Evolution Process and Simulation of Advanced Equipment Manufacturing Innovation Network Based on Intelligent System

Big Data ◽  
2021 ◽  
Author(s):  
Jianbo Wang ◽  
Xing Cao
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jianbo Wang ◽  
Xing Cao

Our country’s equipment manufacturing industry ranks among the best in all developing countries, but compared with developed countries, there is still a long way to go. It is not only the backwardness of various technologies, but also the interference of other countries. Although our country's equipment manufacturing industry is not as advanced as the advanced technology of developed countries, we still have to stick to our original aspirations, do not underestimate ourselves, and be good at absorbing and learning from the strengths of others to make up for our own weaknesses. While not working behind closed doors and while absorbing technology from other countries, we can make use of our strengths to make up for our weaknesses and develop our own industrial technology. This paper studies the evolution trend of innovation network structure and at the same time studies the evolution mechanism of advanced equipment manufacturing innovation network structure from the perspective of complex systems. The explained variable in this article is green total factor productivity. The variable adopts the Malmquist–Luenberger global super-efficiency index model. There are two main explanatory variables. One is the heterogeneity that affects the efficiency of industrial evolution, including factor heterogeneity, structural heterogeneity, and environmental heterogeneity, and the other is the interaction term of equipment manufacturing specialization agglomeration degree dummy variable multiplied by factor heterogeneity. The regional economic development level is added to the model as a control variable. In the selection of measurement indicators, the per capita GDP is used as the control variable. The experimental results show that each sample is tested in pairs, and the standard error level of the mean is 0.018, which is less than 0.05, indicating that the efficiency of the equipment manufacturing industry’s economic correlation spatial network has a significant impact on the overall economic development level of the industry. The reduction in spur helps to increase economic output.


2010 ◽  
Vol 171-172 ◽  
pp. 636-639 ◽  
Author(s):  
Bin Qiao ◽  
Wen Liu ◽  
Ting Xiang

According to the current situation and characteristics of China's equipment manufacturing industry, this paper thinks that the development path of China's equipment manufacturing industry is to construct the network of equipment manufacturing industry cluster innovation. It’s a system to construct China's equipment manufacturing industry cluster innovation network, which need to improve enterprise integration capabilities through the establishment of the network of main business leaders, focus on building innovative platform network and also need collaboration of system and environment to support network. On this basis, this paper analyzes construction strategies of the innovation network of industry cluster.


2018 ◽  
Vol 11 (3) ◽  
pp. 21
Author(s):  
Xiangjie Zheng

Clique problem has been fully researched in the social relations network of sociology,But the cliques in inter-enterprise networks have attracted people's attention in recent years. Based on the alliance data of the high-end equipment manufacturing industry in China in 2000-2013, we construct innovation network,and use negative binomial regression models to analyze the impact of the clique structure on enterprise innovation. The results show that the more the clique numbers in the alliance innovation network, the stronger the enterprise innovation capability. Whether the enterprises listed have a negative moderating effect on the impact of clique numbers on enterprise innovation performance. That is, for the listed enterprises, more clique numbers cannot significantly promote enterprise innovation, but for non-listed enterprises, more clique numbers are conducive to enterprise innovation. Innovation accumulation has no significant positive moderating effect on the impact of clique numbers on enterprise innovation performance. The impact of the coreness values on the enterprise innovative output in an inverted-U curvilinear way, and the coreness values also moderates the effect of innovation accumulation on enterprise innovation capability in an inverted-U curvilinear way. The conclusions of the research can provide the basis for the enterprise to embed the network cliques and for the relevant government departments to formulate the alliance policy.


2021 ◽  
Vol 336 ◽  
pp. 09006
Author(s):  
Yue Li ◽  
Bobo Guo ◽  
Xiaoyan Sun ◽  
Xiaoli Li

In order to strengthen the guiding and supporting role of the innovation-driven development strategy, and to promote the structural optimization and efficiency improvement of the equipment manufacturing industry, this paper analyzes the structure, function and characteristics of the regional equipment manufacturing industry innovation network, and proposes a conceptual model and theoretical hypothesis that the innovation network based on the mediating effect of innovation capability affects the upgrade effect of the regional equipment manufacturing industry. Through a questionnaire survey of 219 enterprises in my country’s equipment manufacturing industry and structural equation model verification, it measures the action path and industrial upgrading law of innovation network influencing regional equipment manufacturing industry upgrading.


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