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- W2355994032 abstract "In this paper,we used the patent data as a measure of innovative output to research the spatial distribution and dependence of 31 China mainland provincial region by spatial econometrics analysis.Visible patent distribution plot has shown the innovation output distribution of Chinese province level and spatial dynamic change.Location Gini coeffi- cient and Moran's Iindex have pointed that innovation activity of Chinese province level is not random distributing,and have presented different layer of innovation cluster,and spatial dependence.Moran scatter plot has indicated the spatial dependent pattern of innovation activity for each province region,these result will profit for every province to find the trail of their innovative change,and the geography trait influence of regional innovative ability and the difference was rightly to recognize,so as to better make the strategy for regional innovation development." @default.
- W2355994032 created "2016-06-24" @default.
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- W2355994032 date "2007-01-01" @default.
- W2355994032 modified "2023-09-25" @default.
- W2355994032 title "Research on the Spatial Distribution and Dependence of Chinese Innovative Output:Spatial Econometrics Analysis Based on Province-level Patent Data" @default.
- W2355994032 hasPublicationYear "2007" @default.
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