摘要
近年来,随着我国居民收入水平的不断提高和餐饮服务业的快速发展,外出用餐成为城乡居民日常消费的重要组成部分。利用CHNS数据,对不同特征的城乡居民外出用餐情况进行总结,并建立双栏模型,分析我国城乡居民外出用餐的可能性和用餐量的影响因素。研究发现,收入水平、家庭规模、家中是否有老人、地区因素对城乡居民外出用餐选择有影响;收入水平、家庭规模、家中是否有孩子、地区因素对城乡居民外出用餐量有影响。因此,食品加工业和餐饮业要积极关注我国城乡居民外出用餐消费情况,以便根据不同消费者的消费意愿提供服务;政府可以据此了解不同特征城乡居民的消费情况,科学制定食品政策,引导居民进行合理消费。
In recent years,with rising income and rapid expansion of the catering industry,Chinese urban and rural residents are increasingly taking dining out as one of their daily dining options.How is the dining out situation of urban and rural residents in China,and what factor is it affected?This paper uses CHNS database to summarize the eating out situation of urban and rural residents with different characteristics,and establishes double-hurdle model to study the influencing factors of the possibility and amount of eating out among urban and rural residents in China.The study has found that income level,family size,whether there are old people in the family,and regional factors have an impact on whether urban and rural residents choose to eat out.Income level,family size,whether there are children in the family,and regional factors have an impact on the amount of meals eaten out by urban and rural residents.Therefore,the food processing industry and the catering industry should pay close attention to the consumption situation of Chinese urban and rural residents,so as to provide services according to consumption willingness of different consumers.On this basis,the government can understand the consumption situation of different urban and rural residents,formulate food policies,and guide residents to conduct reasonable consumption.
作者
李丰
丁圆元
朱瑶瑶
LI Feng;DING Yuanyuan;ZHU Yaoyao(Center for Food Security and Strategic Studies, Nanjing University of Finance and Economics, Nanjing 210003, China)
出处
《南京财经大学学报》
2020年第3期33-41,共9页
Journal of Nanjing University of Finance and Economics
基金
粮食公益性行业科研专项项目“粮食消费环节损失浪费调查评估研究”(201513004-7)
江苏省研究生科研创新计划项目“江苏省高校食堂食物浪费原因分析:基于消费者行为理论”(KYCX18_1284)。
关键词
外出用餐
饮食结构
双栏模型
eating out
dietary structure
double-hurdle model
