Factors Which Influence the Growth of Creative Industries: Cross-section Analysis in China

• Authors: Jianpeng Zhang , Jitka Kloudova
• Languages of publication: EN

Abstracts

EN

With the more and more important roles of creative economy, its research has become one of the major fields in economic development. The creative economy has the potential to generate income and jobs while promoting social inclusion, cultural diversity and human development. As a developing country, China is also in need of developing the creative economy to adjust the economic structure and realize the sustainable development. In this paper, we examined the factors which influence the growth of creative industries in China through the cross-section analysis of 23 regional data in 2007. Four main factors were examined in this multi-regression model, that is, GDP per capita, the number of higher education institutions, the number of students enrolled in higher education institution and the number of patents.The statistical analysis found that the model's fit is quite good and 69% of dependent variable (the ratio of value-added of creative industries to the GDP) is explained by the model. Specifically, there are three sub-conclusions. Firstly, there is not a positive relationship between GDP per capita and dependent variable; on the contrary, there is a weak negative relationship in this model. We infer that it is because of the stage of economic development. China heavily depends on the development of the second industry in the process of industrializing. Secondly, there is no linear relationship, in this model, between the number of higher education institutions and the dependent variable. We infer that it is mainly due to the differences between the higher education institutions, such as scales and qualities, etc. Thirdly, there is enough evidence to conclude that the number of students enrolled in higher education institution and the dependent variable are linearly related; the number of patents and the ratio of creative industries are linearly related, as well. They represent the important roles of talents and technology in the development of creative industries.

Keywords

EN

creative economy; creative industries; GDP per capita; multi-regression

• Publisher: Sciendo
• Journal: Creative and Knowledge Society
• Year: 2011
• Volume: 1
• Issue: 1
• Pages: 5-19

Dates

published

2011-08-01

online

2011-10-29

Contributors

author

Jianpeng Zhang

• Faculty of Management, Hainan Medical University, China

author

Jitka Kloudova

• Faculty of Management and Economics, Tomas University in Zlin

References

• CHINA EDUCATION AND RESEARCH NETWORK, Available on World Wide Web:
• DCMS, Creative Industries Economic Estimates Statistical Bulletin, October 2007.
• FLORIDA, R. The Economic Geography of Talent. Annals of the Association of American Geographers. Dec., 2002, Vol. 92, No. 4, pp. 743-755
• FLORIDA, R. The Rise of the Creative Class. And How It's Transforming Work, Leisure, Community and Everyday Life. 1st ed. New York: Basic Books, 2004, paperback, pp. 434, ISBN-10 0-465-0247-7 (pbk)
• FLORIDA, R., GATES, G., etc. The University and the Creative Economy. December 2006. Available on World Wide Web:
• HARTLEY, J. Creative Industries. Oxford: Blackwell Publishing Ltd, 2005, pp. 414, ISBN 1-4051-0147-4
• HOWKINS, J. The Creative Economy. How People Make Money from Ideas. 2nd ed. London: Penguin Group, 2007, pp. 269, ISBN 978-0-140-28794-3
• Jac, I. (2008). Evaluation of Project in Dimension the Innovation Solution of Disparities. E + M Economics and Management, 2008, Vol.11. Iss.2, pp. 31-40. ISSN 1212-3609
• KLOUDOVA, J. Measurement of the Creative Economy. Journal of Economics. Institute of Slovak and World Economics and Institute of Forecasting Slovak Academy of Sciences. Bratislava. 2009, Vol.57, No.3, pp. 247-262
• KLOUDOVA, J. Kreativní ekonomika. Trendy, výzvy, příležitosti. (Creative Economy). Grada Publishing, a.s., 2010. ISBN: 978-80-247-3608-2
• KONG, L., O'CONNOR, J. Creative Economies, Creative Cities: Asian-European Perspectives. In Hansen, H.K., Asheim B., Vang J. The European Creative Class and Regional Development: How Relevant is Florida's Theory for Europe? London: Springer, 2009, pp. 99-120. ISBN: 978-1-4020-9948-9
• Kraftova, I., Kraft, J. (2008). High Tech Firms and the Creation of Welfare in the EMEA Countries. E + M Economics and Management, 2008, Vol.11. Iss.4, pp. 6-20. ISSN 1212-3609
• NATIONAL BUREAU of STATISTICS. China Statistical Yearbooks [online]. 2008. Available on World Wide Web:
• SIPOC (State Intellectual Property Office of China). Domestic Grants for Three Kinds of Patents, 2008. Available on World Wide Web:
• STEPHEN, E. S. The Economic Contribution of Copyright-Based Industries in USA: The 2004 Report. Creative Industries Series No.1. World Intellectual Property Organization. 2004.
• THE CENTRE for CULTURAL POLICY RESEARCH, the University of Hong Kong, A Study on Creativity Index, 2005
• UNCTAD. Creative Economy Report: The Challenge of Assessing the Creative Economy Towards Informed Policy-making. April 2008, pp. 357, ISBN: 978-0-9816619-0-2
• WORK FOUNDATION. Staying ahead: the economic performance of the UK's creative industries. London: DCMS. 2007.
• WALL COMMUNICATIONS INC. The Economic Contribution of Copyright-Based Industries in Canada: The 2004 Report. Creative Industries Series No.1. World Intellectual Property Organization. March 31, 2004.
• ZHAHG, J., KLOUDOVA, J. Study on Creative Index in China: A Modified Florida's 3Ts Model. Current Issues of Business and Law. 2009, Vol.3, pp.104-117.

Identifiers

DOI

10.2478/v10212-011-0001-9