The Influential Factors Analysis of China's E-commerce Development by Applying Double-layered Grey Correlation Analysis Model

Abstract

With the development and popularization of internet and computer information technology, the development speed and influence on society of e-commerce has exceeded people’s expectation. By referring to the e-commerce statistics of China from 2010 to 2014, this paper establishes a double-layered grey correlation analysis model in three aspects, which include B2B ecommerce, online retail and cross-border business. After doing separately quantitative analysis to the e-commerce influential factors of each layer, this report obtain the grey correlation degree and the grey correlation sequence of different influential factors. As a result, in the first layer of influential factors, the trading volume of B2B e-commerce has the greatest influence on China's ecommerce transactions; in the second layer, the most influential factor on B2B e-commerce transactions is the revenue size of the B2B e-commerce service providers, the most influential factor on online retail is the volume of express delivery business and the proportion that crossborder B2C account for is the most influential factor on cross-border e-commerce. Finally, based on the analysis of these results, the conclusion of Chinese e-commerce development is provided.