Based on the statistical mechanics and technology innovation network, this paper analyzed network evolutional mechanics, and constituted its evolutional model.
This study analyzes the evolution of China's green technology innovation cooperation network from 2011 to 2020,utilizing green patent application data.Employing a Spatial Durbin Model(SDM),we scrutinized the netwo...This study analyzes the evolution of China's green technology innovation cooperation network from 2011 to 2020,utilizing green patent application data.Employing a Spatial Durbin Model(SDM),we scrutinized the network's influence on urban carbon emissions,utilizing panel data encompassing 323 city nodes.Results show network expansion and a shift in central nodes from eastern coastal areas to interior cities,with Beijing,Shenzhen,Nanjing,and Shanghai consistently acting as key innovation hubs.A core-periphery structure emerged,clustering cities into high-and low-cooperation clusters.Core cities,particularly Beijing,which gain informational advantages by bridging non-overlapping nodes and exhibit distinct characteristics in terms of the structural hole indexes,reflecting their multifaceted roles within the network.SDM analysis indicates that the green technology innovation cooperation network has a significant positive impact on urban carbon reduction efforts.Specifically,degree centrality,closeness centrality,effective size,efficiency,and hierarchy of node cities exhibit a negative correlation with carbon emissions,suggesting that higher centrality and efficiency within the network correlate with lower emissions.Conversely,betweenness centrality and constraint have a positive impact on emissions,indicating that cities that act as bridges in the network may paradoxically contribute to higher emissions.Moreover,the network's influence on carbon emissions is nuanced across different green technology sectors.Cooperation in areas such as waste management,alternative energy production,energy conservation,agriculture and forestry,and transportation is found to have a more substantial impact on carbon reduction than cooperation in nuclear power,and administrative,regulatory,and design fields.展开更多
Growing competition has prompted enterprises to choose construct Technological Innovation Network to promote innovation, however the innovation network is a risky innovation system, how to carry out a comprehensive ri...Growing competition has prompted enterprises to choose construct Technological Innovation Network to promote innovation, however the innovation network is a risky innovation system, how to carry out a comprehensive risk assessment of the innovation network is particularly important. This paper focused on the technological innovation network risk analysis, used extenics to define which risk levels should these various risk factors in technological innovation network belongs to. And used Shanghai Caohejing hi tech park to do the empirical research, comfirmed risk factors which have the larger influence on technological innovation network.Enterprises can face them as the main objects of enterprise risk managemenL in order to improve the success rate of the innovation of the enterprise technological innovation network.展开更多
Growing competition has prompted enterprises to choose construct Technological Innovation Network to promote innovation, however the innovation network is a risky innovation system, how to carry out a comprehensive ri...Growing competition has prompted enterprises to choose construct Technological Innovation Network to promote innovation, however the innovation network is a risky innovation system, how to carry out a comprehensive risk assessment of the innovation network is particularly important. This paper focused on the technological innovation network risk analysis, used extenics to define which risk levels should these various risk factors in technological innovation network belongs to. And used Shanghai Caohejing hi tech park to do the empirical research, comfirmed risk factors which have the larger influence on technological innovation network.Enterprises can face them as the main objects of enterprise risk management, in order to improve the success rate of the innovation of the enterprise technological innovation network.展开更多
文摘Based on the statistical mechanics and technology innovation network, this paper analyzed network evolutional mechanics, and constituted its evolutional model.
基金supported by the National Natural Science Foundation of China(72573020,72103022).
文摘This study analyzes the evolution of China's green technology innovation cooperation network from 2011 to 2020,utilizing green patent application data.Employing a Spatial Durbin Model(SDM),we scrutinized the network's influence on urban carbon emissions,utilizing panel data encompassing 323 city nodes.Results show network expansion and a shift in central nodes from eastern coastal areas to interior cities,with Beijing,Shenzhen,Nanjing,and Shanghai consistently acting as key innovation hubs.A core-periphery structure emerged,clustering cities into high-and low-cooperation clusters.Core cities,particularly Beijing,which gain informational advantages by bridging non-overlapping nodes and exhibit distinct characteristics in terms of the structural hole indexes,reflecting their multifaceted roles within the network.SDM analysis indicates that the green technology innovation cooperation network has a significant positive impact on urban carbon reduction efforts.Specifically,degree centrality,closeness centrality,effective size,efficiency,and hierarchy of node cities exhibit a negative correlation with carbon emissions,suggesting that higher centrality and efficiency within the network correlate with lower emissions.Conversely,betweenness centrality and constraint have a positive impact on emissions,indicating that cities that act as bridges in the network may paradoxically contribute to higher emissions.Moreover,the network's influence on carbon emissions is nuanced across different green technology sectors.Cooperation in areas such as waste management,alternative energy production,energy conservation,agriculture and forestry,and transportation is found to have a more substantial impact on carbon reduction than cooperation in nuclear power,and administrative,regulatory,and design fields.
文摘Growing competition has prompted enterprises to choose construct Technological Innovation Network to promote innovation, however the innovation network is a risky innovation system, how to carry out a comprehensive risk assessment of the innovation network is particularly important. This paper focused on the technological innovation network risk analysis, used extenics to define which risk levels should these various risk factors in technological innovation network belongs to. And used Shanghai Caohejing hi tech park to do the empirical research, comfirmed risk factors which have the larger influence on technological innovation network.Enterprises can face them as the main objects of enterprise risk managemenL in order to improve the success rate of the innovation of the enterprise technological innovation network.
文摘Growing competition has prompted enterprises to choose construct Technological Innovation Network to promote innovation, however the innovation network is a risky innovation system, how to carry out a comprehensive risk assessment of the innovation network is particularly important. This paper focused on the technological innovation network risk analysis, used extenics to define which risk levels should these various risk factors in technological innovation network belongs to. And used Shanghai Caohejing hi tech park to do the empirical research, comfirmed risk factors which have the larger influence on technological innovation network.Enterprises can face them as the main objects of enterprise risk management, in order to improve the success rate of the innovation of the enterprise technological innovation network.
