<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">ASDS</journal-id><journal-title-group><journal-title>Applied Statistics and Data Science</journal-title></journal-title-group><issn>3066-8433</issn><eissn>3066-8441</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ASDS.2025100013</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>“一带一路”稀土产业链网络演化特征及脆弱性研究</title><url>https://artdesignp.com/journal/ASDS/1/10/10.61369/ASDS.2025100013</url><author>赵军产,邓涛,万子健</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>1</volume><issue>10</issue><history><date date-type="pub"><published-time>2025-12-20</published-time></date></history><abstract>稀土在国防建设、航空航天以及新能源、新材料等新兴领域，起着不可或缺的作用，为准确把握&amp;ldquo;一带一路&amp;rdquo;稀土产业链情况，本文运用复杂网络理论以及蒙特卡洛模拟，对&amp;ldquo;一带一路&amp;rdquo;稀土产业链的上、中、下游产品展开研究。研究结果表明：&amp;ldquo;一带一路&amp;rdquo;稀土产业链发展态势日益向好；下游稀土产品在贸易额上占据主导地位，且聚类系数更大；整个稀土网络具备小世界网络特性，有较高的网络连通性和凝聚力；中国、印度、土耳其、阿联酋、俄罗斯为稀土产业链中的枢纽国家；中国在&amp;ldquo;一带一路&amp;rdquo;稀土产业链中的影响力越来越大，且有着不可替代的关键作用。</abstract><keywords>稀土产业链,“一带一路”,复杂网络,结构脆弱性</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]Hurst C. China&amp;rsquo;s Rare Earth Elements Industry:What Can the West Learn?[R]. Washington:Institute for the Analysis of Global Security,2010.[2]Looney R. Recent developments on the rare earth Front:Evidence of a n-ew technocratic mercantilism emerging in China[J]. World Economics, 2011,12(1)-78.[3]郑书青,刘雨斐.基于GRACH-MIDAS模型的地缘政治不确定性对国际稀土价格波动影响的理论与政策研究[J].中国商论,2022(20):40-42.[4]罗翔,李政,赖丹.中国稀土矿产品价格波动的经济后果及影响因素研究[J].价格月刊,2023(08):8-17.[5]杨斌清,张希琳.基于ARIMA时间序列模型的稀土氧化物价格预测研究[J].中国稀土学报,2017,35(05):680-686.[6]Serrano M A, Boguna M. Topology of the World Trade Web[J]. Phys Rev E Stat Nonlin Soft Matter Phys,2003,68(2):015101.[7]马述忠,任婉婉,吴国杰.一国农产品贸易网络特征及其对全球价值链分工的影响&amp;mdash;&amp;mdash;基于社会网络分析视角[J].管理世界,2016(03):60-72.[8]Zhang, Chi, Jiasha Fu, and Zhengning Pu. A study of the petroleum trade network of countries along &amp;ldquo;The Belt and Road Initiative&amp;rdquo;[J]. Journal of Cleaner Production 222 (2019): 593-605.[9]Guo, Yaoqi, Boya Zhao, and Hongwei Zhang. The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective[J]. Energy 263 (2023): 125912.[10]蒋培祥,董志良,张翠芝,等.常规能源国际贸易网络演化特征研究[J].复杂系统与复杂性科学, 2021, 18(04): 66-73.[11]陈健,吴楠.世界稀土资源现状分析与我国稀土资源可持续发展对策[J].农业现代化研究,2012,33(01):74-77.[12]Rybak A, Kolev S D. A synthetic measure of energy security taking intoaccount the influence of rare earth metals. The case of Poland[J]. Energy Reports, 2023, 10: 1474-1484.[13]Yu G. Evolutionary analysis of the global rare earth trade networks[J]. Applied Mathematics and Computation, 2022, 430: 127249.[14]Hu X, Sun B, Wang C. Impacts of China&amp;rsquo;s exports decline in rare earth primary materials from a trade network-based perspective[J]. Resources Policy, 2023, 81: 103321.[15]Xu X, Zhu Y, Xu M, et al. Vulnerability analysis of the global liner shipping network: from static structure to cascading failure dynamics [J]. Ocean &amp;amp; Coastal Management, 2022, 229: 106325.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
