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2023年中央一号文件首次提出“提倡健康饮食”,识别中国居民的健康饮食状况是首要任务。本文从结构差异和异质标准的视角提出了一个新的健康饮食评价体系,通过测算基于膳食推荐标准的食物消费结构相似度(CSI),评价了1981—2020年中国城乡居民的健康饮食状况,并识别了食物政策的最佳干预窗口期。研究发现,城乡居民的健康饮食状况呈现伴随经济发展水平变化的阶段性特征,在常态时期,城镇居民的健康饮食水平先逐渐优化而后又逐步恶化,从营养改善阶段发展到营养失衡阶段;农村居民的健康饮食水平不断提高,但发展阶段明显滞后于城镇居民,仍处于营养改善过程。食物政策的最佳干预窗口期是存在的,“十四五”结束时约2/3的省份进入干预窗口期,如果能在窗口期内及时对农村居民的膳食结构进行“未雨绸缪”式的政策干预,那么农村居民有可能避免经历城镇居民从营养改善到营养失衡的转折性发展过程。
Abstract:The first issue of the Central Document in 2023 introduced the concept of “promoting healthy diets”,highlighting the significance of effectively assessing the dietary status of Chinese residents.This study proposes a novel evaluation framework for healthy diets from the perspectives of structural similarity and heterogeneous criteria.By calculating the Consumption Similarity Index(CSI) of food based on dietary recommendations, the study evaluates the dietary status of urban and rural residents in China from 1981 to 2020 and identifies the optimal intervention window for food policies.Research has discovered that the levels of healthy diet in urban and rural residents exhibit phased characteristics that align with the stages of economic development.During normal times, the levels of healthy diet among urban dwellers first gradually enhance but subsequently deteriorate over time, transitioning from a stage of nutritional improvement to a stage of nutritional imbalance.On the other hand, the levels of healthy diet among rural dwellers are consistently improving, but their developmental stage is significantly behind that of urban dwellers, remaining within the stage of nutritional improvement.An optimal window of intervention for food policies does exist.By the end of the “14th Five-Year Plan”,approximately two-thirds of the provinces have entered this intervention period.If policy interventions can be proactively implemented within this window to adjust the dietary structure of rural dwellers, it is possible for them to circumvent the transformative development journey from nutritional improvement to nutritional imbalance, which the urban dwellers have experienced.
[1]YU X.Meat consumption in China and its impact on international food security:status quo,trends,and policies[J].Journal of Integrative Agriculture,2015(6):989-994.
[2]郑志浩,高颖,赵殷钰.收入增长对城镇居民食物消费模式的影响[J].经济学(季刊),2016,15(1):263-288.
[3]ZHENG Z,HENNEBERRY S R,ZHAO Y,et al.Predicting the changes in the structure of food demand in China[J].Agribusiness,2019(35):301-328.
[4]SPRINGMANN M,CLARK M,MASON-D’CROZ D,et al.Options for keeping the food system within environmental limits[J].Nature,2018,562(7728):519.
[5]WILLETT W,ROCKSTR?M J,LOKEN B,et al.Food in the Anthropocene:the EAT-Lancet Commission on healthy diets from sustainable food systems[J].The Lancet,2019,393(10170):447-492.
[6]樊胜根,龙文进,冯晓龙,等.联合国食物系统峰会的中国方案[J].农业经济问题,2022(3):4-16.
[7]国家卫生健康委疾病预防控制局.中国居民营养与慢性病状况报告(2020年)[M].北京:人民卫生出版社,2022.
[8]中国营养学会.中国居民膳食指南科学研究报告(2021)[M].北京:人民卫生出版社,2022.
[9]POPKIN B M.The nutrition transition and obesity in the developing world[J].The Journal of Nutrition,2001,131(3):871-873.
[10]翟凤英,王惠君,杜树发,等.中国居民膳食结构与营养状况变迁追踪[J].医学研究杂志,2006(4):3-6.
[11]何宇纳,房玥晖,夏娟.中国膳食平衡指数的修订:DBI_16[J].营养学报,2018,40(6):526-530.
[12]STOOKEY J D,WANG Y,GE K,et al.Measuring diet quality in China:the INFH-UNC-CH diet quality index[J].European Journal of Clinical Nutrition,2000,54(11):811-821.
[13]何宇纳,翟凤英,杨晓光,等.修订中国膳食平衡指数[J].营养学报,2009,31(6):532-536.
[14]ZHOU Z,HU W,LI M,et al.Development and validation of a new model of desirable dietary pattern (N-DDP) score for Chinese diets[J].Public Health Nutrition,2014,17(3):519-528.
[15]LIU M,MCNAUGHTON S A,HE Q,et al.Longitudinal trajectories of diet quality and subsequent mortality among Chinese adults:results from the China health and nutrition survey 1997-2015[J].International Journal of Behavioral Nutrition and Physical Activity,2021,18(1):1-11.
[16]封志明,史登峰.近20年来中国食物消费变化与膳食营养状况评价[J].资源科学,2006(1):2-8.
[17]李国景,陈永福,杨春华.收入增长、户籍地差异与营养消费:基于进城农民工家庭的研究[J].农业技术经济,2018(10):66-76.
[18]MIN S,HOU L,HERMANN W,et al.The impact of migration on the food consumption and nutrition of left-behind family members:evidence from a minority mountainous region of southwestern China[J].Journal of Integrative Agriculture,2019,18(8):1780-1792.
[19]田旭,黄莹莹,钟力,等.中国农村留守儿童营养状况分析[J].经济学(季刊),2018,17(1):247-276.
[20]李丹,常莹.理想膳食模式(DDP):介绍一种评价膳食营养水平的新方法[J].国外医学(卫生学分册),1992(5):282-285.
[21]何宇纳,王惠君,房玥晖,等.中国精简膳食质量评分[J].卫生研究,2021,50(2):198-204.
[22]SCHMIDHUBER J,TRAILL W B.The changing structure of diets in the European Union in relation to healthy eating guidelines[J].Public Health Nutrition,2006,9(5):584-595.
[23]樊福卓.一种改进的产业结构相似度测度方法[J].数量经济技术经济研究,2013,30(7):98-115.
[24]徐金红,王煜婷.长三角地区产业结构相似性研究[J].海峡科学,2022(2):88-91,100.
[25]全世文,张慧云.中国食物消费结构的收敛性研究[J].中国农村经济,2023(7):56-79.
[26]刘建平,程锦泉,彭朝琼,等.理想膳食模式评分法(DDP)评价深圳市劳务工膳食营养状况[J].中国热带医学,2012,12(4):432-435.
[27]中国营养学会.中国居民膳食指南(2022)[M].北京:人民卫生出版社,2022.
[28]BAI J,ZHANG C,WAHL T,et al.Dining out,the missing food consumption in China[J].Applied Economics Letters,2016,23(15):1084-1087.
[29]中国农业大学全球食物经济与政策研究院(AGFEP),浙江大学中国农村发展研究院(CARD),南京农业大学国际食品与农业经济研究中心(CIFAE),等.中国与全球食物政策报告[R].北京:全球食物经济与政策研究院,2021.
[30]ZHU W,CHEN Y,HAN X,et al.How does income heterogeneity affect future perspectives on food consumption?Empirical evidence from urban China[J].Foods,2022,11(17):2597.
[31]HAN X,GUO Y,XUE P,et al.Impacts of COVID-19 on nutritional intake in rural China:panel data evidence[J].Nutrients,2022,14(13):2704.
[32]陈志钢,詹悦,张玉梅,等.新冠肺炎疫情对全球食物安全的影响及对策[J].中国农村经济,2020(5):2-12.
(1)使用能量单位(千卡/人/天)作为统一单位使不同食物消费量之间可以进行加和运算。1千卡=4.186 8千焦。
(2)根据三角函数求导法则,dcos■。
(3)1千卡=4.186 8千焦。
(4)根据中国国家统计局对于八大经济区域的划分标准:东北地区包括辽宁、吉林和黑龙江;北部沿海包括北京、天津、河北和山东;东部沿海包括上海、江苏和浙江;南部沿海包括福建、广东和海南;黄河中游地区包括山西、内蒙古、河南和陕西;长江中游地区包括安徽、江西、湖北和湖南;西南地区包括广西、重庆、四川、贵州和云南;西北地区包括西藏、甘肃、青海、宁夏和新疆。台湾省、香港特别行政区和澳门特别行政区因数据缺失而暂不分析。
(5)比如,东北地区居民的谷物和肉类消费量较高;北部沿海地区居民具有华北地区的饮食习惯,以鲁菜为主;东部沿海和长江中游地区居民的饮食口味偏淡偏甜,以上海菜和淮扬菜系为主;南部沿海地区居民饮食清淡,消费水产品和禽类较多;黄河中游地区居民喜好面食;西南地区居民喜好辣椒,以川渝菜系和云南菜系为主;西北地区居民的牛羊肉和谷物消费量高。
基本信息:
DOI:10.13856/j.cn11-1097/s.2024.03.005
中图分类号:R151
引用信息:
[1]朱文博,全世文,杨鑫.中国城乡居民健康饮食评价研究[J].世界农业,2024,No.539(03):54-67.DOI:10.13856/j.cn11-1097/s.2024.03.005.
基金信息:
中国社会科学院创新工程项目“中国居民食物消费质量评价”(2024NFSB09);中国社会科学院数据库专项资助项目“中国居民食物消费与营养数据库”(2024SJK009);中国社会科学院“青启计划”资助项目“中国居民食物消费质量评价及优化对策研究”(2024QQJH109)
2024-03-10
2024-03-10