大东京地区超级创意班的地理位置:工作地点和居住地

Q1 Social Sciences
Makoto Ikegaya , Keith Debbage
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引用次数: 0

摘要

自从Richard Florida的创意阶层理论首次被引入以来,许多关于创意的相关研究都在分析知识经济的关键特征和预测因素。尽管创意班的概念已经流行了二十多年,但在日本,分析创意班的研究并不多。本文的目的是分析大东京地区超级创意阶层(GTA)的空间分布,以更好地了解驱动超级创意阶层空间分布的关键预测因素。根据日本内务通信省的数据,在GTA的138个城市和地区,超级创意阶层的空间分布似乎极不均衡,主要集中在川崎、东京和筑波。逐步回归分析显示,按工作地点划分的超级创意阶层60%的空间分布可以最好地用劳动力库的份额来解释。另一方面,73%的超级创意阶层按居住地的分布可以用更传统的人力资本预测来解释。由于超级创意班的一个关键组成部分因工作地点和居住地点而有显著差异,地理似乎是解释超级创意班在GTA中分布的一个主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The geography of the Super Creative Class in the greater Tokyo area: Place of work and place of residence

Since Richard Florida's theory of the Creative Class was first introduced, many related studies of creativity have been undertaken regarding analyzing the key features and predictors of the knowledge economy. Though the notion of the Creative Class has been popular for over two decades, not many studies have analyzed Creative Class in Japan. The objective of this paper is to analyze the spatial distribution of the Super Creative Class in the Greater Tokyo Area (GTA) to better understand the key predictors that drive the spatial distribution of the Super Creative Class. Based on data from the Japanese Ministry of Internal Affairs and Communication, the spatial distribution of the Super Creative Class seemed highly uneven for the 138 cities and wards of the GTA with significant concentrations in Kawasaki, Tokyo and Tsukuba. A stepwise regression analysis revealed that 60 percent of the spatial distribution in the Super Creative Class by place of work could be best explained by the share of the labor pool. On the other hand, 73 percent of distribution of Super Creative Class by place of residence could be explained by a more traditional human capital predictor. Since a key component of the Super Creative Class differs markedly by place of work and place of residence, it seems geography is a major factor in explaining the distribution of Super Creative Class in the GTA.

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来源期刊
City, Culture and Society
City, Culture and Society Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.00
自引率
0.00%
发文量
26
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