Emerging Geography of Creativity and Labor Productivity Effects in China

DOIhttp://doi.org/10.1111/j.1749-124X.2013.12040.x
AuthorWentao Yu,Jin Hong,Yanrui Wu,Dingtao Zhao
Published date01 September 2013
Date01 September 2013
78 China & World Economy / 7899, Vol. 21, No. 5, 2013
©2013 Institute of World Economics and Politics, Chinese Academy of Social Sciences
Emerging Geography of Creativity and Labor
Productivity Effects in China
Wentao Yu, Jin Hong, Yanrui Wu, Dingtao Zhao*
Abstract
The paper presents an alternative approach to explain why regional productivity is different
across regions by utilizing the creative class approach in China. First, we analyze the extent
of spatial agglomeration of the creative class across regions in China. Second, we develop
a model with spatial externalities to investigate how the concentration of the creative class
can promote regional productivity. Our analysis confirms the importance of spatial
agglomeration of the creative class in stimulating regional productivity. The results also
imply that regional productivity is greater in markets with higher levels of innovation,
capital stock, manufacturing and urbanization. In light of the results of our analysis, we
discuss a number of policy implications.
Key words: China, creative class agglomeration, creativity, regional labor productivity,
spatial externality
JEL codes: C23, J24, R11, R12
I. Introduction
In the knowledge economy, innovation has become an increasingly important driving force
for regional growth. Variations in the degree of participation of developed and developing
countries or regions in producing national innovation have resulted in some countries or
regions experiencing rapid growth while others are left behind. Possible causes of this
phenomenon include agglomeration economies and path dependency. This particular cause
*Wentao Yu, PhD candidate, School of Management, University of Science and Technology of China, Hefei,
China. Email: zeroyu@mail.ustc.edu.cn; Jin Hong (corresponding author), Associate Professor, School of
Management, University of Science and Technology of China, Hefei, China. Email: hongjin@ustc.edu.cn;
Yanrui Wu, Professor, Business School, University of Western Australia, Perth, Australia. Email:
yanrui.wu@uwa.edu.au; Dintao Zhao, Professor, School of Management, University of Science and
Technology of China, Hefei, China. Email: box@ustc.edu.cn. We are grateful to the referees for their
constructive comments. We also appreciate the support of the National Natural Science Foundation of
China (71172213 and 71171183), the Ministry of Education, Humanities and Social Sciences Project
(09YJA630153 and 10YJA790260) and the National Social Science Foundation of China (08&ZD043).
79
Emerging Geography of Creativity and Labor Productivity Effects in China
©2013 Institute of World Economics and Politics, Chinese Academy of Social Sciences
effect linkage has been examined in numerous studies (Krugman, 1991; Glaeser et al., 2001;
Zhao and Zhang, 2010; Chen and Wu, 2012).
Generally, the growth effect of production factor agglomeration can be realized through
localization externalities (Marshall, 1890), pecuniary externalities (Krugman, 1991) and
competitive advantage of clusters (Porter, 1998). It has become popular to attribute regional
growth to the ability to attract the creative class (Florida, 2002a). There are many examples
of creative communities, such as Hollywood, Silicon Valley, and the design and advertising
cluster of London. The empirical literature on the creative class or entrepreneurial individuals
is generally supportive of the notion that such agglomerations of talent have a positive
effect on productivity and employment growth; the combination of these production factors
will ultimately contribute to economic growth (Glaeser et al., 2001; Yusuf and Nabeshima,
2005; Florida et al., 2008; Fan et al., 2012).
However, the published studies on creative clusters are mainly based on advanced
economies. China, as the largest developing country in the world, has undergone tremendous
social and economic change since the introduction of economic reform policies in 1978. It
is argued that Chinas economic development is mainly dependent on the huge international
market and low costs, especially in manufacturing. However, commentators have noted
that Chinas rapid growth is also driven by the rise in talent (Qian, 2010; Hong and Yu,
2012), and, in particular, its already large but growing number of scientists and engineers.
Once creative employees are highly concentrated in a region, it becomes a creative area,
facilitating cooperation and communication among talents, which results in new knowledge
generation and associated reductions in cost.
Concentration of the creative class is purported to increase productivity, and to have
benefits for both firms/households and production/consumption. The differences in
economic agglomerations might underlie variations in productivity improvement and
regional growth (Krugman, 1991; Takatoshi and Thisse, 2006). In China, there are significant
differences in the creative clusters (including size, extent and number of creative clusters)
across regions. The creative clusters in the coastal provinces are expanding rapidly (e.g.
Beijing 798 Art Zone and Shanghai Zhangjiang Hi-Tech Park), while in the interior provinces,
the ability to attract high quality human capital is limited.
In this paper, we shed light on the following two research questions. First, how big are
the differences between the creative class agglomerations (CCA) in the coastal provinces
and the interior provinces in China? Second, how does the variation in CCA affect regional
labor productivity (RLP)? The responses to these two questions have implications for
understanding the transformation of Chinas economic growth from being efficiency-driven
to innovation-driven.

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex