Formation mechanism for integrated innovation network among strategic emerging industries: Analytical and simulation approaches

2021 ◽  
Vol 162 ◽  
pp. 107705
Author(s):  
Xue Wang ◽  
Baizhou Li ◽  
Shi Yin ◽  
Jingwei Zeng
2018 ◽  
Vol 10 (12) ◽  
pp. 4585 ◽  
Author(s):  
Weiwei Liu ◽  
Jianing Yang

Strategic emerging industries (SEIs) represent the future direction of industrial developments and are crucial in stimulating the overall and long-term development for economy and society. The government plays a key role in promoting the development of SEIs. This paper, for the first time, investigates the cooperation relationship among innovation members, such as enterprises, universities and research institutes in a collaborative innovation network of strategic emerging industries under government intervention. A three-population evolutionary game theory approach was employed under different scenarios for the government acting as the stakeholder, considering the non-profit, definite fit as well as uncertain profit when incentive and punishment policies are adopted. A novel evolutionary game model of the cooperation relationship among collaborative innovation network members under government’s intervention is established. The results of the simulation experiments show that government’s intervention significantly influences the cooperation relationship between enterprises, universities and research institutes. When the sum of financial incentives and punishments is greater than the total additional cost (TAC), enterprises, universities and research institutes should pay for collaborative innovation. Moreover, government’s financial intervention can effectively promote the cooperation between enterprises, universities and research institutes.


2020 ◽  
Vol 12 (3) ◽  
pp. 900 ◽  
Author(s):  
Xue Wang ◽  
Baizhou Li ◽  
Shi Yin

The overall high-end of strategic emerging industries can be effectively promoted by strengthening the inter-industry innovation linkage effect. This paper constructs a strategic emerging industry innovation network based on industry correlation. This paper studies the development trend of the whole network structure and individual network characteristics and analyzes the influence of network structure characteristics on the attribute performance of each industry. The research results are as follows: (i) The innovation network as a whole was in a slight decline trend of low density during the sample investigation period, and the correlation level had great room for improvement. (ii) The high-end equipment manufacturing industry, the new materials industry, and the new-generation information technology industry occupy the center of the network, but their spillover effect on other industries is poor, and some industries even get more innovation benefits. (iii) The innovation network of China’s strategic emerging industries has the characteristics of cross-industry clustering, and the linkage effect between plates is insufficient, showing the characteristics of the “reflexivity” aggregation subgroup. (iv) The unreasonable connection mode of strategic emerging industries’ innovation network leads to the improvement of the centrality degree, which is not conducive to the innovation output of the industry. However, innovation output can be positively affected, to a certain extent, by improving the betweenness and closeness of the industries in the network.


2019 ◽  
Vol 36 (4) ◽  
pp. 559-575
Author(s):  
Xu Bai ◽  
Jinxi Wu ◽  
Yun Liu ◽  
Yihan Xu ◽  
Defang Yang

In this study, we attempted to fill an important gap that literature has yet to investigate: the characteristics of the 3D printing global industry chain and value chain innovation network. The network characteristics analysis is based on patents and the patent data download from the European Patent Office (EPO) database covering the period from January 1, 1989 to December 31, 2017. The concept of the 3D printing global industry chain and value chain network is defined, then the network model is divided by employing case analysis, and finally the network characteristics are analyzed by using social network analysis. This research enriches the relevant theories of global innovation networks in emerging industries and provides theoretical support for the development of global innovation strategies and policies for the 3D printing industry.


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