Study on the Coordination Degree Between FDI and Modern Service Industry Development in Shenzhen

  • Xiangbo ZhuEmail author
  • Guoliang Ou
  • Gang Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11517)


Foreign direct investment (FDI) is an important driving force for economic development. In the period of rapid development and growth of Modern Service Industry (MSI), whether FDI had any impact on it was not clear. Through selecting some indicators form scale, structure and performance, this paper constructs the “FDI-MSI” coordination degree evaluate model. Based on the data of foreign direct investment (FDI) and modern service industry (MSI) collected from Shenzhen, the development coordination degree between foreign direct investment (FDI) and modern service industry (MSI) was estimated in 2010–2018. Research results show that the foreign direct investment and the modern service industry are generally coordinated in Shenzhen, but the overall level is not high. The structure of foreign capital is not reasonable, and the current inefficiency in the use of foreign capital by the service industry is the main reason. In the process of utilizing foreign capital in the future, Shenzhen should strengthen the guidance of foreign investment with the goal of modern service industry development, create a favorable environment for foreign capital to flow into modern service industry, and promote the coordinated development of foreign capital utilization and modern service industry.


Shenzhen FDI Modern service industry Coordination degree 



This research was supported by Humanities and Social Sciences Youth Project of Hubei Provincial Department of Education (No. 17Q065), Humanities and Social Sciences Annual Project of Shenzhen Polytechnic (No. 602930239), Soft Science research project of Technology Bureau of Yichang (No. A18-30305), 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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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Shenzhen PolytechnicShenzhenPeople’s Republic of China
  2. 2.China Three Gorges UniversityYichangPeople’s Republic of China

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