. Journal of Applied Economics and Policy Studies,18(3),45-50.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Journal：Journal of Applied Economics and Policy Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).