Research on the Relationships Among Education indicator，Health indicator，Economic indicator and Life expectancy at birth.

• Main Authors: Ging-pin Chang, 張靜平
• Other Authors: :Fang-Chuan Chang
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/59417524322023049883

碩士 === 國立台北師範學院 === 教育政策與管理研究所 === 92 === This study was designed to examine the correlation between the selected indicator and life expectancy at birth by analyzing the “ World Development Report” of 1980, 1985 and 1990 respectively. The selected indicator included the ratio of primary, secondary and tertiary education as education indicator, the population per physician and nursing person as health indicator, and per capital income and economic growth rate as economic indicator. To study what we just mentioned, Multiple Regression Analysis (MRA) based on 6 hypotheses and Structural Equation Modeling (SEM) based on 3 hypotheses were developed to test causal relationship between the latent variables, the selected indicator. The results of MRA showed that education and economic indicator were positively correlated with life expectancy at birth, and the health indicator were to the contrary. In the other hand, the chi-square tests of latent variables in SEM didn’t reach apparently significant level (α =.05) but values of AGFI, GFI, CFI and IFI approached to 1. It revealed good whole goodness of fit between the latent variables and life expectancy at birth. As a result, the findings seemed to show that the relatively tertiary education enrollment rate , and per capital income and economic growth rate elongate surviving years of each age catalog. But the more the patient numbers distributed to each physician and nurse, the shorter the life expectancy at birth would be. Overall, our results suggest that improvement of life expectancy at birth can be achieved through investment in education and creation of more educational opportunity to increase the enrollment rate as well as investment in both hardware and software to promotion of medical quality. The suggestions of the results are enumerated in the aspects of results and research methods including MRA and SEM as follows. 1.suggestions from results: (1) The relatively high enrollment rate elongated life expectancy at birth. In other words, we suggest that the government could improve life expectancy at birth through investment in education and creation of more educational opportunity. (2) Sufficiency in medical resource could insure well medical service quality and reduce death rate. In others words, we suggest that the government could achieve high life expectancy at birth through more budget, personnel and professional technical in medical education. (3) Neither per capital income nor economic growth rate showed close relationship with life expectancy at birth. We suggest that more national characteristics should be taken into consideration in further research. 2.suggestions from MRA: (1) This study could not successfully access to more useful data and materials. We suggest that further research with large data could be conducted to examine whether the results were representative or not. (2) Research method other than MRA should be conducted to examine this study result. (3) Research years more than 3 years should be conducted to examine this study result. (4) Apposite indicators other than education, health and income index should be conducted to examine this study result. (5) It is good study subject to explore and test life expectancy at birth from multi aspect in father reseach. 3.suggestions form SEM: (1) Research with several time series should be conducted to adjust SEM fidelity. (2) It should be reconfirmed if the number of sampling countries are too small to assure the stability of SEM we proposed. (3) Accessibility of measurable indicator should be taken into consideration in the future research. (4) If conducting further research on life expectancy at birth. The reach could analyze and discuss from multi aspects. It also could study different indicator to know the life expectancy at birth of one country. (5) Research method other than SEM should be conducted to examine this study result. (6) Different research years, samples and variables should be conducted to make this SEM more persuasive.