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- Title
Synergy Degree Model Between Sci-tech Finance and Sci-tech Innovation Based on Correlation Matrix Weight in Guangdong.
- Authors
Xue Deng; Ying Liang; Jingtian Li; Chuangjie Chen
- Abstract
Science and technology are known as the first productive force in the modern society, and they are the core elements to motivate the innovative progress of the whole social economy. The mutual cooperation and progress of sci-tech finance (STF) and sci-tech innovation (STI) can realize the innovation transformation of the national economy and simultaneously enhance the comprehensive competitiveness of the country. Through comparative analysis of theoretical mechanism of synergetic development between STF and STI, we take the synergetic degree of STF and STI in Guangdong Province in China as object of research to construct the order degree model and the synergy degree model. In the calculation of the weight of each index in the system, three different weight calculation methods, namely the correlation matrix weighting method, the entropy weighting method and the standard deviation method, are used from different perspectives. An empirical study is presented based on the above different methods by using the data of twelve years of Guangdong province. By a comparative and comprehensive analysis, the results show that using different methods to calculate the weight of each index can avoid deviations. Therefore, more reasonable and more convincing results than those by some single methods can be obtained in practice.
- Subjects
GUANGDONG Sheng (China); NONPROFIT sector; MODERN society; STANDARD deviations; WEIGHTS &; measures
- Publication
IAENG International Journal of Applied Mathematics, 2021, Vol 51, Issue 1, p192
- ISSN
1992-9978
- Publication type
Article