烟台、兰州、新乡、九江四市城市居民家庭食材及来源地调查数据集(2020)

Dataset on Household Food Ingredients and Source Areas of Urban Residents in Yantai,Lanzhou,Xinxiang,and Jiujiang Cities of China(2020)

在双循环新发展格局的视野中,我国粮食供应对外依赖程度上升,提高我国城市食品供给的自足能力,成为缓解我国食品供给系统弹性不足的关键。鉴于各地域城市居民的饮食结构存在显著差异,从全球化角度解析城市居民食材的本地供应比重及其地域差异成为亟待补充的课题。为此,结合现有相关研究于2020年4月向烟台、兰州、新乡、九江四市的千余户家庭发放线上问卷,最后回收有效问卷752份。问卷内容涉及四市居民的家庭基本情况、不同食材的消耗量、食材来源地与影响居民购买食材的因素四项内容,最后汇总得到烟台、兰州、新乡、九江四市城市居民家庭食材及来源地调查数据集。该数据集内容包括:(1)2019年甘肃、河南、江西、山东四省食材进口数据;(2)四市家庭食谱调研问卷汇总表;(3)四市居民家庭社会经济特征;(4)四市居民的人均食材消耗;(5)四市食材需求本土化、全球化程度及变异系数;(6)影响居民购买食材的因素。数据集存储为.xlsx格式,由1个文件组成,数据量为209 KB。

China’s new dual circulation policy has increased the country’s dependence on food supplies from foreign countries,and improving the self-sufficiency of the urban food supply is key to alleviating the insufficient elasticity of China’s food supply system.Given the significant differences in the dietary structures of urban residents across different regions,analyzing the proportions of local supplies and the regional differences in urban residents’food ingredients from a global perspective has become an urgent.To this end,in April 2020,online questionnaires based on existing relevant research were distributed to more than one thousand households in the cities of Yantai,Lanzhou,Xinxiang,and Jiujiang;752 valid completed questionnaires were collected.The questionnaire covers four aspects:residents’basic household situations,consumption of different ingredients,sourcing of ingredients,and factors affecting residents’purchase of ingredients.Finally,a survey dataset of household ingredients and source areas for urban residents in Yantai,Lanzhou,Xinxiang,and Jiujiang was compiled.The content of this dataset includes:(1)food ingredient import data from Gansu,Henan,Jiangxi,and Shandong provinces in 2019;(2)a summary table of the household recipe survey questionnaire in four cities;(3)household socioeconomic characteristics in the four cities;(4)per capita food consumption in the four cities;(5)degree of localization and globalization and coefficient of variation of food demand in the four cities;and(6)factors affecting residents’purchase of food ingredients.The dataset is stored in.xlsx format,consisting of a single file with data size of 209 KB.