Analyzing the Driving Effect of Influence Factors on CO₂ Emissions Using the STIRPAT Model in Tianjin of China

Abstract:

This paper discusses how much the driving effect on CO₂ 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 CO₂ emissions, T decreases the amount of CO₂ emissions, the size of influence factors driving effect on CO₂ emission in Tianjin is A>T>UR>P every year, overall CO₂ 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 CO₂ emissions reduction in Tianjin of China.

• Periodical: Advanced Materials Research (Volumes 734-737)
• Pages: 1896-1900
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.734-737.1896
• Online since: August 2013
• Authors: Tao Zhao*, Xue Gou
• Keywords: Driving Effect, Elasticity Coefficient, STIRPAT Model

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