屠年松, 谢冉, 王欣. 中国有色金属产业链转型效率研究[J]. 中国矿业, 2020, 29(2): 32-39. DOI: 10.12075/j.issn.1004-4051.2020.02.006
    引用本文: 屠年松, 谢冉, 王欣. 中国有色金属产业链转型效率研究[J]. 中国矿业, 2020, 29(2): 32-39. DOI: 10.12075/j.issn.1004-4051.2020.02.006
    TU Niansong, XIE Ran, WANG Xin. Study on the transformation efficiency of China's non-ferrous metal industrial chain[J]. CHINA MINING MAGAZINE, 2020, 29(2): 32-39. DOI: 10.12075/j.issn.1004-4051.2020.02.006
    Citation: TU Niansong, XIE Ran, WANG Xin. Study on the transformation efficiency of China's non-ferrous metal industrial chain[J]. CHINA MINING MAGAZINE, 2020, 29(2): 32-39. DOI: 10.12075/j.issn.1004-4051.2020.02.006

    中国有色金属产业链转型效率研究

    Study on the transformation efficiency of China's non-ferrous metal industrial chain

    • 摘要: 受当前经济形势和资源约束的影响,我国有色金属产业迫切需要提升效率、加快转型。本文基于网络DEA模型和Malmquist指数相结合的研究方法,选取2005~2016年中国26个省(区、市)的面板数据,测算了有色金属冶炼过程的整体及分阶段转型效率和全要素生产率(MPI)变化情况。结果表明:我国有色金属产业链的技术进步、纯技术效率变化、规模效率变化均受冶炼及压延加工阶段的主导;在技术进步、规模效应增长的同时,产业链的纯技术效率下降。有色金属产业链转型效率主要受冶炼及压延加工阶段影响,仅靠技术和规模并不能有效促进产业转型,企业需要从多角度提升综合能力,促进高效发展。

       

      Abstract: Affected by the current economic situation and resource constraints, China's non-ferrous metal industry urgently needs to improve efficiency and accelerate transformation.Based on the research method of combining network DEA model and Malmquist index, panel data of 26 provinces in China from 2005 to 2016 are selected to calculate the overall and phased transformation efficiency and total factor productivity(MPI) changes in the non-ferrous metal smelting process.The results show that the technological progress, the change of pure technical efficiency and the change of scale efficiency of China's non-ferrous metal industry chain are all dominated by smelting and pressing stages.With the development of technology and the increase of scale effect, the pure technical efficiency of the industrial chain declines.It shows that the transformation efficiency of non-ferrous metal industry chain is mainly affected by the smelting and pressing stage.Only relying on technology and scale cannot effectively promote industrial transformation, and enterprises need to improve comprehensive capacity from multiple perspectives to promote efficient development.

       

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