中国城镇居民消费函数模型—基于社会嵌入性视角的分析

The Consumption Function Model of Chinese Urban Residents—Based on the Perspective of Social Embeddedness Analyzing

论文基于相对收入消费理论的影响因素、社会嵌入性因素和多层统计模型,建立了社会嵌入性视角下,中国城镇居民消费函数影响因素模型。解决了居民消费影响因素的作用路径问题以及社会嵌入性变量对居民消费支出影响的精确性问题。利用全国31个省级行政区的面板数据,实证分析了城镇居民人均当期消费支出的影响因素。结果表明,在整体差异中,有28.79%是由社会嵌入性因素的不同所造成。消费欲望、消费习惯、外贸依存度和城市化率均为正向直接影响因素;另外,地区的产值结构对当期消费支出有间接促进作用。因此在分析居民消费结构时需要考虑社会嵌入性因素。

This essay, based on the influences of relative income consumption theory, social embedded fac-tors and multilevel statistical model, establishes a model of the influences of the consumption function of Chinese urban residents from the perspective of the social embeddedness. It solves problems of the influential path of residents’ consumption and the accuracy of how embedded variables affect residents’ spending. Using the panel data from 31 provinces, this paper empirically analyzes the influences of current expenditure of per urban residents. The results show that 28.79% of the differences are caused by the social embeddedness. Consumption desire, consumption habits, foreign-trade dependence and urbanization rate are all positive and direct factors;in addition, the structure of regional output value has indirect and positive effect. So when analyzing consumption structure, we should consider social embeddedness.