基于多元回归的铁矿资源权益金测算研究

Multiple Regression-based Assessment of Iron Ore Resource Royalty

  • 摘要: 矿产资源权益金是矿产资源所有权利益的经济体现。权益金大小取决于矿产资源禀赋条件,基于不同的因素选择和评价方法,可能会得到不同的结果,继而影响到资源的配置效率。为提高权益金评价结果的客观准确性和实用性,研究基于多元回归分析法和虚拟变量法,建立了基于矿产资源禀赋条件视角的权益金评价模型,并通过对中国安徽省铁矿矿山的实证分析,验证了该评价模型的可行性,为制定权益金征收标准提供较好评价方法。研究结果表明:(1)铁矿资源赋存条件中,地质平均品位、平均开采深度、矿体平均厚度、水文地质条件、有益有害元素对矿山开采成本影响较为显著;(2)矿山开采成本的高低对权益金率的影响为负效应。本研究对于中国提出的建立矿产资源权益金制度具有现实意义。

     

    Abstract: Mineral resource royalty is the economic manifestation of mineral resource ownership benefits. The size of royalty depends on the endowments of mineral resources. Based on the selection and evaluation of different factors, different results may be obtained, which will affect the efficiency of the allocation of resources. In order to improve the objective accuracy and practicability of the assessment results, based on the multiple regression analysis method and the virtual variable method, this paper establishes an assessment model based on the perspective of mineral resources endowment conditions, and verifies the feasibility of the assessment model through the empirical analysis of the iron mine in Anhui Province of China. Results of the study show that, (1) Among the occurrence conditions of iron ore resources, average geological grade, average mining depth, average thickness of ore body, hydrogeological conditions and beneficial or harmful elements have evident effects on mining costs. (2) The influence of mining cost level on royalty rate is negative effect. The study has its realistic significance towards China's proposal of establishing mineral resources royalty system at current stage.

     

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