Analyzing the Effects of Cross-Border E-Commerce Industry Transfer Using Big Data

Abstract

With the increasing diversification and personalization of consumer demand in the international market, coupled with the rapid development of the internet, the many advantages of cross-border e-commerce as an emerging trading model have become more apparent. When the hybrid system synergy model is based on the effective combination of the systems, the overall performance is greater than the sum of various elements’ simple superposition. As the upstream chain of modern logistics, cross-border e-commerce requires its virtual characteristics to develop in the direction of informationization, automation, and intelligence. Only when they are interdependent and mutually promoted can they achieve greater synergy. The regional difference measurement theory is often used to measure the effect of cross-border e-commerce industry transfer. First, build a cross-border e-commerce industry transfer effect measurement model to analyze the development level of China’s cross-border e-commerce, for example, the measurement model of commercial industry transfer effects from 2001 to 2016. It is mainly because the development of modern logistics lags behind cross-border e-commerce, resulting in the inability of cross-border e-commerce and modern logistics to form an orderly coupling in the system structure and function. Therefore, to better promote the coordinated development of cross-border e-commerce and modern logistics, it is necessary to stimulate the functions of various subsystems and promote the synergy and deep integration of multiparty entities such as government, enterprises, and industry associations.