Abstract
Cultural industries are becoming important drivers for global economic growth. Competitiveness of cultural industries lies in its performance. This paper takes deep research on the cultural industries’ performance of 31 regions in China by the methods of factor analysis and super BCC efficiency model, using the whole statement data of 2010 from cultural industries. As the study shows, there are only 7 provinces which are efficient DMUS in DEA, and inefficacy in scale is one of the most important factors for cultural industries’ efficiency in China, and the short of output is more widespread and serious than redundancy of input. Some proposals are put forward. Firstly, output should be expanded based on completely digging and utilizing the present resources .Second, blind development and input should be avoided. Third, the northeast and central region should work hard to improve pure technical efficiency, and northeast and northwest region should improve scale efficiency.
Highlights
As the most potential industry in the 21st century, the position of cultural industry has been gradually revealing in the economic and social development of China
The results show that the three efficiency scores of Beijing, Shanghai, Zhejiang, Jiangsu Fujian, Guangdong and Yunnan are all 1, being effective decision making units (DMU) in Data Envelopment Analysis (DEA)
Shandong province is in the stage of diminishing returns to scale, which shows that Shandong should consider narrowing the scale of cultural industries
Summary
As the most potential industry in the 21st century, the position of cultural industry has been gradually revealing in the economic and social development of China. Guo Guo-feng and Zheng Zhao-feng (2009) evaluated the input & output indexes of the six central provinces’ cultural industries by method of factor analysis, and studied the cultural industry performance and input and output path of the six central provinces by the DEA model and structural equation. Wang Jia-ting and Zhang Rong (2009) studied the culture industries’ efficiency of 31 provinces in China in 2004 by using the three stage DEA model, concluding that the efficiencies of cultural industries were obviously different in various regions. This paper collects all the cultural industry data of 31 provinces in 2010 and combines the factor analysis method and output-oriented BCC super efficiency model to analyze the regional cultural industries’ performance, reflecting accurately the state and future orientation of Chinese regional cultural industries
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