Based on Entropy Method Regional Innovation Capability Evaluation in Gansu Province

Author(s):  
Lili He ◽  
Yanhua Liu
2021 ◽  
Vol 251 ◽  
pp. 01078
Author(s):  
He Menghuan

Regional innovation capability is one of the important indicators to measure the comprehensive development level of a region. This paper uses the analytic hierarchy process to evaluate the regional innovation capability of Beijing-Tianjin-Hebei. A total of 10 indicators were selected from the three aspects of regional innovation foundation, regional innovation input and regional innovation output to construct a regional innovation capability evaluation index system. Using 2019 data to comprehensively evaluate the innovation capability of the Beijing-Tianjin-Hebei region. Finally, the regional innovation ability scores and basic rankings of Beijing, Tianjin, and Hebei provinces were obtained. The study concluded that Hebei Province still has many gaps in innovation input and innovation output compared with Beijing and Tianjin. Therefore, Hebei Province needs to strengthen its innovation input and innovation output. The integration of Beijing-Tianjin-Hebei has created good development opportunities for Hebei Province. Therefore, an objective evaluation of the scientific and technological innovation capabilities of Hebei Province under the integration of Beijing-Tianjin-Hebei is of certain significance for the government to formulate science and technology strategies and improve technological innovation capabilities.


2018 ◽  
Vol 23 (1) ◽  
pp. 137-162 ◽  
Author(s):  
Sungho Han ◽  
Gwang Min Yoo ◽  
Sunjoo Kwak

Knowledge, a fundamental component of innovation, expands more effectively when innovation actors are in geographical proximity to each other. Innovation in each region is driven by innovation actors, and thus, the innovation capability of a region is directly linked to the activities of innovation actors in that region. In keeping with this perspective, this study was conducted in order to present the characteristics of the cross-regional innovation capability using an analytical framework of regional innovation actors, such as research institutes, technology intermediaries, universities and firms. In order to analyse the position of each Korean region’s innovation actors, this study classified research subjects from the 2013 National Research and Development Investment Program Information into seven sub-categories and utilised them as the data for the analysis. Multiple factor analysis (MFA), which compresses the various indices effectively, was applied in order to classify the regions that have similar innovation actors into a small number of categories. Based on the factors derived from MFA, the innovation characteristics of sixteen regions were examined. The results showed that the innovation actors differ across regions, although Seoul, Gyeonggi and Daejeon are ahead of all other regions in terms of innovation activity. The policy implications of this analysis are as follows: first, the imbalance in the innovation capabilities among regions must be improved. Second, differentiated regional innovation policies are required because the innovator actors who lead regional innovation differ from region to region.


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