Spatial Distribution Characteristics and Influencing Factors of Green Mines in China
Green mining serves as an important platform and catalyst for promoting the green transformation of the mining industry. It is of great practical significance to conduct relevant research to promote the high-quality development of mining industry and build a beautiful China. Based on 1101 national-level green mine sample data,this work utilized uneven index,standard deviation ellipse method,Moran's I,hotspot analysis,and kernel density estimation to analyze the spatial distribution characteristics of green mines at a prefecture-level scale. Additionally,the study employed geographical detectors to calculate the explanatory power of influencing factors on the spatial differentiation of green mine density distribution. Results show that:(1) The spatial distribution of green mines in China exhibits a distinct spatial differentiation pattern,with a concentration of mines in the southeast and a relative scarcity in the northwest. This spatial distribution is consistent with the geographical pattern formed by the Hu Huanyong Line. (2) The spatial agglomeration of green mines is notable,exhibiting a discernible spatial spillover effect. The hotspot area exemplifies a pronounced polarisation phenomenon,manifesting as a multinuclear 'core-edge' distribution,comprising three larger core areas and five smaller core areas. (3) The influence of a single factor on the spatial differentiation of green mines is significant,but the degree of explanation is not high. The explanatory power of two-factor interaction is significantly enhanced,and the dominant factors associated with this enhancement are ecological sensitivity,density of road network and the density of mining sites. This study provides a basis for further exerting the advantages of geographic dominant factors and forming the development mode of green mines with different characteristics.
green mineGISdensityspatial distributioninfluencing factorsgeographic detectordriving force
万方数据
维普
