| Network and mechanism of China's new energy vehicle industry from the perspective of value chain | |
He, Yao1; Yang, YC(杨永春)1,2 ; Wang, Shaobo3 | |
| 2024-04 | |
| Source Publication | Journal of Geographical Sciences Impact Factor & Quartile Of Published Year The Latest Impact Factor & Quartile |
| ISSN | 1009-637X |
| EISSN | 1861-9568 |
| Volume | 34Issue:4Pages:779-803 |
| page numbers | 25 |
| Abstract | 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 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; Transformation 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 administrative boundaries and geographical proximities. |
| Keyword | value chain new energy vehicle industry listed company industrial network core-periphery structure |
| Publisher | SCIENCE PRESS |
| DOI | 10.1007/s11442-024-2227-x |
| Indexed By | SCIE |
| Language | 英语 |
| WOS Research Area | Physical Geography |
| WOS Subject | Geography, Physical |
| WOS ID | WOS:001204504100006 |
| Original Document Type | Article |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.lzu.edu.cn/handle/262010/588795 |
| Collection | 兰州大学 资源环境学院 |
| Affiliation | 1.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China; 2.Lanzhou Univ, Key Lab Western Chinas Environm Syst, Minist Educ Peoples Republ China, Lanzhou 730000, Peoples R China; 3.Lanzhou Univ, Inst Cty Econ Dev, Lanzhou 730000, Peoples R China |
| First Author Affilication | College of Earth Environmental Sciences |
| First Signature Affilication | College of Earth Environmental Sciences |
| Recommended Citation GB/T 7714 | He, Yao,Yang, Yongchun,Wang, Shaobo. Network and mechanism of China's new energy vehicle industry from the perspective of value chain[J]. Journal of Geographical Sciences,2024,34(4):779-803. |
| APA | He, Yao,Yang, Yongchun,&Wang, Shaobo.(2024).Network and mechanism of China's new energy vehicle industry from the perspective of value chain.Journal of Geographical Sciences,34(4),779-803. |
| MLA | He, Yao,et al."Network and mechanism of China's new energy vehicle industry from the perspective of value chain".Journal of Geographical Sciences 34.4(2024):779-803. |
| Files in This Item: | |||||
| File Name/Size | DocType | Version | Access | License | |
| He-2024-Network and （3382KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | Application Full Text |
