The impact of food insecurity on health outcomes: empirical evidence from sub-Saharan African countries

被引:30
|
作者
Beyene, Sisay Demissew [1 ]
机构
[1] Arsi Univ, Coll Business & Econ, Dept Econ, Asella, Ethiopia
关键词
Food insecurity; Life expectancy; Infant mortality; Panel data estimations; SSA countries; UNIT-ROOT TESTS; NUTRITION EXAMINATION SURVEY; CROSS-SECTIONAL DEPENDENCE; HIV-INFECTED INDIVIDUALS; LAGRANGE MULTIPLIER TEST; PANEL-DATA; ERROR-CORRECTION; NATIONAL-HEALTH; HETEROGENEOUS PANELS; COINTEGRATION TESTS;
D O I
10.1186/s12889-023-15244-3
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundFood insecurity adversely affects human health, which means food security and nutrition are crucial to improving people's health outcomes. Both food insecurity and health outcomes are the policy and agenda of the 2030 Sustainable Development Goals (SDGs). However, there is a lack of macro-level empirical studies (Macro-level study means studies at the broadest level using variables that represent a given country or the whole population of a country or economy as a whole. For example, if the urban population (% of the total population) of XYZ country is 30%, it is used as a proxy variable to represent represent country's urbanization level. Empirical study implies studies that employ the econometrics method, which is the application of math and statistics.) concerning the relationship between food insecurity and health outcomes in sub-Saharan African (SSA) countries though the region is highly affected by food insecurity and its related health problems. Therefore, this study aims to examine the impact of food insecurity on life expectancy and infant mortality in SSA countries.MethodsThe study was conducted for the whole population of 31 sampled SSA countries selected based on data availability. The study uses secondary data collected online from the databases of the United Nations Development Programme (UNDP), the Food and Agricultural Organization (FAO), and the World Bank (WB). The study uses yearly balanced data from 2001 to 2018. This study employs a multicountry panel data analysis and several estimation techniques; it employs Driscoll-Kraay standard errors (DKSE), a generalized method of momentum (GMM), fixed effects (FE), and the Granger causality test.ResultsA 1% increment in people's prevalence for undernourishment reduces their life expectancy by 0.00348 percentage points (PPs). However, life expectancy rises by 0.00317 PPs with every 1% increase in average dietary energy supply. A 1% rise in the prevalence of undernourishment increases infant mortality by 0.0119 PPs. However, a 1% increment in average dietary energy supply reduces infant mortality by 0.0139 PPs.ConclusionsFood insecurity harms the health status of SSA countries, but food security impacts in the reverse direction. This implies that to meet SDG 3.2, SSA should ensure food security.
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页数:22
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