Literature DB >> 34079400

The Impact of the Upgrading of the Industrial Structure on the Urban Employee Basic Medical Insurance Fund: An Empirical Study in China.

Meng Zheng1,2, Junli Zhu1,2.   

Abstract

BACKGROUND: During the transformation of economy to a high-quality level in China, industrial restructuring and upgrading have played an important role. The upgrading of the industrial structure has affected not only the development in society and economy but also other fields, thereby having great impact on social security. In recent years, with the aging of the population and economic development, the social medical insurance fund is undertaking more payment pressure. However, the existing research rarely focuses on the impact of industrial structure upgrading on medical insurance.
OBJECTIVE: The main aim of this study was to analyze the impact of the upgrading of industrial structure on the income and expenditure of the urban employee basic medical insurance fund.
METHODS: China's provincial panel data from 2007 to 2018, collected by the National Bureau of Statistics of China, were used to establish a panel regression model in order to investigate the impact of the upgrading of the industrial structure on the income and expenditure of the urban employee basic medical insurance fund.
RESULTS: The research showed that the upgrading of the industrial structure, in combination with the internal upgrading in the tertiary industry, had a positive impact on the income and expenditure of the urban employee basic medical insurance fund and that there were regional differences. The simple upgrading of the three major industries had no effect on the income or expenditure of the urban employee basic medical insurance fund. In addition to the upgrading of industrial structure, other factors such as the average salary of employed persons in urban units, the proportion of retirees among all insured persons in urban employee basic medical insurance and the expenditure of urban employee basic medical insurance were also found to have impact on the income of urban employee basic medical insurance. Moreover, the expenditure of urban employee basic medical insurance was associated with the proportion of retirees among all insured persons in urban employee basic medical insurance, GDP and an aging population.
CONCLUSION: In the context of the upgrading of the industrial structure, measures such as strengthening employment and income security, delaying retirement, adjusting birth policy, strengthening the scientific management of personal accounts and accurately positioning the regional industrial structure were suggested to be adopted in order to minimize the payment pressures on the urban employee basic medical insurance fund.
© 2021 Zheng and Zhu.

Entities:  

Keywords:  employment structure; industrial structure upgrading; panel regression model; urban employee basic medical insurance

Year:  2021        PMID: 34079400      PMCID: PMC8163998          DOI: 10.2147/RMHP.S298145

Source DB:  PubMed          Journal:  Risk Manag Healthc Policy        ISSN: 1179-1594


  9 in total

Review 1.  Medical care costs: how much welfare loss?

Authors:  J P Newhouse
Journal:  J Econ Perspect       Date:  1992

2.  Ageing and health care expenditure in EU-15.

Authors:  Mickael Bech; Terkel Christiansen; Ehsan Khoman; Jørgen Lauridsen; Martin Weale
Journal:  Eur J Health Econ       Date:  2010-06-24

3.  An econometric analysis of health care expenditure: a cross-section study of the OECD countries.

Authors:  U G Gerdtham; J Søgaard; F Andersson; B Jönsson
Journal:  J Health Econ       Date:  1992-05       Impact factor: 3.883

4.  The impact of technology on health care cost and policy development.

Authors:  Paul E Wallner; Andre Konski
Journal:  Semin Radiat Oncol       Date:  2008-07       Impact factor: 5.934

5.  Socioeconomic status and utilization of health care services in Canada and the United States: findings from a binational health survey.

Authors:  Debra L Blackwell; Michael E Martinez; Jane F Gentleman; Claudia Sanmartin; Jean-Marie Berthelot
Journal:  Med Care       Date:  2009-11       Impact factor: 2.983

6.  Explaining health care expenditure variation: large-sample evidence using linked survey and health administrative data.

Authors:  Randall P Ellis; Denzil G Fiebig; Meliyanni Johar; Glenn Jones; Elizabeth Savage
Journal:  Health Econ       Date:  2013-03-12       Impact factor: 3.046

7.  Inpatient and outpatient health care demand in Cairo, Egypt.

Authors:  R P Ellis; D K McInnes; E H Stephenson
Journal:  Health Econ       Date:  1994 May-Jun       Impact factor: 3.046

8.  A mixed logit model of health care provider choice: analysis of NSS data for rural India.

Authors:  Bijan J Borah
Journal:  Health Econ       Date:  2006-09       Impact factor: 3.046

9.  "It's not easy to acknowledge that I'm ill": a qualitative investigation into the health seeking behavior of rural Palestinian women.

Authors:  Linda Majaj; Majed Nassar; Manuela De Allegri
Journal:  BMC Womens Health       Date:  2013-05-24       Impact factor: 2.809

  9 in total
  1 in total

1.  In-patient Expenditure Between 2012 and 2020 Concerning Patients With Liver Cirrhosis in Chongqing: A Hospital-Based Multicenter Retrospective Study.

Authors:  Juntao Tan; Xuewen Tang; Yuxin He; Xiaomei Xu; Daoping Qiu; Jianfei Chen; Qinghua Zhang; Lingqin Zhang
Journal:  Front Public Health       Date:  2022-03-08
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.