Structure of Chinese City Network as Driven by Technological Knowledge Flows

Based on patent cooperation data,this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows.The results revealed the spatial structure,composition structure,hierarchical structure,group structure,and control structure of Chinese city network,as well as its dynamic factors.The major findings are:1) the spatial pattern presents a diamond structure,in which Wuhan is the central city;2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network,it is weaker than the utility model patent;3) as the senior level cities,Beijing,Shanghai and the cities in the Zhujiang(Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge;4) whilst a national technology alliance has preliminarily formed,regional alliances have not been adequately established;5) even though the cooperation level amongst weak connection cities is not high,such cities still play an important role in the network as a result of their location within ′structural holes′ in the network;and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity,hierarchical proximity and technological proximity.

The Impact of Value-Added Trade on Global Economic Comovement

Using a value-added accounting framework,we conducted empirical research to analyze product value-added in accordance with the principle of value-sourcing and value-absorption areas,so as to decode"the trade-comovement puzzle."As our study shows,value-added trade can provide a significant positive stimulus for the economic comovement,but it is marked by asymmetry between hub and spoke countries with the former having a pivotal role.Our analysis of cohesive subgroups indicates that cohesive subgroups and value-added trade are complementary.When bilateral countries belong to the same subgroup,the intensity of their value-added trade exerts an increasing influence on the economic comovement.China has adopted a non-equilibrium opening up strategy and has actively boosted value-added linkages with hub countries;its utilization of the correlative effect of economic growth will enable it to achieve convergence with the growth of high-income economies.At the same time,China is taking advantage of being the core node in the Belt and Road trade network and is continuing to boost the construction of the Belt and Road Initiative,providing channels for countries along the Belt and Road to integrate into the global value-added system of division of labor and building a global economic environment that features win-win collaboration and co-development.

Social Network Analysis of Coauthor Networks in Inclusive Finance in China

The proposal and innovation of inclusive finance provide a very valuable pathway to realize social equity and eliminate poverty,which has attracted extensive attention,especially from developing countries.Based on the papers on inclusive finance published in the Chinese journal database CNKI from 2014 to 2018,we constructed an undirected weighted coauthor network 2154 authors.By employing social network analysis,we found that the number of authors in the field of inclusive finance increased rapidly.Although the cooperation between them was still very low and the cooperation authors were relatively fixed,the scale of cooperation was rapidly expanding.Although no scholar could always be at the center position in the coauthor network,the knowledge transfer path was significantly reduced.Financial universities and some financial institutions were the most important promoters of inclusive finance.Knowledge discovery in this field was promoted alternately by several center authors and cooperation by many scholars 2014-2018.We believe these discoveries are of great significance to promote knowledge sharing and innovation in the academic community of inclusive finance.