Abstract
In the process of industrial structure adjustment and economic development model innovation, the role and status of modern service industry are becoming increasingly important. Shenzhen Municipal People’s Government had paid great attention on the development of modern service industry. On one hand, modern service industry has been quite large and mature, and on the other hand, there are problems of insufficient in total volume, relatively narrow industry field and somehow inadequate industry structure. Based on rational choosing and building an influencing indicator system, this paper tries to analysis the development of modern service industry in Shenzhen. Through using methods such as cointegration analysis, Granger causality test and multiple linear regression, combined with the relevant data collected, we found that the foreign direct investment and the investment level of modern service industry are the key factors. Therefore, this paper suggested that the development of modern service industry in Shenzhen might improve on expanding foreign investment, strengthening the investment level of modern service industry, and upgrading professional talents.
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Acknowledgements
This research was supported by Humanities and Social Sciences Annual Project of Shenzhen Polytechnic (No. 602930239, No. 2212s3080011), Innovative Engineering 2019 Annual Project of Shenzhen Polytechnic (No. cxgc2019b0004), Science and Technology Innovation Strategy Project 2020 Annual Project of Guangdong Province (No. pdjh2020b1185), Humanities and Social Sciences Youth Project of Hubei Provincial Department of Education (No. 17Q056), Soft Science research project of Hubei Provincial Department of Education (No. 2018ADC162), Open fund project of Hubei Provincial Humanities and Social Sciences Key Research Base–Reservoir Immigration Research Center (No. 2016KF11).
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Xiangbo, Z., Guoliang, O., Yi, L., Zhigang, Z. (2020). Case Study on Key Influencing Factors of Modern Service Industry Development. In: Ferreira, J.E., Palanisamy, B., Ye, K., Kantamneni, S., Zhang, LJ. (eds) Services – SERVICES 2020. SERVICES 2020. Lecture Notes in Computer Science(), vol 12411. Springer, Cham. https://doi.org/10.1007/978-3-030-59595-1_1
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