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海外矿产资源投资优选评价
引用本文:范凤岩,刘冲昊,柳群义.海外矿产资源投资优选评价[J].矿产保护与利用,2018,0(1):17-23.
作者姓名:范凤岩  刘冲昊  柳群义
作者单位:1.中国地质科学院全球矿产资源战略研究中心,北京 100037
基金项目:中国地质调查局地质调查项目"中国能源与矿产资源安全动态评价与决策支持系统建设"DD20160084
摘    要:投资海外矿产资源不仅能够保障国内短缺资源的安全和稳定供应,而且对中国矿业企业参与激烈的国际市场竞争也大有裨益。现有研究大多采用定性研究,而已有的定量研究多以风险评价为主,评价方法也常采用主观赋权法,无法保证评价结果的客观性。为了指导中国矿业公司"走出去",从经济地位、国际市场供应风险、应用前景和中国因素四个维度出发,选取十个指标建立海外矿产资源投资优选评价指标体系;以21种主要的金属矿产资源为研究对象,通过熵权法客观确定指标权重,然后利用加权TOPSIS方法测度并构建评价模型。两种定量方法的结合提高了评价结果的客观性和准确性。结果显示熵权TOPSIS模型可以用于多指标的矿产资源优选排序。根据结果将矿产资源种类按海外投资的优先顺序分为三类:优先投资的矿产资源包括金、铜、钴、锌、铬、镍、富铁矿;具有投资潜力的矿产资源包括铝、锰、铂族、银、锡;其他矿产资源投资潜力较弱。所得的研究结果具有一定的合理性,可以为企业的投资决策提供参考。 

关 键 词:矿产资源    海外投资    优选    评价
收稿时间:2017-12-18

Preferable Investment Evaluation on Overseas Mineral Resources
Affiliation:1.Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China2.Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
Abstract:Investment in overseas mineral resources can not only guarantee the safety and stable supply of resources that China lacks, but also greatly benefit the participation of Chinese mining enterprises in the fierce competition of the international market. Previous studies normally adopted qualitative methods that mainly focused on the risk evaluation. Subjective weighting methods are often used in the evaluation, which could not guarantee the objectivity of the evaluated results. In order to guide Chinese mining companies to "go global", the paper selects ten indicators to establish the index system of overseas mineral resources investment from four dimensions of economic status, supply risk in the international market, application prospect and Chinese factors. Based on 21 major types of metal minerals resources as the research object, the objective weight is determined by the entropy method, and then the weighted TOPSIS method is used to measure and construct the evaluation model. The combination of the two quantitative methods improves the objectivity and accuracy of the evaluation. The results show that the TOPSIS model of entropy can be used to sort multi-index mineral resources. According to the results, the types of mineral resources are classified into three categories:(1) gold, copper, cobalt, zinc, chromium and nickel with preferential investment demand; (2) iron, aluminum, manganese and platinum group with investment potential; (3) the other mineral resources with less investment potential. The results are reasonable and can provide a reference for the investment decision of enterprises. 
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