基于OPLS回归的流通业对居民消费影响的实证研究  

Empirical Research on the Influence of Distribution Industry upon Consumption Based on Orthogonal Partial Least Squares Regression

作　　者：李骏阳[1] 张国山[1] 

机构地区：[1]上海大学经济学院,上海200444

出　　处：《北京工商大学学报（社会科学版）》2014年第6期22-27,共6页JOURNAL OF BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY:SOCIAL SCIENCES

基　　金：国家社会科学基金项目"开发我国农村消费市场的流通视角"(11BJY112)

摘　　要：为克服目前国内关于流通对消费作用研究的一些不足之处,文章利用2003—2012年的流通业相关指标、居民人均收入水平和居民人均消费支出的数据,引入正交偏最小二乘法回归模型,对影响居民消费支出的流通因素进行了深入研究,从流通业规模、流通企业效率以及流通业组织化三个层面定量描述了流通发展对居民消费支出的影响。模型结果表明,各项指标均对消费支出有着积极的促进作用,发展流通业能有效拉动居民消费。Due to the defects in the current domestic research on the influence of distribution upon consumption, this paper analyzes the related indicators affecting consumption based on the data of resident income, per capita consumption and indicators related to distribution from 1995 to 2011. Moreover, by establishing the Orthogonal Partial Least Squares Regression （OPLS） model, it makes the quantitative description of the equilibrium relationship between distribution development and consumption from three aspects： the scale of distribution, the efficiency of distribution enterprises and the organization degree of distribution industry. The research model shows that all the indicators have a positive effect in promoting the consumer spending and the de- velopment of distribution industry can effectively boost the consumer spending.

关 键 词：流通业 居民消费支出 正交偏最小二乘法(OPLS) 

分 类 号：F724.1[经济管理—产业经济] F126