Impact of e-Commerce on Information Economy Based on Big Data Analysis

Abstract

This paper mainly studies the impact of e-commerce on information economy based on big data analysis. With the help of massive data obtained in the era of big data, this paper analyzes the characteristics of economic network of urban agglomeration, focusing on the growth effect of economic network of urban agglomeration. Firstly, this paper selects CPI index as the representative of information economy influencing factors, and uses ASPI index published by Alibaba Research Institute and CPI historical data published by National Bureau of statistics as indicator variables reflecting the changes of online and offline commodity prices. This paper uses dynamic correlation model to analyze the volatility spillover effect between the two price indexes. The results show that: Although there are significant volatility spillover effects between online and offline commodity prices, the impact of online commodities on offline commodity prices is greater, which indicates that the current CPI statistical system does not include online commodity prices into CPI basket. The empirical analysis of the dynamic correlation coefficient shows that CPI index can be used as a representative factor to study the impact of e-commerce on the information economy, and the two kinds of indexes show an independent development trend and directly affect the authenticity and accuracy of the information economy.