基于面板数据的地区矿业绿色发展模式聚类

    Regional mining green development mode clustering based on panel data

    • 摘要: 随着经济形势发生转变,实现绿色低碳高质量发展成为步入新发展阶段以来矿业发展的必然要求。对各省市的矿业绿色发展水平进行评价,并对其矿业绿色发展模式路径进行识别,对指导和提升各地矿业绿色发展成效具有重要意义。矿业绿色发展的内涵不断丰富,涵盖资源节约、环境友好、转型发展和安全和谐等多个方面,矿业绿色发展应全方位系统推进,各方面协调发展。为此,借鉴已有研究成果建立了地区矿业绿色发展综合评价体系,收集2005—2020年31个省市的矿业经济数据,对地区矿业绿色发展水平进行了测度。在此基础上,从综合评价体系的层次结构出发,对地区矿业绿色发展面板数据提出了基于分指数动态时间规整(DTW)的加权聚类方法。依据地区矿业绿色发展的共同特征,将矿业绿色发展模式划分为四种类型,分别为环境友好与转型发展引领模式、资源节约与转型发展驱动模式、环境友好与安全和谐保障模式、资源节约与安全和谐支撑模式。研究结果表明,运用分指数DTW加权聚类法对矿业绿色发展进行模式聚类是可行的,在全面反映面板数据丰富特征的同时,保证了模式聚类结果的科学性和合理性。最后,指出了四种矿业绿色发展模式各自的优势与不足,并依据各类发展模式存在的不足,针对性地提出了矿业绿色发展的对策建议。

       

      Abstract: With the transformation of the economic situation, it has become the inevitable requirement of mining development to realize green, low carbon and high-quality development since entering the new stage of development. It is of great significance to evaluate the level of the mining green development (MGD) and to identify the mode and path of the MGD in each province and city. The connotation of the MGD is constantly enriched, covering many aspects such as resource conservation, environment friendly, transformation development and safety harmony. The MGD should be promoted comprehensively and systematically, and be coordinated development in all aspects. To this end, a comprehensive evaluation system for regional MGD is established based on the existing research results. By collecting the mining economic data of 31 provinces from 2005 to 2020, regional MGD level is measured. On this basis, starting from the hierarchical structure of the comprehensive evaluation system, a weighted clustering method based on dynamic time warping (DTW) of sub-index is proposed for the panel data of regional MGD. According to the common characteristics of regional MGD, the MGD mode is divided into four types, namely, the environment-friendly and transformation development leading mode, the resource conservation and transformation development driving mode, the environment-friendly and safety harmony guarantee mode, and the resource conservation and safety harmony supporting mode. The results show that it is feasible to use the sub-index DTW weighted clustering method to cluster the MGD, which can fully reflect the rich features of panel data and ensure the scientific and rational clustering results. Finally, the advantages and disadvantages of the four types of MGD modes are pointed out, and the countermeasures and suggestions are put forward according to the shortcomings of various development modes.

       

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