Abstract
This paper selects the data of big data industry in China’s “Guangzhou Development Zone Big Data Industrial Park” and “Zhaoqing Big Data Cloud Service Industrial Park” from 2014 to 2018, uses the improved knowledge production function to establish an OLS model, and compares the impact of MAR and Jacobs external aggregation on the R&D input and patent output in Guangzhou and Zhaoqing. It is found that: (1) MAR externality is not conducive to the technological innovation of the two cities, and has a stronger negative effect on innovation in Zhaoqing; Jacobs externality can actively promote the innovation of the two cities, and has a stronger positive effect on innovation in Guangzhou. (2) In the impact of Jacobs externality on innovation output of the two cities, R&D plays a part of intermediary effect, and the effect on Guangzhou is stronger; in the impact of MAR externality on innovation output of the two cities, R&D only plays a part of negative intermediary effect in Zhaoqing. The conclusions show that the MAR and Jacobs agglomeration in big data industry all play more effective roles in promoting technological innovation in economically developed cities.
Highlights
The basis of big data industry is cloud computing, internet of things and other key technologies, which is the development direction of scientific and technological innovation in the new era
(2) In the impact of Jacobs externality on innovation output of the two cities, R&D plays a part of intermediary effect, and the effect on Guangzhou is stronger; in the impact of MAR externality on innovation output of the two cities, R&D only plays a part of negative intermediary effect in Zhaoqing
This paper focuses on the difference between the specialization and diversity externalities of big data industry in the two cities on the role of local technological innovation
Summary
The basis of big data industry is cloud computing, internet of things and other key technologies, which is the development direction of scientific and technological innovation in the new era. 2.1 Data Sources In this paper, the sample range is limited to Guangdong province, China, which is a strong province of big data industry development in China. In order to find out whether there are differences in the impact of big data industry on regional innovation, this paper makes a comparative analysis of two cities with large economic strength gap in the province. We choose "Guangzhou Development Zone Big Data Industrial Park" and "Zhaoqing Big Data Cloud Service Industrial Park" as the research objects. Exploring the impact of big data on the technological innovation of the two cities may have different economic results, which is a interesting comparative perspective. Other data are from Guangzhou statistical yearbook, Guangzhou science and technology statistical yearbook, Zhaoqing statistical yearbook and Zhaoqing science and technology statistical yearbook
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