Citation: | ZHENG Minggui, WU Ping, YOU Biying. 2022: Economic security evaluation and early warning of iron ore resources in China. Geological Bulletin of China, 41(5): 836-845. DOI: 10.12097/j.issn.1671-2552.2022.05.009 |
Iron ore is an important strategic mineral resource, and its economic security is related to the overall situation of national economic and social development.In order to further study the economic security of iron ore resources in China, the evaluation index system of economic security of iron ore resources in China is constructed from three aspects of resources, import market and sustainable development.The improved TOPSIS method, obstacle degree model and GM(1, 1)-BP combination model are respectively used to evaluate the economic security of iron ore resources in China from 2001 to 2018, analyze the main obstacle factors and give early warning of the economic security of iron ore resources in 2020-2025.The results show that: ①From 2001 to 2018, the economic security level of iron ore resources in China showed a general trend of first decreasing and then increasing, and the security warning level experienced a change from blue warning to red warning and to orange warning; ②Among the first level indicators, the resource security closeness showed a fluctuating downward trend, the import market security closeness first increased and then decreased, and the sustainable development security closeness was in a fluctuating downward trend, but increased sharply after 2016;③The main obstacles affecting the economic security of iron ore resources are the reserve production ratio, the increment of proven reserves, the growth rate of exploration investment, the utilization rate of resource recovery and the relative abundance of resources; ④From 2020 to 2025, the economic security closeness of iron ore resources in China will show a downward trend, and the security warning level will rise from orange warning to red warning.
赵文报, 李英. "走出去"化解钢铁行业产能过剩问题研究[J]. 河北经贸大学学报, 2018, 39(2) : 78-86. https://www.cnki.com.cn/Article/CJFDTOTAL-HBJM201802012.htm
|
王勋, 韩跃新, 李艳军, 等. 钒钛磁铁矿综合利用研究现状[J]. 金属矿山, 2019, (6) : 33-37. https://www.cnki.com.cn/Article/CJFDTOTAL-JSKS201906006.htm
|
张泾生. 我国铁矿资源开发利用现状及发展趋势[J]. 钢铁, 2007, (2) : 1-6. https://www.cnki.com.cn/Article/CJFDTOTAL-GANT200702000.htm
|
张艳飞, 陈其慎, 于汶加, 等. 2015—2040年全球铁矿石供需趋势分析[J]. 资源科学, 2015, 37(5) : 921-932. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZY201505009.htm
|
Ma Y. Iron ore spot price volatility and change in forward pricing mechanism[J]. Resources Policy, 2013, 38(4) : 621-627. doi: 10.1016/j.resourpol.2013.10.002
|
Wårell L. The effect of a change in pricing regime on iron ore prices[J]. Resources Policy, 2014, 41: 16-22. doi: 10.1016/j.resourpol.2014.02.002
|
朱永光, 徐德义, 成金华, 等. 国际铁矿石贸易空间互动过程及中国进口策略分析[J]. 资源科学, 2017, 39(4) : 664-677. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZY201704008.htm
|
Hao X, An H, Sun X, et al. The import competition relationship and intensity in the international iron ore trade: from network perspective[J]. Resources Policy, 2018, 57: 45-54. doi: 10.1016/j.resourpol.2018.01.005
|
Zhang L, Bai W, Yu J, et al. Critical mineral security in China: an evaluation based on hybrid MCDM methods[J]. Sustainability, 2018, 10(11) : 4114. doi: 10.3390/su10114114
|
吴新春. 中国铁矿石资源供应安全研究[D]. 武汉理工大学博士学位论文, 2011.
|
Huang J, Liu J, Zhang H, et al. Sustainable risk analysis of China's overseas investment in iron ore[J]. Resources Policy, 2020, 68: 101771. doi: 10.1016/j.resourpol.2020.101771
|
贺喜, 张举钢, 周吉光, 等. 河北省铁矿资源保障能力分析[J]. 地球学报, 2013, 34(6) : 731-737. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXB201306012.htm
|
刘贤信. 基于SPSS的我国铁矿石供应安全评价[J]. 金属矿山, 2010(10) : 34-37. https://www.cnki.com.cn/Article/CJFDTOTAL-JSKS201010013.htm
|
王贵成. 我国铁矿资源安全现状综合评价[J]. 矿业研究与开发, 2011, 31(5) : 121-124. https://www.cnki.com.cn/Article/CJFDTOTAL-KYYK201105035.htm
|
范松梅, 沙景华, 闫晶晶, 等. 中国铁矿石资源供应风险评价与治理研究[J]. 资源科学, 2018, 40(3) : 507-515. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZY201803006.htm
|
Hou Y B, Yang J. Application of rough fuzzy neural network in iron ore import risk early-warning[C]//Berlin Heidelberg: Advances in Neural Networks - ISNN 2010, 2010: 432-438.
|
闫军印, 齐阔. 区域矿产资源可供性评价及风险分析——以河北省铁矿资源为例[J]. 地质与勘探, 2018, 54(2) : 426-434. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKT201802022.htm
|
王伯安, 张德胜. 中国石油经济安全评价指标体系设计[J]. 科学学与科学技术管理, 2010, (1) : 141-144. https://www.cnki.com.cn/Article/CJFDTOTAL-KXXG201001029.htm
|
张吉军. 论我国矿产资源经济安全[J]. 科技进步与对策, 2005, (3) : 44-46. https://www.cnki.com.cn/Article/CJFDTOTAL-KJJB200503014.htm
|
李宪海, 王丹, 吴尚昆. 我国战略性矿产资源评价指标选择: 基于美国、欧盟等关键矿产名录的思考[J]. 中国矿业, 2014, 23(4) : 30-33. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA201404010.htm
|
Gong C, Gong N, Qi R, et al. Assessment of natural gas supply security in Asia Pacific: composite indicators with compromise benefit- of-the-doubt weights[J]. Resources Policy, 2020, 67: 101671.
|
任晓娟, 范凤岩, 柳群义, 等. 中国铝土矿的供应安全评价[J]. 中国矿业, 2019, 28(7) : 52-59. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA201907010.htm
|
蒋佐斌, 贺瑞, 张欢. 中国铁矿资源循环经济政策矩阵研究[J]. 生态经济, 2010, (6) : 78-81. https://www.cnki.com.cn/Article/CJFDTOTAL-STJJ201006021.htm
|
张会清. 中国铁矿石进口风险的量化评估——兼评进口多元化策略的成效[J]. 国际经贸探索, 2014, 30(1) : 44-56. https://www.cnki.com.cn/Article/CJFDTOTAL-GJTS201401004.htm
|
邵安林. 铁矿资源战略与矿冶工程管理——"五品联动"模式的工程哲学思考[J]. 科研管理, 2013, 34(8) : 158-164. https://www.cnki.com.cn/Article/CJFDTOTAL-KYGL201308019.htm
|
姚震, 黎江峰, 吴巧生, 等. 中国天然气资源安全态势分析[J]. 地质通报, 2018, 37(7) : 1374-1378. http://dzhtb.cgs.cn/gbc/ch/reader/view_abstract.aspx?file_no=20180721&flag=1
|
国土资源部矿产资源储量司. 2018年全国矿产资源储量通报[M]. 北京: 中华人民共和国国土资源部, 2019.
|
《中国钢铁工业年鉴》编辑委员会. 中国钢铁工业年鉴2002-2019[M]. 北京: 《中国钢铁工业年鉴》编辑部, 2002-2019.
|
UNComtrade Database. Trade Statistics[EB/OL]. (2020-10-04)[2020-12-10]. https://comtrade.un.org/data.
|
中华人民共和国国家统计局. 国家数据[EB/OL]. (2020-10-15)[2020-11-20]. http://data.stats.gov.cn/easyquery.htm?cn=C01.
|
中华人民共和国国土资源部. 中国国土资源年鉴2001-2016[M]. 北京: 中国国土资源年鉴编辑部, 2001-2016.
|
中华人民共和国自然资源部. 中国矿产资源报告[EB/OL]. (2020-10-20)[2020-12-15]. http://www.mnr.gov.cn/sj/sjfw/kc_19263/zgkczybg/.
|
中华人民共和国国土资源部. 中国矿产资源年报[M]. 北京: 中华人民共和国国土资源部, 2016.
|
BIR.Ferrous Metals[EB/OL].(2020-10-11)[2020-12-18]. https://www.bir.org/the-industry/ferrous-metals.
|
U.S.Geological Survey.Mineral Commodity Summaries[EB/OL].(2020-10-17)[2020-12-20]. https://www.usgs.gov/centers/nmic/mineral-commodity-summaries.
|
World Bank.World Population[EB/OL].(2020-10-15)[2020-11-30].https://data.worldbank.org.cn/indicator/SP.POP.TOTL.
|
World Bank.Worldwide Governance Indicators[EB/OL].(2020- 10-15)[2020-11-30].https://databank.worldbank.org/reports.aspx?source=worldwide-governance-indicators.
|
Hwang C L, Yoon K P. Multiple attribute decision making: methods and applications[M]. Berlin, Germany: Sprinter-Verlag, 1981.
|
徐美, 刘春腊, 李丹, 等. 基于改进TOPSIS-灰色GM(1, 1) 模型的张家界市旅游生态安全动态预警[J]. 应用生态学报, 2017, 28(11) : 3731-3739. https://www.cnki.com.cn/Article/CJFDTOTAL-YYSB201711032.htm
|
孙涵, 聂飞飞, 胡雪原. 基于熵权TOPSIS法的中国区域能源安全评价及差异分析[J]. 资源科学, 2018, 40(3) : 477-485. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZY201803003.htm
|
赵宏波, 马延吉. 东北粮食主产区耕地生态安全的时空格局及障碍因子——以吉林省为例[J]. 应用生态学报, 2014, 25(2) : 515-524. https://www.cnki.com.cn/Article/CJFDTOTAL-YYSB201402029.htm
|
韩锦辉, 赵文晋, 杨天通, 等. 基于改进TOPSIS法的东北农牧交错区土地可持续利用评价及障碍因子诊断[J]. 水土保持研究, 2018, 25(3) : 279-284, 291. https://www.cnki.com.cn/Article/CJFDTOTAL-STBY201803044.htm
|
陈福集, 史蕊. 基于残差修正的多因素灰色模型的网络舆情预测研究[J]. 情报科学, 2017, 35(9) : 131-135. https://www.cnki.com.cn/Article/CJFDTOTAL-QBKX201709021.htm
|
范中洲, 赵羿, 周宁, 等. 基于灰色BP神经网络组合模型的水上交通事故数预测[J]. 安全与环境学报, 2020, 20(3) : 857-861. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202003009.htm
|
徐美, 朱翔, 刘春腊. 基于RBF的湖南省土地生态安全动态预警[J]. 地理学报, 2012, 67(10) : 1411-1422. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201210014.htm
|
闫金凯, 赵银鑫, 王志恒, 等. 银川市地下空间资源综合质量评价[J]. 地质通报, 2021, 40(10) : 1636-1643. http://dzhtb.cgs.cn/gbc/ch/reader/view_abstract.aspx?file_no=20211005&flag=1
|
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