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Spatial Distribution of Food Poverty Incidence in Juba Town: A geo-statistical Assessment

机译:朱巴镇粮食贫困发生率的空间分布:地统计评估

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Food and nutrition security survey based on a representative sample of the population of Juba Town was conducted from October to November 2010. The survey covered four localities: Gudele, Juba na Bari, Kator and Munuki. Daily calorie intake using a one day 24-hour diet recall varied between 500 to 3,500 Kcal as a function of monthly income. Spatial distribution of food poverty incidence as well as daily calorific values were geo-statistically analyzed using a GS+TM Version 9 software. Results showed that about 13.2% of the households with incomes less than 500 SDG/month were severely food insecure with constant hunger,41.5% of the households with incomes between 350-800 SDG/month were food insecure with moderate hunger; 35.8% of the households with incomes between 850-1850 SDG/month were food insecure but without hunger; and 9.4% of the households with incomes between 1,850 and 4,000 SDG/month were food secure. Isotropic variogram of food poverty incidence showed a 46.6% moderate spatial dependency with a relatively low correlation coefficient of r2=0.15 and a range A0 of 8.8 km suggesting a wide radius of even food poverty levels across much of Juba Town. Meanwhile the estimated daily per capita calorific values also showed moderate spatial dependency of 60.3% and a small range A0at 2.3 km. Food poverty incidence at low correlation coefficient r2=0.02 positively correlated with family size and negatively correlated at r2=0.17 with the per capita food consumption. Monetary indicator was used to assess food poverty with the Gini coefficient at 0.32. This unequal income distribution suggested the vulnerability of most households to food insecurity. However, most low income households with less freedom of choice easily compensated their dietary diversity and calorific values through appropriate food preparation methods.
机译:2010年10月至11月进行了以朱巴镇人口代表性样本为基础的粮食和营养安全调查。该调查涵盖了四个地区:古德勒,朱巴纳巴里,卡托和穆努基。根据一天的收入,使用一天24小时饮食回想的每日卡路里摄入量在500至3500 Kcal之间变化。使用GS + TM版本9软件对食物贫困发生率的空间分布以及每日热量值进行了地理统计分析。结果显示,每月收入低于500 SDG的家庭中,约有13.2%的人口缺乏饥饿而严重的粮食不安全;每月收入在350-800 SDG之间的家庭中,有41.5%的饥饿度为中度的粮食不安全;每月收入在850-1850 SDG之间的家庭中有35.8%的粮食不安全但没有饥饿。每月收入在1,850到4,000 SDG之间的9.4%的家庭有粮食安全。粮食贫困发生率的各向同性方差图显示出46.6%的中等空间依赖性,相关系数r2 = 0.15相对较低,A0范围为8.8 km,表明朱巴镇大部分地区的粮食贫困水平分布范围很广。同时,估计的每日人均发热量还显示了60.3%的中等空间依赖性和2.3 km的小范围A0。低相关系数r2 = 0.02时的食物贫困发生率与家庭规模呈正相关,而r2 = 0.17时的人均粮食消费量则呈负相关。货币指标用于评估食品贫困,基尼系数为0.32。这种不平等的收入分配表明大多数家庭容易受到粮食不安全的影响。但是,大多数低收入家庭的选择自由较少,可以通过适当的食物制备方法轻松地补偿其饮食多样性和热值。

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