摘要
铬铁矿作为我国最短缺的战略性矿产资源之一,战略意义极为重大。为了确保各贸易国铬铁矿供给安全,本文研究铬铁矿国际贸易的时空特征,以便探索铬铁矿国际贸易的供给关系。本文基于复杂网络理论,利用2009-2018年铬铁矿国际贸易数据,构建了有向加权网络模型,分别从复杂网络的整体特征、节点国家度值幂律分布特征、贸易核心国家的识别及其在国际贸易网络中承担的角色等进行分析,以期获得铬铁矿国际贸易时空格局和演化特征。结果表明,铬铁矿贸易呈经济全球化趋势发展,但贸易份额仍集中在少数国家,即少数国家控制或传导铬铁矿贸易,始终处于贸易核心地位,中国和南非在全球铬铁矿贸易中处于最核心的地位,其中,中国是铬铁矿贸易主要的进口国,南非是主要的出口国。
As one of the scarcest strategic mineral resources in China,chromite is of great strategic significance.In order to ensure the supply security of chromite in each trading country,this paper studies the temporal and spatial characteristics of chromite international trade to explore the supply relationship of chromite international trade.Based on the complex network theory,using the international trade data of chromite from 2009 to 2018,this paper constructs a directed weighted network model,and analyzes the overall characteristics of the complex network,the power-law distribution characteristics of degree value of node countries,the identification of trade core countries and their roles in the international trade network,in order to obtain the spatial-temporal pattern and evolution characteristics of chromite international trade.The results show that the chromite trade is developing in the trend of economic globalization,but the trade share is still concentrated in a few countries.The chromite trade is controlled and conducted by a few countries,which is always at the core of the trade.China and South Africa bear the most core position in the global chromite trade,in which China is the main importer of chromite trade,and South Africa is the main exporter.
作者
赵素彦
董志良
刘森
ZHAO Suyan;DONG Zhiliang;LIU Sen(School of Management,Hebei GEO University,Shijiazhuang 050031,China;Strategy and Management Base of Mineral Resources in Hebei Province,Hebei GEO University,Shijiazhuang 050031,China;Natural Resource Asset Capital Research Center,Hebei GEO University,Shijiazhuang 050031,China)
出处
《中国矿业》
2021年第5期65-71,共7页
China Mining Magazine
基金
国家社科基金项目资助(编号:17BGL202)。
关键词
铬铁矿
国际贸易
复杂网络
贸易格局
chromite
international trade
complex network
trade pattern
