scholarly journals Research on Knowledge Elements of Independent Innovation of Enterprises

Author(s):  
Gang Li
2021 ◽  
Vol 13 (5) ◽  
pp. 2730
Author(s):  
Yuan Zhao ◽  
Tian Zhang ◽  
Ting Wu ◽  
Shujing Xu ◽  
Shuwang Yang

Technological progress has always been regarded as an important factor affecting haze pollution. A large number of academic studies have focused on the effect of technological progress on haze pollution, but there are few discussions on the effects of technological progress from different sources. In view of this, a dynamic panel model is constructed, and a systematic generalized method of moments (GMM) method is applied to empirically test the overall impact of technological progress from different sources on haze pollution and the regional heterogeneity of the impact. The results show that the overall and regional impact of technological progress from different sources on haze pollution is entirely different. Among them, for the whole country, independent innovation has a significant inhibitory effect on haze pollution, and technology introduction has aggravated haze pollution to a certain extent. At the regional level, all types of technological progress in the east can effectively reduce haze, the central region having haze reduction results consistent with the overall national level, and in the west, independent innovation and direct introduction can effectively reduce haze, while reverse technology spillover is ineffective. Therefore, policy recommendations such as improving the ability of independent innovation, improving the quality of technology introduction, and coordinating regional technology against haze are put forward.


2014 ◽  
Vol 687-691 ◽  
pp. 2909-2912 ◽  
Author(s):  
Liang Hu ◽  
Gan Lan Yan ◽  
Long Li

During the course of building an innovative country and enhancing the independent innovation capability, universities are the main force and the important source of high-tech innovation. The evaluation on the university's innovation ability, not only may improve university's efficiency and level of scientific research, but also make a significant sense to perfect the china' scientific research innovation system. Based on Referring to the recent research achievements at home and abroad, research and design work was carried out in the following area. Firstly, the multi-university research innovation ability evaluating indicator system is designed in this paper. By the principle of science and justice, through questionnaires, expert opinion and reference to relevant research results. The paper designed the multi-university's research innovation ability evaluating indicator system. A variety of typical evaluation models and methods are studied. Then two evaluation models between PCA-BP and PCA-FNN are taken into comparison. And the results show that the research and application of PCA-FNN is proved to be a new method and made a significant attempt for the university’s evaluation of research innovation ability.


2021 ◽  
Vol 235 ◽  
pp. 03032
Author(s):  
Dong Li ◽  
Chunyan Liu

Regional innovation network has become an important way to improve national independent innovation ability and promote regional and social development. This paper studies the evolution of the synergetic innovation system of industry-university-Research Collaboration under the government behaviour, constructs an asymmetric evolutionary game model between the government and industry-university Research collaboration, and analyses the influence of parameter changes on synergetic innovation decisionmaking behaviour. The results showed that the government’s regulatory costs, subsidies from the government, the production, will take the profit resulting from the synergetic innovation behavior, coordination costs and government punishment, and one party to the cooperative behaviour decision to bring the other side of the loss factors such as size, to participate in Innovation decision-making behaviour of the subject of dynamic evolution path and the results have important influence to the use of MATLAB software evolution paths of related factors under different conditions and the trend of simulation test and verify.


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