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基于灰色关联分析的唐山市碳排放驱动因素研究
引用本文:杨艳慧.基于灰色关联分析的唐山市碳排放驱动因素研究[J].唐山学院学报,2017,30(4):66-71.
作者姓名:杨艳慧
作者单位:唐山学院 经济管理系, 河北 唐山 063000
基金项目:河北省教育厅科学研究计划项目(SQ172030);唐山学院科研项目(15008A)
摘    要:将煤炭、焦炭、汽油、煤油、柴油、燃料油、液化石油气、天然气8类能源作为主要的指标,对唐山市1995-2014年能源消费和碳排放状况进行了研究,并在此基础上,采用灰色关联分析法测算了唐山市碳排放量与人口总数、城镇化率、经济增长、产业结构、能源强度、能源结构6个影响因素间的关联度,然后根据实证分析结果,从倡导低碳生活、推进新型城镇化、优化产业结构、发展低碳技术、调整能源结构方面提出了唐山市降低碳排放的对策建议。

关 键 词:唐山市  能源消费  碳排放量  灰色关联度  低碳经济

A Study on the Driving Factors Behind Carbon Emissions in Tangshan City Based on Grey Relational Analysis
YANG Yan-hui.A Study on the Driving Factors Behind Carbon Emissions in Tangshan City Based on Grey Relational Analysis[J].Journal of Tangshan College,2017,30(4):66-71.
Authors:YANG Yan-hui
Institution:Department of Economic Management, Tangshan University, Tangshan 063000, China
Abstract:The author of this paper has studied the energy consumption and carbon emissions in Tangshan City between 1995 and 2014, with coal, coke, gasoline, kerosene, diesel oil, fuel oil, liquefied petroleum gas, and natural gas being the main indexes and with grey relational analysis method, evaluated the relational grade between carbon emissions and 6 influence factors, which are total population, urbanization rate, economic growth, industrial structure, energy intensity, and energy structure. Based on the results of the empirical analysis,the author will put forward suggestions for reducing carbon emissions in Tangshan City, such as advocacy of low carbon life, promotion of the new kind of urbanization, optimization of the industrial structure, development of low carbon technology, and adjustment to energy structure.
Keywords:Tangshan City  energy consumption  carbon emission  grey relational grade  low carbon economy
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