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Factors influencing CO2 emissions in China based on grey relational analysis

机译:基于灰色关联分析的中国CO2排放影响因素

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摘要

The increase of greenhouse gas emissions, especially CO2 emissions, have caused the global temperature to rise. As a developing country, China has become the largest CO2 emitter in the world. It is very important and urgent to cut the CO2 emissions down. In this article, the driving forces that influenced China's CO2 emissions from 1995 to 2010 based on grey relational analysis is investigated. It is found that GDP per capita (G), population (P), coal consumption (C), oil consumption (O), natural gas consumption (N), industrial structure (IS), and urbanization (U) play crucial roles in the increase of CO2 emissions, though they have different impacts on CO2 emissions. The sequence of the size of the factors' influence on China's CO2 emissions is C > G > O > N > U > P > IS. Some effective recommendations for improving energy efficiency and reducing the CO2 emissions intensity are proposed.
机译:温室气体排放量的增加,尤其是二氧化碳的排放量,已导致全球气温上升。作为发展中国家,中国已成为世界上最大的二氧化碳排放国。减少二氧化碳的排放是非常重要和紧迫的。本文基于灰色关联分析,研究了1995年至2010年影响中国CO2排放的驱动力。发现人均GDP(G),人口(P),煤炭消耗(C),石油消耗(O),天然气消耗(N),产业结构(IS)和城市化(U)在二氧化碳排放量的增加,尽管它们对二氧化碳排放量有不同的影响。影响中国CO2排放的因素的大小顺序为C> G> O> N> U> P> IS。提出了一些有效的建议,以提高能源效率并降低CO2排放强度。

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