首页|Network and mechanism of China's new energy vehicle industry from the perspective of value chain
Network and mechanism of China's new energy vehicle industry from the perspective of value chain
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NSTL
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Based on the data of listed companies in the core industry chain of China's new energy vehicles in 2015 and 2021,this paper constructs their industrial network from the perspective of the value chain,and uses methods such as social network and negative bi-nomial regression model to study the characteristics,evolution,differences,and formation mechanisms of different value chain networks.The results show that:(1)R&D-oriented,production-oriented,and service-oriented networks share several common features:These networks are simultaneously expanding in scale and transitioning towards more efficient"small world"network;The degree distribution in these networks follows a power-law distri-bution,indicating a scale-free network structure;There is a decrease in the power-law ex-ponent of network's degree distribution,indicating an increase in network heterogeneity.Furthermore,there is a significant positive correlation between the degrees of nodes in net-works with diverse value chains,suggesting that the same node holds a similar level of sig-nificance across different networks.(2)The number of power-prestige,power and prestige nodes increases in the networks of all value chain segments,except in the service-oriented network,where there are no power nodes.In each value chain network,these nodes have different agglomeration directions:In R&D-oriented network,the nodes tend to cluster around headquarters and high-level cities.In contrast,service-oriented network shows a concentra-tion of nodes in municipalities,sub-provincial and provincial capitals.Similarly,produc-tion-oriented network demonstrates a clustering of nodes in traditional production bases.(3)Different value-added segments of industry form different types of agglomeration in pursuit of different factor endowments and agglomeration effect,and form the spatial structure of the strongest connection industrial network with different characteristics.The R&D-oriented networks have always been an integrated and closely connected multiple core-periphery structure community with the influence of social,technological and geographical proximities;Transformation of service-oriented network from an integrated and closely connected multiple core-periphery structure community to a multiple core-semi-periphery-periphery structure community with the influence of social,geographical and institutional proximities;Transfor-mation of production-oriented network from the partially integrated and localized core-periphery structure community to the more decentralized multiple independent core-periphery structure community with the influence of the social,institutional of adminis-trative boundaries and geographical proximities.
value chainnew energy vehicle industrylisted companyindustrial networkcore-periphery struc-ture
HE Yao、YANG Yongchun、WANG Shaobo
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College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China
Key Laboratory of Western China's Environmental Systems,Ministry of Education of the People's Republic of China,Lanzhou University,Lanzhou 730000,China
Institute of County Economic Development,Lanzhou University,Lanzhou 730000,China
国家自然科学基金Second Tibetan Plateau Scientific Expedition and Research Program(STEP)
NETL
NSTL
万方数据
