城市创意指数的测度及实证分析

深圳大学经济学院,深圳 518060

城市地理; 创意城市; 创意指数; 变异系数加权法; technique for order preference by similarity to ideal solution分析法

City creative index and its empirical analysis
Duan Jie and Long Hu

Duan Jie and Long HuCollege of Economics, Shenzhen University, Shenzhen 518060, P.R.China

urban geography; creative city; creative index; coefficient weighted method; technique for order preference by similarity to ideal solution analysis method

DOI: 10.3724/SP.J.1249.2015.03296

备注

基于迈克尔·波特的价值链理论模型构建中国城市创意指数,包括7个1级指标和18个2级指标.采用变异系数加权法和TOPSIS(technique for order preference by similarity to ideal solution)分析法对中国20个城市的数据进行实证研究,分析影响城市创意水平发展的驱动因素.结果表明,评价指标体系中,经济资本、人力资本、文化资本、技术资本、产业资本、环境资本和制度资本7个影响因素与创意城市的发展呈正相关,其中文化资本和产业资本是最重要的影响因素.根据各指标影响程度的差异化,指出创意城市发展所面临的挑战,提出加强文化建设、发展创意产业、重视创意人才的培养、营造创意氛围和改善制度环境等建议,以提升城市创意竞争力.

This paper develops an evaluation index system based on Michael Potter's value chain, which includes 7 first-level indicators and 18 second-level indicators. The empirical research is conducted on 20 cities with the adoption of a coefficient-weighted method and the technique for order preference by similarity to ideal solution analysis method to find the driving forces behind the development of creative cities. The results show that 7 factors of the evaluation index system including economic capital, human capital, cultural capital, technology capital, industrial capital, environment capital and institutional environment are positively correlated with the development of creative cities, of which the cultural capital and industrial capital are the two most significant ones. According to the different effects of each index, we propose suggestions, such as strengthening the cultural construction, developing creative industries, cultivating creative talents, and improving institutional surroundings to enhance the competiveness of creative cities.

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