项广鑫, 曾毅, 蒋星祥, 李慎鹏, 张建新. 基于DEA模型的矿产资源承载能力评价——以湖南省资源型县为例[J]. 地质通报, 2020, 39(1): 108-113.
    引用本文: 项广鑫, 曾毅, 蒋星祥, 李慎鹏, 张建新. 基于DEA模型的矿产资源承载能力评价——以湖南省资源型县为例[J]. 地质通报, 2020, 39(1): 108-113.
    XIANG Guangxin, ZENG Yi, JIANG Xingxiang, LI Shenpeng, ZHANG Jianxin. Carrying capacity of mineral resources of counties based on DEA: A case study of resource-based counties in Hu'nan Province[J]. Geological Bulletin of China, 2020, 39(1): 108-113.
    Citation: XIANG Guangxin, ZENG Yi, JIANG Xingxiang, LI Shenpeng, ZHANG Jianxin. Carrying capacity of mineral resources of counties based on DEA: A case study of resource-based counties in Hu'nan Province[J]. Geological Bulletin of China, 2020, 39(1): 108-113.

    基于DEA模型的矿产资源承载能力评价——以湖南省资源型县为例

    Carrying capacity of mineral resources of counties based on DEA: A case study of resource-based counties in Hu'nan Province

    • 摘要: 在分析矿产资源支撑社会经济发展特征的基础上,定义矿产资源承载能力为一定时期内,在尽可能减少资源和生态环境损耗的前提下,区域矿产资源维持经济社会发展的能力。根据定义和数据可获取原则,选取开采矿石量、破坏土地面积、排污量为投入的资源环境指标,矿业经济、矿业就业为产出的经济社会效益指标,以湖南省20个资源型县(市、区)为例,采用DEA模型开展了实证研究。研究结果显示,苏仙区、安化县矿产资源承载能力高,北湖区、临武县、新化县、涟源市、攸县矿产资源承载能力较高,衡南县、祁东县、江华县、双峰县、新邵县矿产资源承载能力中等,宜章县、冷水江市、浏阳市矿产资源承载能力较低,桃江县、桂阳县、花垣县、平江县、常宁市矿产资源承载能力低。影响矿产资源承载能力的短板要素主要是"三废"污染较重且治理率较低,采矿占用、破坏土地资源严重,矿业经济疲软、结构亟需优化。实证研究显示,DEA模型可以定量评价矿产资源承载能力情况,较客观地反映了矿产资源承载能力短板要素。

       

      Abstract: Based on an analysis of the characteristics of mineral resources supporting social and economic development, the carrying capacity of mineral resources is defined as the capability of regional mineral resources to maintain economic and social development in a certain period of time, on the premise of minimizing the loss of resources and ecological environment, leaking 20 resource-based counties (cities and districts) in Hu'nan Province as an example on the basis of DEA, the authors selected the area of destroyed land, the amount of ore mined and the amount of sewage discharged as input indicators, and mining employment and mining economy as output indicators. The research shows that the carrying capacity of mineral resources can be divided into five levels, and the main factors affecting the carrying capacity of mineral resources are the strong pollution of "three wastes" and the low treatment rate, the serious situation of occupying and destroying land resources in mineral resources exploitation, the weak mining economy and the mining structure which should be optimized. The empirical research shows that DEA model can quantitatively evaluate the carrying capacity of mineral resources and objectively reflect the short plate elements of carrying capacity of mineral resources.

       

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