Based On Quantile Regression Of China’s Consumer Contribution Rate Research

Has been consumer issues is academia cause for great concern, and verycontroversial, especially in the2011final consumption contribution to GDP exceedsthe investment contribution rate caused scholars discuss. Scholars from differentangles in a strong policy to seek to increase consumption, in the end what indicatorscan measure consumption, this corresponds to what consumption theory, what themost appropriate research methods and so are the focus of scholars. Than lessconsumer contribution rate study results, however, are rarely the contribution rate tothe consumer as a research perspective, in this regard, even if the relevant research,only qualitative Analysis. Due to many factors and consumer demand, so theestablishment of the index system are not the same, I believe that the researchperspective, appropriate research methods, the selection of indicators exist to furtherexplore space.A national economic development need to rely on the "Troika" pull ofconsumption, investment, exports, final consumption expenditure occupies animportant part of household consumption and government consumption, Theconsumer contribution rate is a reflection of consumer spending on GDP for that yearmadecontribution, that is, the the consumer contribution rate=householdconsumption expenditure increment/expenditure approach GDP increment indicators,household consumption and expenditure approach, GDP must be turned into acomparable price. Draw on existing research results based on the integrated use oftheoretical and empirical analysis method of combining first contribution rate ofconsumption for the years of1979-2011residents descriptive statistics, to reveal thestatus of China’s current consumer contribution rate, followed by the establishment ofthe corresponding index system, focus on the age structure of our residents, so thechild dependency ratio and the old age dependency ratio is the article focuses on twoindicators. Then use quantile regression to make empirical analysis, this part is thefocus of this article, the conclusion that the age structure of our residents agingconsumer a great impact on the conclusions of the contribution rate, while doing thisanalysis, have out of urban residents per capita disposable income growth rate of the consumer contribution to the negative role, while the growth rate of per capita netincome of rural residents has a positive influence. Finally, according to the results ofthe analysis put forward reasonable countermeasures and suggestions to improve thecontribution rate of consumption.