Abstract
With the advent of big data, the traditional way of service trade has not meet the needs of the development of international trade. Therefore, we need to use means of big data when you trade and analyze factors affecting the development of service trade in one country to optimize the structure of service trade. Moreover, the efficiency and quality of service trade can also be improved. This article selects the Shandong province service trade structure optimization as the research object and analyze the impact factors that affects the structural optimization of service trade in Shandong province under the era of big data. The grey correlation analysis comprehensively analyze various factors and the connection degree of relative index of the service trade structure optimization. Grey correlation analysis concluded that the level of science and technology, human capital has the highest correlation with the relative index of service trade structure optimization. Therefore, we should promote the optimization and upgrading of service trade structure and continuously improve the service trade competitiveness in Shandong province by increasing the investment of scientific research and education funds to improve the market openness.
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Li, G. (2020). Structural Optimization of Service Trade Under the Background of Big Data. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_102
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DOI: https://doi.org/10.1007/978-981-15-2568-1_102
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