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长三角地区众创空间的地理分布及影响机制
引用本文:滕堂伟,覃柳婷,胡森林.长三角地区众创空间的地理分布及影响机制[J].地理科学,2018,38(8):1266-1272.
作者姓名:滕堂伟  覃柳婷  胡森林
作者单位:华东师范大学中国现代城市研究中心, 上海 200062
基金项目:上海市软科学研究计划项目(17692100500)、教育部人文社科重点研究基地重大项目(13JJD840011)资助
摘    要:基于国家级众创空间认定分析长三角地区众创空间的发展阶段,运用最邻近指数法、核密度估计法刻画长三角地区众创空间的地理分布格局及其变动特征,运用地理探测器探究该地区众创空间地理格局的影响因素。研究显示:该地区众创空间的地理分布格局快速呈现出凝聚型特征;形成了以上海、杭州、南京为三核,以合肥都市圈、苏锡都市圈和宁波都市圈为集聚中心的空间格局;城市金融资本、开放程度、经济规模、信息化程度和创新活力5个因子影响作用最大,其次是城市科技创新投入、交通便捷度、政府支持力度、产业结构、科研实力、人口多样性、创业主体数量以及创新载体。

关 键 词:众创空间  空间格局  影响因素  长三角地区  
收稿时间:2017-08-20
修稿时间:2017-11-08

Spatial Distribution and Influencing Factors of National Mass Makerspaces in the Yangtze River Delta
Tangwei Teng,Liuting Qin,Senlin Hu.Spatial Distribution and Influencing Factors of National Mass Makerspaces in the Yangtze River Delta[J].Scientia Geographica Sinica,2018,38(8):1266-1272.
Authors:Tangwei Teng  Liuting Qin  Senlin Hu
Institution:Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
Abstract:As a new type of innovation and entrepreneurship hatching platform, the Mass Makerspace has become an important way to implement China’s the innovation-driven development strategy. Among all the regions, the Yangtze River Delta (YRD) is one of the main agglomeration areas of national Mass Makerspace, which has a profound impact on China’s innovation promotion. This paper applies Nearest Neighbor Analysis and Kernel Density Estimation methods to illustrate the historical development and geographical patterns of national Mass Makerspace in the YRD, based on the list of national Mass Makerspaces identified by the Torch Center of Ministry of Science and Technology of China, and other related official statistics as supplementary data sources; meanwhile, we also use Geographical Detector Method to explore the locational factors which influence the spatial patterns of the national Mass Makerspace. Based on the above-mentioned work, we reach four conclusions. Firstly, the geographical distribution of the national Mass Makerspace in the YRD has undergone rapid changes including three development stages: the first stage (before December 2nd 2015) has the agglomeration rate of 0.54; the second stage (from December 2nd 2015 to February 2016) has the agglomeration rate of 0.53; and the third stage (from February 2016 till now) has the agglomeration rate of 0.54. It shows an increasing agglomeration development trend. Secondly, the three development stages show different spatial patterns. In the first stage, three agglomerations of national Mass Makerspace are spotted, namely large Hangzhong core, and two small cores including Hefei and Suzhou. In the second stage, Shanghai replaced Hangzhou as the biggest agglomeration region. “Z” spatial pattern of Hefei-Nanjing-Suzhou-Shanghai-Hangzhou-Ningbo has formed, with Shanghai and Hangzhou as two main cores, and Nanjing and Suzhou as two small cores centers. The third stage witnesses the growing the former small cores. Former small cores develop into larger cores, with Shanghai, Hangzhou, Nanjing as three main cores, and Hefei, Suzhou-Wuxi and Ningbo as three small cores centers. Thirdly, we prove the diffusion effects of Shanghai into two directions: To west wing, including Suzhou, Wuxi, Changzhou and Yangzhou, and to south wing, from Jiaxing to Hangzhou. Fourthly, we find out that urban economic strength, social environment and innovation milieu have important influences on the spatial distribution of the national Mass Makerspace in the YRD. The most important factors are the stock of financial capital,openness ,urban economic scale,the degree of informatization and innovation vitality followed by three factors such as the city’s R&D investment,the accessibility of transportation,governmental support,the industrial structure,scientific research strength,diversity and the amount of entrepreneurial actors. In addition, the development of National High-tech Park has certain influence on the spatial development of the National Mass Makerspace in the YRD too, but much lower than other factors.
Keywords:national Mass Makerspace  the spatial distribution  influencing factors  the Yangtze River Delta Region  
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