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首页> 外文期刊>Majallah-i pizishki-i Urumiyah. >THE EFFECT OF HEALTH INDICATORS AND MACROECONOMIC VARIABLES ON THE LEVEL OF LIFE EXPECTANCY: COMPARISON OF DEVELOPING AND DEVELOPED COUNTRIES WITH THE PANEL DATA APPROACH
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THE EFFECT OF HEALTH INDICATORS AND MACROECONOMIC VARIABLES ON THE LEVEL OF LIFE EXPECTANCY: COMPARISON OF DEVELOPING AND DEVELOPED COUNTRIES WITH THE PANEL DATA APPROACH

机译:健康指标和宏观经济变量对预期寿命水平的影响:具有小组数据方法的发展中国家和发达国家的比较

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Background & Aims: Economic and social factors have a great impact on health and consequently on life expectancy. Health means having complete physical, mental, and social well-being, and it does not only refer to the absence of disease and disability. Health status depends on the factors affecting it, including economic, social, cultural, physical environment, genetic factors, and the level of access to health services. The health status of communities is measured by health indicators. The present study compares the effect of health indicators and macroeconomic variables on life expectancy. Materials & Methods: This study first describes the factors affecting the life expectancy index, then estimates the impact of macroeconomic indicators (economic growth), inflation and unemployment , and health indicators (health expenditure, food poverty, mortality rate and level of education) on life expectancy (information from the countries surveyed from the World Bank website, the International Monetary Fund and the World Health Report) using the Panel Data method in the period 2010 to 2018 for developed and developing countries using Eviews software. Results: Limer and Hausman F tests were used to determine the optimal model. Based on these tests in both categories of developed and developing countries, the width of the origin was not the same for all sections and the Panel Data method was used and model estimation in the case of fixed effects over model estimation has priority over other methods. In developing countries, inflation, unemployment, mortality, and food poverty rates have a negative effect on life expectancy and the impact of economic growth, education, and health expenditures on this index are positive, but due to the level of significance of research variables is observed. The effect of education and health expenditures on life expectancy index is not considered significant. This may be due to the low level of education and spending on health in these countries . Also, in developed countries, inflation, unemployment, mortality, and food poverty rates have a negative effect on life expectancy and the effect of economic growth, education, and health expenditures on this index is positive, but due to the significant level of research variables, the effect is observed. Inflation and mortality rates are not considered significant on the life expectancy index. This may be due to low inflation and mortality rates in these countries. Conclusion: The results of comparing the panels of developed and developing countries show that in almost both categories of studied indicators, the impact of economic and health indicators on life expectancy index in developing countries is more than the developed countries. This can be due to the poor state of economic and health indicators in developing countries compared to developed countries, which with each change in these variables, the status of life expectancy index shows more changes than developed countries.
机译:背景与目标:经济和社会因素对健康产生了很大影响,因此对预期寿命产生了很大影响。健康意味着具有完全的身体,精神和社会福祉,它不仅指没有疾病和残疾。健康状况取决于影响它的因素,包括经济,社会,文化,身体环境,遗传因素和卫生服务的获得水平。社区的健康状况由健康指标衡量。本研究比较了健康指标和宏观经济变量对预期寿命的影响。材料和方法:本研究首先描述了影响预期寿命指数的因素,然后估计宏观经济指标(经济增长),通货膨胀和失业,以及健康指标(卫生支出,粮食贫困,死亡率和教育水平)的影响预期寿命(来自世界银行网站,国际货币基金组织和世界健康报告的国家的信息)在2010年至2018年期间为使用Eviews软件的发达国家和发展中国家使用小组数据方法。结果:Limer和Hausman F测试用于确定最佳模型。基于这些在发达国家和发展中国家的两类测试中,所有部分的原点的宽度不相同,使用面板数据方法,在模型估计的固定效果的情况下使用模型估计优先于其他方法。在发展中国家,通货膨胀,失业,死亡率和粮食贫困利率对预期寿命的负面影响以及经济增长,教育和保健支出对该指数的影响是积极的,但由于研究变量的重要性观察到的。教育和保健支出对预期寿命指数的影响并不重要。这可能是由于这些国家的低水平教育和卫生的支出。此外,在发达国家,通货膨胀,失业,死亡率和粮食贫困率也对预期寿命和经济增长,教育和保健支出对该指数的影响产生了负面影响,而是由于研究变量显着,效果被观察到。通货膨胀和死亡率在预期寿命指数上不被视为显着。这可能是由于这些国家的低通胀和死亡率。结论:比较发达国家和发展中国家面板的结果表明,在几乎所有类别的学习指标中,经济和健康指标对发展中国家的预期指数对发达国家的影响。这可能是由于发展中国家的经济和健康指标状况不佳,与发达国家相比,这与这些变量的每次变化相比,预期寿命指数的地位表现出比发达国家更多的变化。

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