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浙江文化创意产业空间发展质量评价

Study of Spatial Development Quality of Cultural Creative Industry in Zhejiang Province
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摘要 文化创意产业是新经济的产物,是促进经济发展方式转变与提升城市创新能力的重要产业。基于2004与2008年浙江经济普查数据,运用Geo DA软件的空间分位图、空间自相关方法和基尼系数、区位商方法研究浙江文化创意产业的省域和市际空间质量特征。其中,空间分位图直观地表明浙江文化创意产业发展规模呈现自东部沿海向中部再向西部递减的状态,其中杭州、温州、宁波三市为文化创意产业发展的三高地,湖州、丽水、衢州、舟山四市为四大低谷。杭州市2004、2008年的区位商均值为1.50,温州则为1.48,表明其文化创意产业专业化程度高,空间集聚分布;宁波两年区位商均值为0.99,表明其文化创意产业处于快速发展时期,空间分布呈集聚趋势;其余8市的区位商平均值都小于1,文化创意产业专业化水平和空间集聚度亟待提高。两种方法均表明杭州、温州、宁波三市为浙江文化创意产业发展的三大高地。 Cultural creative industry is the product of new economy and the important industry to promote the transformation of the patterns of economic development and the promotion of city innovation ability. Based on the economic census data of Zhejiang in 2004 and 2008, the spatial division map of Geoda, spatial autocorrelation method and Gi- ni coefficient and location quotient method are used to study the provincial and inter city spatial distribution charac- teristics The space bitmap visually shows the development scale of Zhejiang cultural creative industry decreasing from the eastern coastal areas to central and the West. Hangzhou, Wenzhou and Ningbo are the three highlands of cultural and creative industry in Zhejiang. Huzhou, Lishui, Quzhou and Zhoushan are the four major troughs. The averagelo- cation quotient of 2004 and 2008 years in Hangzhou was 1.50, while that of Wenzhou is about 1.48, which indi- cates that the cultural and creative industry has a high degree of specialization and spatial agglomeration distribution. The location quotient of the other 8 cities was less than 1, the level of cultural and creative industries and the degree of spatial agglomeration were urgent to improve. Two methods show that Hangzhou, Wenzhou, Ningbo are the three big highlands of cultural and creative industry in Zhejiang.
作者 马仁锋 张茜
出处 《浙江艺术职业学院学报》 2016年第4期116-123,共8页 Journal of Zhejiang Vocational Academy of Art
基金 教育部2013年人文社科研究青年项目<我国大都市文化创意产业发展的空间调控模式研究>阶段性成果。(项目编号:13YJC790107)
关键词 文化创意产业 空间自相关 基尼系数 区位商 空间发展质量 cultural creative industry spatial autocorrelation Gini coefficient location quotient spatial develop-ment quality
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