Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
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Article Number | 03013 | |
Number of page(s) | 5 | |
Section | Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization | |
DOI | https://doi.org/10.1051/e3sconf/202123503013 | |
Published online | 03 February 2021 |
Research on Influencing Factors of Export Complexity of Chinese High-tech Industry Based on Big Data Analysis
Department of International Business, Graduate School of Pan-Pacific International Studies, Kyung Hee University, Yongin-Si, Gyeonggi-Do, South Korea
* Corresponding author’s e-mail: chichung@khu.ac.kr
Export trade can measure the economic level of a country, but it can only reflect the amount of exports, but not the quality of exported products and the technical content of exported products. Therefore, domestic and foreign scholars have begun to study the complexity of export technology. The development of big data technology makes it possible to analyze the export complexity using big data analysis technology. With the rapid development of high-tech industries represented by high-end manufacturing, there is more and more research on the export of high-tech industries. Based on the existing research results, this article first introduces the current export profile of high-tech products and explains the concept of export complexity. Then, the flow of big data analysis was sorted out. Finally, this paper theoretically analyzes the influence of industrial agglomeration on industrial export complexity, and uses big data analysis and regression verification. The results show that industrial agglomeration has a significant role in promoting the export complexity of China’s high-tech products.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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