Open AccessThe Effect of the New Rural Social Pension Insurance Program on the Choice of Medical Institutions for Rural Elderly
Author(s) -
Keya Zeng
Publication year - 2021
Publication title -
bcp business and management
Language(s) - English
Resource type - Journals
ISSN - 2692-6156
DOI - 10.54691/bcpbm.v13i.81
Subject(s) - pension , rural area , pension insurance , social security , medical insurance , demographic economics , logistic regression , logit , point (geometry) , business , elderly people , social insurance , economic growth , gerontology , actuarial science , medicine , economics , finance , market economy , geometry , mathematics , pathology , econometrics
To explore the eect of the New Rural Social Pension Insurance (NRSPI) program on the choice of medical institutions for rural elderly is not only an effective entry point to test the influence of the NRSPI program, but also plays an significant role in maintaining people's health, improving our nation’s retirement pension system and the construction of the new countryside. To this end, based on the five periods of Chinese Family Panel Studies (CFPS) data from 2010 to 2018, this paper used Logit model and DID model to empirically investigate the impact of the NRSPI program on the choice of medical institutions for rural elderly. The empirical results show that: first, the NRSPI program can significantly promote the rural elderly to choose higher level of medical institutions for medical treatment. Specifically, receiving the NRSPI pension will increase the probability of rural elderly choosing hospitals at the county level and above by 8.6%, the hospitals at the township level by 2.5%, and will decrease the likelihood of choosing hospitals at the village level by 5.5%.Second, the effects of the NRSPI program are heterogeneous. Compared with the rural elderly in high income families, the program has a greater impact on the choice of medical institutions for those in low income families. Compared with the rural elderly in the eastern region, the program has a greater impact on the selection of county level hospitals and above by those in the central and western regions, but has less impact on the selection of village level hospitals.