In 2013, Chinese president Xi Jinping proposed the concept of “One Belt and One Road” economic cooperation. “The Belt and Road Initiative (B&R)” is the short of “The Silk Road Economic Belt” and the “21st-century Maritime Silk Road,” which has got a series of remarkable achievements and worldwide attentions in past five years such as Asian Infrastructure Investment Bank, China–Pakistan Economic Corridor, B&R Forum for International Cooperation, etc. Especially, cross-border EC has greatly strengthened the trade links between countries along the way, which is a rare chance for Chinese Export-oriented Cross-border EC’s rapid growth. Thus, the authors take DHgate.com as a typical example to do a big data analysis. This chapter analyzes vast data from 2013 to 2017 about seven kinds of commodities including Fashion accessories, Jewelry, Sports & Outdoors, Security & Surveillances, Car accessories, Watches, and Hair & Styling by using data mining related software and algorithms. The authors do some monthly sale charts and find a few counter-intuitive but useful conclusions such as by taking association analysis, the study shows that sports products and jewelry products have strong association rules. In addition, for potential products (such as Fashion accessories and Jewelry), although their sales have a certain shock, the overall selling line keep rising. It is possible to put forward some practical suggestions for Chinese Export-oriented Cross-border EC that actively respond to the One Belt One Road Initiative based on these analysis results.
We thank the other colleagues of the Management and Economics College of Tianjin University for their very useful suggestions, which greatly helped us to do this research. The DHgate.com also provided an opening environment for us to fetch the data and view comments.
Wei, X., Wei, Y., Chen, P., Fan, C., Luo, H., Zhao, Q. and Kong, Y. (2019), "The Analysis of “Online Silk Road” from the Perspective of Big Data", The New Silk Road Leads through the Arab Peninsula: Mastering Global Business and Innovation, Emerald Publishing Limited, Leeds, pp. 97-114. https://doi.org/10.1108/978-1-78756-679-820191007
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