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Research on measurement of regional knowledge stock based on comprehensive information entropy

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3 Author(s)
Xiao-feng Wang ; Beijing Inst. of Technol., Beijing, China ; Pang Zhou ; Wei Qi

Starting with the research on regional knowledge stock and based on the basic principle of information entropy, this paper establishes a measurement index system of regional knowledge stock which contains three aspects: innovation input, innovation environment and innovation benefit; it also tries to put forward a new method for measurement of knowledge stock. Integrating the previous data of Zhongguancun Science Park, it empirically analyzes the index system.

Published in:

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on  (Volume:4 )

Date of Conference:

11-14 July 2010