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Analyzing the driving effect of influence factors on CO_2 emissions using the STIRPAT model in Tianjin of China

机译:中国天津芯片模型分析影响因素对CO_2排放的驱动效应

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This paper discusses how much the driving effect on CO_2 emissions caused by every influence factor in Tianjin of China. Based on STIRPAT model, the elasticity coefficient of the population (P), the affluence (A), the urbanization rate (UR) and the technological level (T) is 0.14, 1.55, 0.49 and -1.25. Combined the change rate of each influence factors 1995-2008 and the elasticity coefficient, the analysis shows that A, UR and P increase the amount of CO_2 emissions, T decreases the amount of CO_2 emissions, the size of influence factors' driving effect on CO_2 emission in Tianjin is A>T>UR>P every year, overall CO_2 emissions shows a growing trend. Achieving the carbon emission reduction target is very hard, therefore, changing the economy dependence on energy consumption development mode and improving technology level are the most important way for CO_2 emissions reduction in Tianjin of China.
机译:本文讨论了中国天津各种影响因素引起的对CO_2排放的驱动效应。基于搅拌型模型,人口的弹性系数(P),富裕(A),城市化率(UR)和技术水平(T)为0.14,1.55,0.49和-1.25。组合每个影响因素的变化率1995-2008和弹性系数,分析表明,A,UR和P增加了CO_2排放量,T降低了CO_2排放量,影响因素对CO_2的驱动效应的尺寸天津排放是A> T> Ur> P每年,总体CO_2排放表现出不断增长的趋势。因此,实现碳排放减少目标非常艰难,因此改变了对能源消费发展模式和改善技术水平的经济性依赖性是中国天津省CO_2排放量最重要的方式。

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