万丹省粮食消费模式的差异

Bohari Bohari, M. Ansori, F. Perdana, Rukman Abdullah
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引用次数: 0

摘要

粮食问题的产生是由于缺乏粮食多样性、粮食价格高企以及饮食文化不支持家庭中充足的营养供应。本研究旨在以万丹省区域类型和万丹省行政区域为基础,分析万丹省人口食物消费模式的差异。研究方法为探索性研究,采用回顾性研究方法,使用二手数据,即2017年万丹省国家社会经济调查(Susenas)。收集的这类数据是关于人口的食品消费,以一份表格的形式列出每件商品的平均食品消费数量,以家庭订购单位人均/周为单位。采用描述性方法对数据进行定量分析。研究结果表明,万丹省人口的食物消费量在区域类型上存在差异,农村家庭的平均食物能量消耗仍然较高,为2404 Kcal,而城市家庭的平均食物能量消耗为2338 Kcal,并且以谷物食物来源为主。摄政区人口的平均能源消耗为2315 - 2489千卡/人均/天,而市区为2294 - 2406千卡/人均/天。结论是,与其他地区相比,Lebak和Pandeglang地区的能源消耗和充足性水平最高,但PPH得分最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disparity in Food Consumption Patterns in Banten Province
Food problems arise from a lack of food diversity, high food prices, and a food culture that does not support an adequate supply of nutrients in the household. This study aimed to analyze the disparity of food consumption patterns of the population of Banten Province based on the typology of the region and the administrative area of Banten Province. The research method was an explorative study with a retrospective study approach using secondary data, namely the National Socio-Economic Survey (Susenas) Banten Province 2017. This type of data was collected on the food consumption of the population presented in the form of a table of the average quantity of food consumption per commodity in household order units per capita / week. Data analysis was carried out quantitatively by descriptive methods. The results of the study, namely the quantity of food consumption of the population of Banten Province, showed a disparity based on regional typology where the average energy consumption of food for households in rural areas was still higher, namely 2404 Kcal compared to urban areas, which was 2338 Kcal and was dominated by food sources of grains. The average energy consumption of the population in the regency area is 2315 - 2489 kcal/capita/day while the urban area is 2294 – 2406 kcal/capita/day. The conclusion is that the districts with the highest levels of energy consumption and adequacy are found in Lebak and Pandeglang districts but have the lowest PPH scores compared to other districts.
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