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首页> 外文期刊>E3S Web of Conferences >Big Data Industrial Agglomeration Promoting Regional Innovation: Comparison between Guangzhou and Zhaoqing in China
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Big Data Industrial Agglomeration Promoting Regional Innovation: Comparison between Guangzhou and Zhaoqing in China

机译：促进区域创新的大数据产业集聚：广州与肇庆在中国的比较

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摘要

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.
机译：本文从2014年至2018年选择了中国“广州开发区大数据工业园”和“肇庆大数据云服务工业园”中大数据行业的数据，采用改进的知识生产函数来建立OLS模型，并比较MAR和JACOBS对广州及肇庆研发投入和专利产出的影响。结果发现：（1）MAR外部性不利于两城市的技术创新，对肇庆的创新有更强烈的负面影响;雅各布斯外部性能能够积极促进两个城市的创新，并对广州的创新有更强烈的积极影响。 （2）在Jacobs外部性对两个城市的创新产出的影响中，研发发挥了一部分中间效应，对广州的影响更强;在MAR外部性对两个城市的创新产出的影响中，研发仅在肇庆奠定了一部分负中介效果。结论表明，大数据产业的MAR和Jacobs集聚在经济发达的城市促进技术创新方面都发挥了更有效的作用。

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