湖北第二师范学院（Hubei University of Education），简称“湖北二师” ，位于素有“九省通衢”之称的湖北省武汉市，是一所以“教师教育”为主要特色，教育学、理学、工学、文学、管理学和艺术学等学科为支撑的省属全日制普通本科高校，是湖北省教师教育的重要基地之一，为“湖北省2011计划”牵头高校和教育部“互联网+中国制造2025”产教融合促进计划建设院校。 湖北第二师范学院源于1931年成立的湖北省立教育学院，1944年改建为国立湖北师范学院，1949年复建为湖北省教育学院，此后数迁校址、数易校名。1990年，学校更名为湖北教育学院。2003年，学校迁至武汉中国光谷园区内，同年兼并湖北省工业学校。2007年，经国家教育部批准同意，学校改制更名为湖北第二师范学院。2009年，湖北省经济管理干部学院整体并入。 截至2019年12月，湖北第二师范学院校园占地面积1718亩，建筑面积43.7万平方米；有教职工1191人，专任教师765人，其中高级职称教师368人；设有15个二级学院，开办55个普通本科专业，有全日制在校生1.6万多人。
[Objective] Rare mineral resources are critical raw materials supporting strategic emerging industries such as new energy and new materials, and their supply security has become a major concern in resource risk governance for major countries worldwide. This study aims to identify and evaluate the evolutionary characteristics of supply risks across the entire product chain of rare mineral resources required by China’s strategic emerging industries, and to provide early warning of future risk trends, thereby providing a scientific basis for resource security planning in related Chinese industries. [Methods] A “risk triangle” analytical framework—comprising hazard, exposure, and vulnerability—was developed to elucidate the formation mechanisms of supply risks across the entire product chain of rare mineral resources. Five key resources critical to the development of China’s strategic emerging industries—lithium (Li), beryllium (Be), niobium (Nb), tantalum (Ta), and zirconium (Zr)—were selected, and their supply risks from upstream primary mineral products to downstream end-use products from 2010 to 2020 were quantified and classified using the BGR-VW method. Furthermore, a GM(1,1) grey prediction model was employed to provide early warning for supply risks of these resources from 2025 to 2030. [Results] (1) Li and Be exhibited relatively low supply risks (“relaxed” level). Nb and Ta maintained “moderate” risk levels throughout the study period, with Nb’s average risk and Ta’s risk volatility exceeding those of Li and Be. The average supply risk of Zr was high (“tight” level), imposing severe constraints on downstream new materials industries. (2) The sources of supply risk for different resources exhibited heterogeneous characteristics. Li’s supply risk was jointly driven by hazard and vulnerability. Be’s supply risk was primarily influenced by persistently high hazard levels and relatively wide fluctuations in exposure. Nb’s risk arose predominantly from exposure. Ta’s risk was driven by both hazard and exposure. Zr’s risk was driven by exposure and vulnerability. (3) During 2025-2030, Li, Nb, and Ta were projected to maintain “relaxed” supply risk levels. The supply risk of Be would rise from “relaxed” to “tight” level, and the supply risk of Zr would remain at the “tight” level. [Conclusion] Based on the identified driving factors and future evolution trends of supply risks across China’s entire rare mineral product chain, it is recommended to optimize the “hazard-exposure-vulnerability” triangle framework to selectively reduce supply risks of rare mineral resources. This approach aims to provide robust support for the development of strategic emerging industries and ensure their stable and healthy operation.
