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SPATIAL CHARACTERISTICS AND DYNAMIC CHANGE OF INNOVATION OUTPUTS IN CHANGCHUN FROM THE PERSPECTIVE OF URBAN AMENITIES |
HAO Fei-long, YANG Yu-xin, WANG Shi-jun |
School of Geographical Sciences, Northeast Normal University, Changchun 130024, China |
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Abstract Creative industry agglomeration driven by urban amenities is one of the important issues in urban geography and economic geography. The study of creative industry is of great significance to the development of urban innovation. Based on the number of patents from 2009 to 2018 in Changchun, this study aimed to explore the spatial characteristics of innovation output in internal city from annual changes, spatial equilibrium development, distribution pattern prospects by Moran's I index, kernel density estimation, GetisOrd Gi* and other methods and discussed the impact of urban amenities on innovation output by GWR modelling. Several conclusions are drawn as follows: 1) From the dynamic change of spatial equilibrium, the gap of innovation development in Changchun City was gradually narrowing between 2009 and 2018 and the local area is relatively balanced, but the overall characteristic of innovation output still has obvious differences, presenting "southwestern aggregation, southeastern dispersion". 2) From the perspective of the change of the spatial distribution pattern, the number of innovation output units in Changchun increased in 2009— 2018, the distribution pattern of four key cores has maintained during this period. And the trend towards the southeast and southwest of the city was obvious. 3) From the perspective of the high-value agglomeration, "low north, high south, four cores" have maintained for ten years. The Industry-University-Research Collaboration areas indicate the effect of knowledge spillover. 4) Urban comfort has an impact on the spatial agglomeration of Changchun's innovative output. All leisure comfort factors have a strong correlation with the spatial distribution of Changchun's innovation output, but all traffic comfort factors are negatively correlated. The correlation between the indicators of other aspects is different.
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Received: 31 October 2019
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