ENDOGENOUS DRIVERS OF DYNAMIC EVOLUTION OF GLOBAL COBALT INDUSTRIAL CHAIN NETWORK

doi:10.13776/j.cnki.resourcesindustries.20241029.003

Abstract

Abstract: Most countries largely depend upon external cobalt sourcing due to its low reserve and production and uneven distribution as one of strategic and critical minerals during green low-carbon transformation, which makes cobalt global trading a complicated network. This paper selects a variety of cobalt commodities at different stages to establish a global cobalt industrial chain network, and studies the endogenous drivers of structural formation and dynamic evolution of global cobalt industrial chain network by means of multiple-layered network index random graph model and time index random graph model. In cobalt industrial chain, same network endogenous structures equally impact its structural formation at different stages with varying impacting extent. Mutual-beneficial effect, structural dependence effect and time dependence effect notably impact the dynamic evolution of global cobalt industrial chain. This study expands impacting mechanisms of dynamic evolution of global trade network to multiple commodities in industrial chain, offering references for construction and restoration, risks transmission, and measures of global cobalt trading network from perspective of industrial chain.

Key words: cobalt industrial chain, multiple-layered network, dynamic evolution, multiple-layered index random graph model, time index random graph model;endogenous drivers

摘要： 绿色低碳转型背景下战略性、关键性矿产之一钴由于资源储量和产量低，分布不均衡等特点使得全球各国钴的对外依存度极高，国家（地区）间通过钴的进出口贸易形成了复杂的钴国际贸易网络。本研究选取钴产业链不同阶段的多种商品构建了全球钴产业链网络，通过多层网络指数随机图模型和时间指数随机图模型探讨了影响全球钴产业链网络结构形成与动态演化的内生驱动因素。研究发现钴产业链中不同阶段相同网络内生结构特征对全球钴产业链网络结构形成的影响是一致的，但影响程度有较大程度区别，互惠效应、结构依赖效应和时间依赖效应对全球钴产业链网络动态演化具有显著影响。本研究将国际贸易网络动态演化影响机制研究拓展至产业链视角下的多类商品，为产业链视角下钴国际贸易网络构建与恢复、风险传播与应对等研究提供了一定的启示作用。

关键词: 钴产业链, 多层网络, 动态演化, 多层指数随机图模型, 时间指数随机图模型, 内生驱动因素

CLC Number:

F205

WANG Yanli, LI Huajiao, GUAN Jianhe. ENDOGENOUS DRIVERS OF DYNAMIC EVOLUTION OF GLOBAL COBALT INDUSTRIAL CHAIN NETWORK[J]. Resources & Industries, 2024, 26(5): 128-144.

王雁莉, 李华姣, 管建和. 全球钴产业链网络动态演化内生驱动因素研究[J]. 资源与产业, 2024, 26(5): 128-144.

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