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《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

卷:

第12卷

期数:

2010年04期

页码:

117-122

栏目:

其他

出版日期:

2010-12-20

文章信息/Info

Title:

Methodology for analyzing supply and demand situation in mineral resources planning

作者:

芮夕捷¹; 白 华²

1. 长安大学 经济与管理学院,陕西 西安 710064; 2. 长安大学 政治与行政学院,陕西 西安 710064

Author(s):

RUI Xi-jie¹;  BAI Hua²

1. School of Economics and Management, Chang'an University,Xi'an 710064, Shaanxi, China; 2. School of Politics and Administration, Chang'an University, Xi'an 710064, Shaanxi, China

关键词:

矿产资源;  供需形势;  灰色系统预测模型;  方法论

Keywords:

mineral resource;  supply and demand situation;  prediction model of grey system;  methodology

分类号:

F062.1

DOI:

-

文献标志码:

A

摘要:

运用经济学和灰色系统理论,探讨了矿产资源规划中供需形势分析的方法论。研究表明,矿产资源需求受社会系统中众多因素的影响,且影响的方式具有灰色特征,故需求预测可合理地运用灰色系统模型; 矿产资源供给虽然也受许多社会因素的影响,影响方式也具灰色特征,但是矿产资源规划中的供给预测不能运用灰色系统模型,因为它所依据的系统特征数据序列恰恰是矿产资源规划的结果; 矿产资源的供给预测可用基于供给函数分析的经验法或剔除新增采矿权对系统特征数据序列所作贡献的灰色系统预测法。

Abstract:

The thesis studies the methodology for analyzing supply and demand situation in mineral resources planning with the help of economics and grey system theory. The study reveals that the demands of mineral resources are affected by many factors in social system, and its ways are of grey system characteristics. Therefore, the demands of mineral resources can be rightly predicted through the models of grey system. The supplies of mineral resources are also affected by a lot of factors in social system, and the ways are also of grey system characteristics. But the supply predictions in mineral resources planning cannot be made with the model of grey system because datum sequence of system characteristics is the foundation of supply prediction, which was the result of mineral resources planning.However, the supply predictions of mineral resources can be made by empirical method based on the analysis of supply function or by prediction method of grey system based on datum sequence of system characteristics, which can get rid of the contribution of newly-increased rights for exploitation.

参考文献/References:

[1] 成金华.中国矿产经济学研究现状和前景展望[J].理论月刊,2005,27(5):5-9.
[2]姜德义,李 林,任 松.矿产资源规划的若干问题研究[J].重庆大学学报:社会科学版,2004,10(4):3-6.
[3]李 亮.灰色GM(1,1)和神经网络组合的能源预测模型[J].能源研究与利用,2005,17(1):10-13.
[4]孙国文,尹光志.基于灰色系统理论的重庆市煤炭消费需求预测[J].重庆大学学报:自然科学版,2006,29(7):142-145.
[5]张岐山.能源需求的灰色预测方法[J].中国管理科学,2002,10(Z1):352-354.
[6]曹文虎,侯运炳,薛黎明,等.青海省能源矿产需求预测研究[J].金属矿山,2004,39(7):8-11,15.
[7]薛东剑,何政伟,李发斌,等.数学模型在矿产资源供需分析中的应用[J].中国矿业,2008,17(11):31-34.
[8]刘思峰,党耀国,方志耕,等.灰色系统理论及其应用[M].3版.北京:科学出版社,2004.
[9]董 明,张 珂.全球镍产品供给与需求的灰色预测方法及其应用[J].科技情报开发与经济,2008,18(26):85-87.
[10]黄卫平.广西水资源供需灰色系统预测模型研究[J].广西水利水电,2005,33(2):5-9,24.

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备注/Memo

备注/Memo:

收稿日期:2010-11-07 作者简介:芮夕捷(1960-),男,江苏宜兴人,教授。

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更新日期/Last Update: 2010-12-20