Spatiotemporal evolution of technology transfer network based on the date of patent transfer in China's new energy industry
The construction and improvement of the new energy industry technology transfer system is of great significance for promoting the high-quality transformation of the energy structure,the industrialization of scientific and technological achievements,and the close integration of economic development and scientific and technological innovation,and provides strong technical support for achieving carbon peaking and carbon neutrality goals.Based on the patent data of China's new energy technology from the State Intellectual Prop-erty Office from 2001 to 2019,the study analyzes the spatio-temporal pattern of technology transfer network complexity in China's new energy industry by constructing a directed weighted network of technology transfer,through the methods of complex network analysis,module mining,directed alternative centrality and directed alternative power model analysis.The research found that:1)The technology transfer of China's new energy industry has developed rapidly,and the participation of cities has been continuously increased,and the region-al restrictions have been continuously broken.2)The overall network structure shows that the scale of China's new energy technology transfer network continues to expand,the agglomeration situation increases,and the correlation improves as a whole.But there are disadvantages such as the stability of network correlation is not strong and the network interoperability is weak.National central cities such as Beijing,Shanghai,and Shen-zhen play a spatial diffusion/agglomeration effect.The new energy technology transfer diffusion follows the technology gradient transfer law.3)Module analysis finds that the network continuously forms a highly local-ized clustering characteristic of triadic closure,and the transfer effect of cities occupying structural hole loca-tions similarly accelerates technology transfer.4)The urban network power level can be classified as either core cities,with high centrality and high power,or peripheral cities,with low centrality and low power.The damping effect of distance influences the degree connection within a city.Other relationships exist,such as center city clusters,with high center and low power,and powerful gateway cities,with low centrality and high power cities.
new energy industrytechnology transfercomplex networknetwork motifsdirected alternative centralitydirected alternative power
NETL
NSTL
万方数据
