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Comprehensive Evaluation Of E-commerce Development Level And Its Impact On The Number Of E-shops

Posted on:2019-07-18Degree:MasterType:Thesis
Country:ChinaCandidate:S S ZhangFull Text:PDF
GTID:2439330596963505Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
E-commerce has many advantages such as convenient transaction,low cost and high efficiency.While e-commerce provides convenient services for people,it has also greatly contributed to the employment of various industries in various regions,helping the popula-tion in poverty-stricken areas to lift poverty and promote regional economic development.Therefore,it is of great practical significance to comprehensively evaluate the development level of e-commerce in various regions.The development of e-commerce is influenced by multiple factors,and there is overlapping information between these data.Principal compo-nent analysis can deal with many indicators and is widely used in comprehensive evaluation.The specific research work mainly includes the following contents:(1)Construction of an e-commerce development level indicator system.This paper first introduces the influencing factors of the development of some e-commerce.Through the principal component analysis,23 factors affecting the development level of e-commerce are selected,and the index system of e-commerce development level evaluation is constructed.(2)Comprehensive evaluation of e-commerce development level.Based on the 23 indi-cators data of the development of e-commerce in each province in 2016,the traditional prin-cipal component analysis method is used to evaluate the development level of e-commerce.Then,the traditional principal component analysis data processing will eliminate the lim-itations of inter-indicator variation information and introduce improved Principal compo-nent analysis method combined with clustering method to comprehensively evaluate the de-velopment level of e-commerce.Finally,factor analysis and regression analysis are used to analyze the factors affecting the development of e-commerce.Get the comprehensive s-cores and ranking results of e-commerce development level,Guangdong,Shanghai,Beijing,Jiangsu,Zhejiang ranked the top five,the lowest ranked is Tibet.In addition,e-commerce development environment,per capita preparation and enterprise participation factors play an important role in the development level of e-commerce.(3)Research on the relationship between the number of e-commerce shops and the de-velopment level of e-commerce and its influencing factors.Firstly,a mathematical model of the comprehensive scores of the number of e-shops and e-commerce development level is constructed.Then,a gray correlation analysis is carried out between the number of e-shops and the influencing factors of e-commerce development level.The results show that the level of e-commerce development has a positive impact on the number of e-shops,and the courier industry revenue and online retail sales are highly correlated with the number of e-shops.
Keywords/Search Tags:E-commerce, grey relational analysis, influencing factors, cluster analysis, principal component analysis
PDF Full Text Request
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