{"title":"非洲的国民收入和营养不良:快速综述","authors":"M. Sukati","doi":"10.29011/apnc-113.100013","DOIUrl":null,"url":null,"abstract":"Abstract This paper pursues a simple analysis of a static relationship between national income and income distribution, and obesity/overweight \nand undernutrition in African countries. From intuition, a relation between national income (GDP/Capita) and malnutrition is expected. \nCountries that have higher income are expected to have higher prevalence of obesity/overweight. Likewise, countries with higher income \nshould have lower levels of undernutrition. This paper tests this hypothesis using macroeconomic data. The paper also analyses the role \nof income inequality, as measured by the GINI coefficient, as a potential driver of malnutrition. In this case, countries that have high \nlevels of income inequality are expected to have coexistent high levels of both obesity and undernourishment. Results of this analysis \nshow that there is a correlation between income and malnutrition. This relationship is insignificant, with a correlation coefficient of \nless than 50% for both undernourishment and overweight/obesity. The signs are as expected, even when running a simple regression of the \nvariables. Higher national income has a positive relationship with obesity and negative relationship with undernourishment. From the \nregression, only the coefficient on undernourishment is significant at 5% level of significance. No significant relationship was found \nbetween income distribution and malnourishment, even on the extended logistic model. These finding are not realistically surprising. \nHigher income does not guarantee good nutrition, although poorer countries are expected to have high level of undernourishment. Also, \nthere is a friction in the response of undernutrition to growth in GDP. Given the low-income elasticity of demand for food, higher income \nis not expected to be strongly linked to obesity. This could also be an explanation for the low response of malnutrition to income \ninequalities, although this latter relationship needs to be tested further with data sets of longer duration, in a time series approach. \nAs such, it is important to lobby governments to mainstream food and nutrition security in other initiatives that increase national income, \nand to promote direct interventions that reduce the prevalence of undernourishment as part of meeting the Sustainable Development Goals \n(SDGs). This will ensure that high national income translates to reduction in malnutrition prevalence across countries. Keywords Malnutrition; Obesity; Undernourishment; GDP/Capita; GINI Coefficient","PeriodicalId":212257,"journal":{"name":"Advances in Pediatrics and Neonatal Care","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"National Income and Malnutrition in Africa: A Rapid Overview\",\"authors\":\"M. Sukati\",\"doi\":\"10.29011/apnc-113.100013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper pursues a simple analysis of a static relationship between national income and income distribution, and obesity/overweight \\nand undernutrition in African countries. From intuition, a relation between national income (GDP/Capita) and malnutrition is expected. \\nCountries that have higher income are expected to have higher prevalence of obesity/overweight. Likewise, countries with higher income \\nshould have lower levels of undernutrition. This paper tests this hypothesis using macroeconomic data. The paper also analyses the role \\nof income inequality, as measured by the GINI coefficient, as a potential driver of malnutrition. In this case, countries that have high \\nlevels of income inequality are expected to have coexistent high levels of both obesity and undernourishment. Results of this analysis \\nshow that there is a correlation between income and malnutrition. This relationship is insignificant, with a correlation coefficient of \\nless than 50% for both undernourishment and overweight/obesity. The signs are as expected, even when running a simple regression of the \\nvariables. Higher national income has a positive relationship with obesity and negative relationship with undernourishment. From the \\nregression, only the coefficient on undernourishment is significant at 5% level of significance. No significant relationship was found \\nbetween income distribution and malnourishment, even on the extended logistic model. These finding are not realistically surprising. \\nHigher income does not guarantee good nutrition, although poorer countries are expected to have high level of undernourishment. Also, \\nthere is a friction in the response of undernutrition to growth in GDP. Given the low-income elasticity of demand for food, higher income \\nis not expected to be strongly linked to obesity. This could also be an explanation for the low response of malnutrition to income \\ninequalities, although this latter relationship needs to be tested further with data sets of longer duration, in a time series approach. \\nAs such, it is important to lobby governments to mainstream food and nutrition security in other initiatives that increase national income, \\nand to promote direct interventions that reduce the prevalence of undernourishment as part of meeting the Sustainable Development Goals \\n(SDGs). This will ensure that high national income translates to reduction in malnutrition prevalence across countries. Keywords Malnutrition; Obesity; Undernourishment; GDP/Capita; GINI Coefficient\",\"PeriodicalId\":212257,\"journal\":{\"name\":\"Advances in Pediatrics and Neonatal Care\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Pediatrics and Neonatal Care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29011/apnc-113.100013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Pediatrics and Neonatal Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29011/apnc-113.100013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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