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中国省域文化产业集聚的空间特征及影响因素分析 被引量:12

Study on Spatial Characteristics and Influence Factors of China’s Provincial Cultural Industry Agglomeration
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摘要 文章利用区位熵、探索性空间数据分析和地理加权回归模型等方法,对我国省域文化产业集聚的空间特征及其影响因素进行了实证研究。结果表明:(1)我国文化产业集聚水平大体呈现东高西低的空间分布特点,地区间和地区内差异显著。(2)我国各省份文化产业集聚水平存在显著的空间正相关性,集聚趋势较为明显。(3)我国文化产业集聚水平以"低-低"类型为主,且在空间上具有高度的路径锁定特征。(4)政府扶持力度、经济发展水平、交通便利性和文化资源均能促进我国各省份文化产业集聚发展,但同一因素对各省份的影响程度不尽相同。 This paper uses location entropy,exploratory spatial data analysis and geographically weighted regression model to make an empirical study on the spatial characteristics and influence factors of China’s provincial cultural industry agglomeration.The results are shown as follows:(1)The agglomeration level of China’s cultural industry generally presents the spatial distribution characteristics of high in the east and low in the west,with significant differences between and within regions.(2)There is a significant spatial positive correlation between the agglomeration level of cultural industries in provinces of China,and the agglomeration trend is relatively obvious.(3)The agglomeration level of China’s cultural industry is mainly of"low-low"type,and has a high path-locking feature in space.(4)The intensity of government support,the level of economic development,the convenience of transportation and cultural resources can promote the agglomeration development of cultural industries in all provinces of China,but the same factor has different impacts on different provinces.
作者 魏和清 李颖 Wei Heqing;Li Ying(School of Statistics,Jiangxi University of Finance and Economics,Nanchang 330013,China;Applied Statistics Research Center,Jiangxi University of Finance and Economics,Nanchang 330013,China)
出处 《统计与决策》 CSSCI 北大核心 2021年第16期66-70,共5页 Statistics & Decision
基金 江西省社会科学“十三五”委托项目(20WT53) 江西省教育厅科技项目(GJJ180865)。
关键词 文化产业集聚 探索性空间数据分析 空间特征 地理加权回归模型 cultural industry agglomeration exploratory spatial data analysis spatial characteristics geographical weighted regression model
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