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Characteristics And Empirical Analyses On Factors In The Residents' Consumption Structure Of China

Posted on:2018-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:T T LuoFull Text:PDF
GTID:2359330536476511Subject:Statistics
Abstract/Summary:PDF Full Text Request
Residents' consumption structure not only reflect the preference degree of regional resident consumption as well as the sensitive degree of the residents income and consumer price,it also reflects the residents' quality of life and the regional economic development level.Therefore,this paper studies the change mechanism of Chinese urban residents' consumption structure and the dynamic panel model has very important theoretical and practical significance.The paper first using time series analysis method,building a function of minimum distance between classes about classification,and then determine the classification number according to the curve slope characteristics that in the classification number to research the consumption structure differentiation characteristics of Chinese urban residents in 2015 for urban residents in 31 provinces,municipalities and autonomous regions.Then,use the thought of industrial structure through conceptual model,build the consumption structure measure model,empirically analyzes the Characteristics of empirically of the consumption structure.At the same time studying the rationalization of characteristics of the consumption structure of China.Finally based on panel data,using GMM method to analyze the influence factors of the consumption structure in our country.Research results show that there were great difference in the structure of urban residents in China,nearly two-thirds of the provinces belong to the Midwest where the consumption level below the national average level.The consumption structure in our country is in the development of the third and fourth level phase empirically,is developing gradually to the highest stage,residents' consumption structure also has the very big rise space.From the perspective of physiological rationalization,the residents' consumption structure is reasonable,from the perspective of economic rationalization gradually never reasonable to rational development,but from the perspective of social rationalization,town residents' consumption structure in our country there are unreasonable phenomenon.The empirical results show that the town residents' consumption structure in China are greatly influenced by the consumption habits,food accounts for more than,clothing expenditure proportion as well as transport and communications expenditure proportion compared with urban per capita disposable income has a significant negative impact.And residents' disposable income has significantly positive effects on cultural and educational entertainment spending accounted for,shows that China's urban residents in the case of income increasing more to pursue high quality life,Xiang Shou Xing and developmental data graduallyincrease the proportion of consumption.Based on the above research conclusion,this paper argues that the optimization of the consumption structure in China,from three main aspects:first is to further promote the development of the central and western regions economy,increase the Midwest per capita disposable income,improve the regional consumption structure,to achieve regional balanced development;second it is because of Chinese urban residents' consumption structure are greatly influenced by the consumption habits,should be on the increase of residents' disposable income at the same time,further consummates our country social security mechanism,solve the trouble back at home of residents' consumption,guide residents gradually form a reasonable consumption concept,gradually change the unreasonable consumption habits;Third,we should build a system of values that is positive and dedicated,which will guide the people in pursuit of higher values and promote the upgrading of the development consumption structure.
Keywords/Search Tags:consumption structure, clustering analysis, dynamic panel model
PDF Full Text Request
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