Research on the influence of OFDI on Jiangsu’s regional innovation capability

2020 ◽  
Vol 23 (3) ◽  
pp. 427-448
Author(s):  
Hua-Bing Guo
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.


Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5467
Author(s):  
Yu Fu ◽  
Agus Supriyadi ◽  
Tao Wang ◽  
Luwei Wang ◽  
Giuseppe T. Cirella

The purpose of the “Made in China 2025” strategy is to enhance the innovation capabilities of the local manufacturing industry and achieve green and sustainable development. The role of innovation in the development of manufacturing is a hotspot in academic research, though only a few studies have analyzed the interaction between green technology manufacturing efficiency and its external innovation capabilities. This study used the 2011–2017 Chinese A-share listed manufacturing companies as samples to discuss whether regional innovation capabilities can promote the improvement of green technology manufacturing efficiency. The results showed that a significant spatial correlation between regional innovation capability and green technology manufacturing efficiency was prevalent within spatial heterogeneous bounds. In addition, regional innovation capability directly promoted the effective manufacturing of green technology efficiency, which was strongest in the eastern region of the country. Regional innovation capabilities also had a positive effect on human capital and government revenue, thereby further enhancing the green technology efficiency of manufacturing through the intermediary effect. Based on the above conclusions, some policy recommendations are put forward to facilitate the improvement of China’s regional innovation capabilities in terms of green technology efficiency in manufacturing.


2014 ◽  
Vol 926-930 ◽  
pp. 3191-3194
Author(s):  
Ya Qun Gao

The region innovation system has provided the network platform for the knowledge dissemination and the flowing, simultaneously in the region the high-tech industry colony's knowledge overflow promoted the knowledge in region sharing, becomes the region innovation the driving force. This article has constructed the region innovation system life cycle model based on the baud life cycle theory, has studied under the knowledge economy condition the high-tech industry colony knowledge overflow to the region innovation system different life cycle influence mechanism.


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