Innovation Efficiency and Its Influencing Factors on China’s Creative Industry - The Two-Stage DEA Model

Authors: Yujie Chen*, , hongyan zhao, donghua university, mingchuan yu, shanghai normal university, jianlei zhang, donghua university
Topics: Economic Geography, Asia
Keywords: creative industry; two-stage DEA method; innovation efficiency; space econometrics
Session Type: Paper
Day: 4/4/2019
Start / End Time: 5:00 PM / 6:40 PM
Room: 8223, Park Tower Suites, Marriott, Lobby Level
Presentation File: No File Uploaded


In order to improve the specific stages of innovation progress to promote the development of China’s Creative Industries, we attempt to explore and measure two-stage innovation capabilities in China’s Creative Industry and their influencing factors. The two-stage DEA method is used to measure the innovation capabilities from 2009 to 2015 which are divided into two stages - knowledge development and economic transformation stages. Based on this, a spatial econometrics panel model is constructed and the influencing factors are explored. The findings suggest that: ① while the overall innovation capabilities are low, the knowledge development stage is still superior to economic tranformation stage; ② there is a significant positive correlation between adjacent provinces for innovation capabilities in the knowledge development stage and the overall stage but not for the economic transformation stage ③ the influencing factors such as the market structure, development level of tertiary industry, social inclusiveness and government support are conducive to the innovation capability improvement in the knowledge development stage. However, the development level of tertiary industry, government support, and the level of social science and technology do not play a promoting role in the economic transformation stage.

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