影响菲律宾婴儿和五岁以下儿童死亡率的因素:结构方程模型的应用

Sherwin S. Fortugaliza
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引用次数: 0

摘要

1996年至2013年,菲律宾婴儿和五岁以下儿童死亡率逐渐下降(世界银行,2013年)。然而,这一进展迹象仍需要进一步努力,以实现减少风险的千年发展目标。本文试图对影响菲律宾婴儿和五岁以下儿童死亡率的不同因素进行实证检验,这是使用时间序列数据(1996-2013年)衡量卫生安全的一个指标。这将作为制定政策的基础,以关键和有效地减少死亡人数。选取婴儿和五岁以下儿童的平均死亡率作为内生变量,将人均国内生产总值和自付卫生支出作为外生变量。卫生支出占国内生产总值的总百分比和平均免疫百分比是中介变量。利用结构方程模型,对所有这些变量进行了可能的复杂因果关系检验。结果表明,人均免疫接种和人均国内生产总值对死亡率均有显著影响(β=-)。510, p <组织;β= -1.340,p < . 05)。因此,强烈建议该国严格采取措施提高人均国内生产总值,并应扩大免疫率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors affecting Mortality Rate of infants and under five in the Philippines: An application of Structural Equation Modeling
A gradual decrease of the mortality rate of infants and under five in the Philippines was recorded from 1996 to 2013 (World Bank, 2013). However, this sign of progress still requires additional efforts to achieve the Millennium Development Goal of reducing the risk. This paper attempts to test empirically the different factors affecting mortality rate of infants and under five in the Philippines, an indicator in gauging health security using a time series data (1996-2013).  This will serve as a basis in crafting policies that will critically and efficiently reduce the number of deaths. The average mortality rate of infants and under five was selected as the endogenous variable, Gross Domestic Product per capita and out of the pocket health expenditure were treated as the exogenous variable. Health expenditure total percentage of Gross Domestic Product and average percentage of immunization were the mediating variables. Using structural equation modeling, all these variables were tested for possible complex causality. Result showed that both Average Immunization and Gross Domestic Product per capita significantly affect mortality rate (β=-.510, p<.000; β=-1.340, p<.05). Thus, it is strongly recommended that the country should critically undertake measures to increase Gross Domestic Product per capita and should widen immunization rate.
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