The causality analysis between financial status of health insurance and socio-economic indexes

碩士 === 國立政治大學 === 經營管理碩士學程(EMBA) === 100 === Since the institution of the current healthcare system in Taiwan, known as National Health Insurance (NHI), in 1995, its financial condition faces the imbalance of the funding and the expenditure. Based on this issue, this project aims to research on the...

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Bibliographic Details
Main Author: 孫德基
Other Authors: 鄭宇庭
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/bezqfm
Description
Summary:碩士 === 國立政治大學 === 經營管理碩士學程(EMBA) === 100 === Since the institution of the current healthcare system in Taiwan, known as National Health Insurance (NHI), in 1995, its financial condition faces the imbalance of the funding and the expenditure. Based on this issue, this project aims to research on the factors impacting the NHI financial condition. The factors take into consideration of the socioeconomic issues and the changing trends of the various economic indicators affecting the funding and the expenditure of the NHI. In addition by encompassing the concepts of insurance penetration and insurance density rate, the project further analyzes the impact of the socioeconomic indicators on the NHI. The project adopts the application of correlation analysis and multiple linear regression analysis to study the influences of the variables: gross domestic products (GDP), economic growth, gross national products (GNP), unemployment rate, workforce participation rate, population, employment rate and average salary, have on the variables: NHI receiving premiums, NHI expenditures, NHI insurance density rate and insurance penetration rate. The results show that under the correlation analysis model all of the variables except for the economic growth rate have the association impact on the NHI financial conditions. As for the analysis under the multiple linear regression analysis, the increase of the employment does increase premium receiving and penetration rate of the NHI and vice versa. With the same respect the increase of the unemployment, GDP and population increase the expenditures of the NHI and the insurance density rate.