324 / 2019-02-20 21:34:18

Clustering of creative industries and the spatial drivers: An empirical study of Wuhan

Creative Industries,Wuhan,Spatial Driver,Spatial Regression Analysis

全体主题 > Spatial statistics

Nowadays, the creative industries are regarded as the main engine for economic transformation and development. In existing studies, the research from a spatial perspective often considers the creative industries as a whole, and analyzes the relationship between the spatial distribution and factors. Previous studies seldom consider the impact of traditional non-spatial factors like policy and entertainment, while the difference in creative industries themselves are ignored as well. This study attempts to measure the spatial distribution and spatial drivers of creative industries. The creative industries have been divided into 4 categories including creative R&D, creative design and creative service etc., 5 types of factors including policy, entertainment and transportation etc. have been considered. A spatial error model is built. The results show: (1) All creative industries perform significant spatial clustering, and the extent varies. (2) The impact of different factors is partially different, the creative industries are sensitive to policy and transportation factors in general. (3) Different categories of creative industries have shown different characteristics. The emerging industries including creative R&D are more transportation-dependent and less policy-dependent, which is opposite to the traditional industries including creative service. According to the results, the authors suggest that the government to set new creative parks near existing creative industries clustering areas for the benefit of spatial spillover effect. Meanwhile, the difference in-between different creative industries should be fully considered by policy makers.