Resources & Industries ›› 2018, Vol. 20 ›› Issue (1): 61-67.DOI: 10.13776/j.cnki.resourcesindustries.20180212.010

• RESOURCES ENVIRONMENT • Previous Articles     Next Articles

CARBON EMISSION DECOUPLING AND DECOMPOSITION OF ENERGY  
CONSUMPTION IN MINING INDUSTRY OF CHINA 

LUO Shixing  1, 2 , WU Qing 3    

  1. (1  Chinese Institute of Land and Resources Economy, Langfang 065201, China;  
    2  Key Lab of Resources and Environmental Carrying Capacity Assessment, MLR, Langfang 065201, China;  
    3  Research Center for Geological Science, China University of Geosciences, Beijing 100083, China) 
  • Received:2017-11-27 Revised:2018-01-15 Online:2018-02-20 Published:2018-04-04
  • Supported by:
     

中国采矿业能源消费碳排放脱钩及因素分解分析 

罗世兴   1,2 ，吴 青 3    

  1. （1  中国国土资源经济研究院，河北 廊坊065201；2  国土资源部资源环境承载力评价重点实验室，河北 廊坊 065201； 
    3  中国地质大学 地学发展研究中心，北京100083） 
  • 通讯作者: 吴青(E-mail：wuqingmary@163.com)
  • 基金资助:
    国家重点研发计划（2016YFC0503501）。 

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Abstract:

This paper calculates the carbon emission and its intensity of energy consumption in mining industry of China from 1994—2015, uses Tapio decoupling model to analyze the decoupling situation between carbon emission 
of energy consumption 
and production  in mining industry, and applies LMDI to decompose the factors driving carbon emission, aiming at gaining a full understanding of carbon emission of mining industry and at offering references to make appropriate policies in promoting sustainable development of mining economy. The results indicate that the carbon emission and intensity first rised and then fell with a yearly rising rate of 2.92% and -5.77%. Their decoupling status shows weak decoupling. Coal mining, washing, coking coal and electricity play the key role in carbon emission. Increment of economic output is the key factor driving the carbon emission to rise, while a fall in energy intensity plays a major part in decreasing carbon emission. 

 

Key words: mining industry, carbon emission, decoupling analysis, LMDI method 

摘要： 计算1994—2015年中国采矿业能源消费的碳排放量及排放强度，运用Tapio脱钩弹性模型分析中国采矿业能源消费碳排放与产值的脱钩状况，并采用LMDI方法对碳排放驱动因素进行分解，以期更全面了解中国采矿业的碳排放情况，为制定适合矿业经济可持续发展的政策提供科学依据。研究表明，中国采矿业能源消费碳排放总量和碳排放强度先上升后下降，年均增速分别为2.92%和－5.77%。采矿业能源消费碳排放与产值之间的脱钩状态以弱脱钩为主，煤炭开采和洗选业、煤焦类能源和电力是碳排放的主要来源。拉动碳排放量增长的决定性因素是经济产出规模的扩大，而促使碳排放减少的主要因素是能源强度的降低。 

关键词: 采矿业；碳排放；脱钩分析；LMDI 方法 

CLC Number: 

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