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  • 标题:Industrial Agglomeration of High Technology in Yangtze River Delta City Cluster Based on Knowledge Spillover Spatial Effect Study
  • 本地全文:下载
  • 作者:Kun Huang ; Xun Zeng ; Hao Wang
  • 期刊名称:American Journal of Industrial and Business Management
  • 印刷版ISSN:2164-5167
  • 电子版ISSN:2164-5175
  • 出版年度:2022
  • 卷号:12
  • 期号:5
  • 页码:1012-1028
  • DOI:10.4236/ajibm.2022.125053
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:The Yangtze River Delta (YRD) region has been a strong innovation capability and has a good economic development and innovation environment. This paper will focus on the spatial effects of high-tech industrial agglomeration in the Yangtze River Delta region based on the knowledge spillover theory, with the Yangtze River Delta regional city cluster as the research object. This paper begins with a review of relevant literature on knowledge spillover, high-tech industry agglomeration and the relationship between science and technology innovation and economic growth. On this basis, we measure the degree of industrial agglomeration in 27 urban areas of the Yangtze River Delta using the locational entropy research method and analyze the current situation of innovation and high-tech industry development in the Yangtze River Delta. It is found that most of the urban agglomerations are not randomly distributed in the first and third quadrants, indicating that they have considerable spatial correlation, and then relevant countermeasure suggestions are given.
  • 关键词:Knowledge SpilloverHigh-Tech Industry Clustering
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