河北农业大学学报（社会科学版）2026，Vol.28Issue(4)：80-91,12.DOI:10.13320/j.cnki.jauhe.2026.0042
城乡居民人均食物消费水足迹驱动因素
Driving Factors of Per Capita Food Consumption Water Footprint among Urban and Rural Residents:Based on an Extended STIRPAT Model
摘要
Abstract
With the development of China's economy and transformations in its demographic structure,residents'food consumption patterns have undergone continuous evolution.Given the substantial variation in water footprints across different food types,shifts in food consumption among urban and rural residents exert distinct impacts on national water resource use.Drawing on food consumption data from 2000 to 2022,this study comprehensively assesses the water footprint associated with urban and rural residents' food consumption and constructs an extended STIRPAT model to identify the key drivers underlying chan-ges in per capita food-related water footprints.The findings indicate that both urban and rural food con-sumption water footprints have exhibited an upward trend;however,persistent disparities in food con-sumption structures continue to result in significant differences in per capita water footprints between ur-ban and rural populations.Population size,affluence level,technological advancement,and food con-sumption patterns all exert varying degrees of influence on per capita food-related water footprints in both urban and rural settings.This analysis of water footprint drivers provides empirical evidence and policy-relevant insights to support the optimization of dietary structures and the transformation of China's food production systems.关键词
膳食结构/食物消费/水足迹/STIRPAT扩展模型/岭回归Key words
dietary structure/food consumption/water footprint/extended STIRPAT model/ridge re-gression分类
管理科学引用本文复制引用
徐若梅,戴舒敏,钱龙,刘燕..城乡居民人均食物消费水足迹驱动因素[J].河北农业大学学报（社会科学版）,2026,28(4):80-91,12.基金项目
安徽省高校人文社科重大项目:"长三角膳食结构升级对安徽省农产品供给驱动的转型研究"(编号:2023AH040127) （编号:2023AH040127）
安徽省社会科学创新发展研究课题:"大食物观引领下安徽粮食安全和耕地安全的协同发展研究"(编号:2024CX055) （编号:2024CX055）
国家自然科学基金面上项目:"农业社会化服务对化学农资减量施用的影响:理论机制、效应识别与政策优化"(编号:72273061). （编号:72273061）
