Abstract
Regional technological innovation capacities of 31 regions in China from 2004 to 2007 are dynamicly evaluated and analyzed by using the gray target theory to find out their changes and development trends. The bull’s eye degree was utilized to classify and sort the regional technological innovation capacity. Through the analysis of the contribution degree of the regional technological innovation capacity, the evaluation indicator identified the key influence factors and classified and sorted the evaluation indicator.
Keywords
- Evaluation Indicator
- Innovation Capacity
- Comprehensive Evaluation Method
- Capita Disposable Income
- Gray Target
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This work was supported by the National Soft Science Foundation of China (No.2006GXQ3D108), the Research Fund for the Doctoral Program of Higher Education (No.20070386001), the Social Science Foundation of Fujian (No.2008C023 and No.2008A073 ), the Soft Science Foundation of Fujian (No.2009R0054 ), and the Science Foundation of Fuzhou University (No.2006-XY(S)-06).
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Li, M., Zhuang, H., Chen, G. (2010). Dynamic Evaluation and Analysis of Regional Technological Innovation Capacity Based on a Gray Target. In: Liu, S., Forrest, J.YL. (eds) Advances in Grey Systems Research. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13938-3_22
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DOI: https://doi.org/10.1007/978-3-642-13938-3_22
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