非洲的国民收入和营养不良:快速综述

M. Sukati
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摘要

摘要本文对非洲国家国民收入和收入分配与肥胖/超重和营养不良之间的静态关系进行了简单分析。从直觉上看,国民收入(GDP/人均)和营养不良之间的关系是可以预期的。收入较高的国家肥胖/超重的患病率预计也较高。同样,高收入国家的营养不良水平也应该较低。本文利用宏观经济数据对这一假设进行了检验。本文还分析了收入不平等(以基尼系数衡量)作为营养不良潜在驱动因素的作用。在这种情况下,收入不平等程度高的国家预计会同时存在高水平的肥胖和营养不良。分析结果表明,收入与营养不良之间存在相关性。这种关系不显著,营养不良和超重/肥胖的相关系数均小于50%。即使在对变量进行简单的回归时,这些迹象也是预期的。较高的国民收入与肥胖呈正相关,与营养不良呈负相关。从回归来看,只有营养不良系数在5%的显著水平上显著。收入分配和营养不良之间没有显著的关系,即使在扩展逻辑模型上也是如此。这些发现实际上并不令人惊讶。高收入并不能保证良好的营养,尽管较贫穷的国家预计会有高水平的营养不良。此外,营养不良对GDP增长的反应也存在摩擦。考虑到低收入者对食物需求的弹性,预计高收入与肥胖之间不会有太大联系。这也可以解释营养不良对收入不平等的低反应,尽管后一种关系需要用更长的持续时间的数据集以时间序列方法进一步检验。因此,重要的是要游说各国政府将粮食和营养安全纳入其他增加国民收入的举措的主流,并促进减少营养不良发生率的直接干预措施,作为实现可持续发展目标的一部分。这将确保高国民收入转化为各国营养不良发生率的降低。关键词营养不良;肥胖;营养不良;国内生产总值/人;基尼系数
本文章由计算机程序翻译,如有差异,请以英文原文为准。
National Income and Malnutrition in Africa: A Rapid Overview
Abstract This paper pursues a simple analysis of a static relationship between national income and income distribution, and obesity/overweight and undernutrition in African countries. From intuition, a relation between national income (GDP/Capita) and malnutrition is expected. Countries that have higher income are expected to have higher prevalence of obesity/overweight. Likewise, countries with higher income should have lower levels of undernutrition. This paper tests this hypothesis using macroeconomic data. The paper also analyses the role of income inequality, as measured by the GINI coefficient, as a potential driver of malnutrition. In this case, countries that have high levels of income inequality are expected to have coexistent high levels of both obesity and undernourishment. Results of this analysis show that there is a correlation between income and malnutrition. This relationship is insignificant, with a correlation coefficient of less than 50% for both undernourishment and overweight/obesity. The signs are as expected, even when running a simple regression of the variables. Higher national income has a positive relationship with obesity and negative relationship with undernourishment. From the regression, only the coefficient on undernourishment is significant at 5% level of significance. No significant relationship was found between income distribution and malnourishment, even on the extended logistic model. These finding are not realistically surprising. Higher income does not guarantee good nutrition, although poorer countries are expected to have high level of undernourishment. Also, there is a friction in the response of undernutrition to growth in GDP. Given the low-income elasticity of demand for food, higher income is not expected to be strongly linked to obesity. This could also be an explanation for the low response of malnutrition to income inequalities, although this latter relationship needs to be tested further with data sets of longer duration, in a time series approach. As such, it is important to lobby governments to mainstream food and nutrition security in other initiatives that increase national income, and to promote direct interventions that reduce the prevalence of undernourishment as part of meeting the Sustainable Development Goals (SDGs). This will ensure that high national income translates to reduction in malnutrition prevalence across countries. Keywords Malnutrition; Obesity; Undernourishment; GDP/Capita; GINI Coefficient
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