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中国城乡居民食品消费模式及其碳足迹演化特征

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食品系统是重要的温室气体排放源,双碳背景下开展食品消费碳足迹核算对食物系统的可持续发展具有重要意义。为揭示中国城乡居民食品消费模式与碳足迹差异,运用生命周期评价法(LCA)测算了 2000~2021年中国城乡居民食品消费的直接碳排放。从碳足迹(CF)构成角度出发,总结城乡居民人均食品消费碳足迹的年际差异与时序特征,并利用相关性分析与多元线性回归对城乡居民食品消费碳足迹影响因素进行分析。结果表明:①中国城乡居民食品消费结构仍以植物源食品为主,并逐渐向动物源和植物源食品并重的模式转变,在不同类别食品消费上城乡居民的差距在逐渐减少;②中国城乡居民人均食品消费碳足迹从2000~2021年整体呈增长趋势,年均增速为1。4%,其中粮食消费导致的碳足迹最大(22。2%);③现阶段中国城镇居民食品消费CF显著高于农村居民,并呈持续升高趋势。城镇居民植物性食物消费CF增速显著高于动物性食物,农村居民则表现相反;④城乡居民恩格尔系数、人均GDP、人均可支配收入、人口结构等与各类食品消费CF均存在显著的相关性(P<0。05)。通过对中国城乡居民食品消费模式与碳足迹的系统性研究,以期为我国居民食品可持续消费以及食品行业实现碳中和提供有益参考。
Transition of Food Consumption Patterns and Carbon Footprint of Urban and Rural Residents in China
The food system is an important source of greenhouse gas emissions,and the carbon footprint analysis of food consumption under the dual carbon background is of great significance for the sustainable development of the food system.To reveal the differences in food consumption patterns and carbon footprints between urban and rural residents in China,the life cycle carbon emission coefficient method was used to measure the direct carbon emissions of food consumption by urban and rural residents in China from 2000 to 2021.From the perspective of carbon footprint composition,the following main conclusions were drawn:① The structure of food consumption among residents in China shifted from predominantly plant-based to a balanced consumption of both plant-and animal-based foods,reducing the disparity in various food consumption quantities between urban and rural residents.② The per capita carbon footprint from food consumption among Chinese residents exhibited an overall increasing trend from 2000 to 2021,with an average annual growth rate of 1.4%.Grain consumption contributed the most to the carbon footprint(22.2%).③ Currently,urban residents in China demonstrate significantly higher food consumption carbon footprints compared to those of rural residents,and this trend is continuously rising.In urban areas,the carbon footprint of plant-based foods was increasing at a higher rate than that of animal-based foods,while the opposite trend was observed in rural areas.④ Factors such as per capita disposable income,per capita GDP,Engel coefficient,population structure,and various food consumption carbon footprints,as well as per capita food consumption carbon footprints,exhibited significant correlations.Here,we conducted a comprehensive study on the eating habits of urban and rural residents in China,along with the carbon emissions associated with their food consumption,which offer valuable insights that can guide sustainable food consumption practices among Chinese residents and contribute to the achievement of carbon neutrality in the food industry.

carbon footprint(CF)food consumptionurban-rural residentslife cycle assessment(LCA)multiple linear regression

祁闯、孙璇、黄雅丽、潘志勇、陆继来、王国祥、张利民

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南京财经大学食品科学与工程学院,江苏省现代粮食流通与安全协同创新中心,南京 210023

南京财经大学绿色经济发展研究院,南京 210023

南京师范大学环境学院,南京 210023

碳足迹(CF) 食品消费 城乡居民 生命周期评价(LCA) 多元线性回归

2025

环境科学
中国科学院生态环境研究中心

环境科学

北大核心
影响因子:1.913
ISSN:0250-3301
年,卷(期):2025.46(1)