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作 者:何瑶 杨永春 王绍博 HE Yao;YANG Yongchun;WANG Shaobo(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)
机构地区:[1]College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China [2]Key Laboratory of Western China's Environmental Systems,Ministry of Education of the People's Republic of China,Lanzhou University,Lanzhou 730000,China [3]Institute of County Economic Development,Lanzhou University,Lanzhou 730000,China
出 处:《Journal of Geographical Sciences》2024年第4期779-803,共25页地理学报(英文版)
基 金:National Natural Science Foundation of China,No.41971198;The Second Tibetan Plateau Scientific Expedition and Research Program,No.2019QZKK1005。
摘 要: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 binomial 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 distribution,indicating a scale-free network structure;There is a decrease in the power-law exponent of network's degree distribution,indicating an increase in network heterogeneity.Furthermore,there is a significant positive correlation between the degrees of nodes in networks with diverse value chains,suggesting that the same node holds a similar level of significance 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 concentration of nodes in municipalities,sub-provincial and provincial capitals.Similarly,production-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 commun
关 键 词:value chain new energy vehicle industry listed company industrial network core-periphery structure
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