Energy Related GHG In Tianjin China: The Inventory And Decomposition

Under the background of low carbon economy promotion, it is important to set a research onthe GHG （Greenhouse gases）emissions of city. This paper choose Tianjin (China) as the studycase and study on the GHG emissions of Tianjin from three aspects: the inventory of GHGemissions of Tianjin, the decomposition of GHG emissions of Tianjin and the comparisonbetween Tianjin and the other Chinese cities on the carbon reduction performance.First of all, we use the traditional method to calculate the GHG emissions in Tianjin from1995to2010. In this section, we use the energy consumption data from NBS of China to measurethe amount of three types of GHG emissions which are GHG，CH4and N2O. In this way, we canobtain the historical evolvement of GHG emissions in Tianjin. The result indicates that the GHGemissions of Tianjin increased drastically after2000. What’s more, we find that the industrialsector is the main source of GHG emissions in Tianjin.Second of all, we apply the LMDI decomposition method to decompose the GHG emissionsof Tianjin from2001to2010aiming to find out the influencing factors of GHG emissions changesin Tianjin. The factors in this paper are economic scale effect, economic structure effect, energyintensity effect, energy structure effect and coefficient effect. We use LMDI to calculate the valueof each effect. The result shows that economic scale effect is the main factor to the increase ofGHG emissions in Tianjin from2001to2009, while the energy intensity effect is mainlyresponsible to the decrease of GHG emissions of Tianjin.At last, we bring in the concept of decoupling index to evaluate the carbon reductionperformance of China’s30provinces and make the comparison. According to the evaluation, theperformance of emission reduction in each province varies significantly. Most provinces in Chinamade significant efforts in emission reduction during2005-2009, while some provinces only madeweak efforts or even no efforts in decoupling progress.According to the study above, we can understand the GHG emissions more clearly and muchdeeper. Our study helps the local government to establish the relevant policies to reduce the GHGemissions. Moreover, our study can be set as an model to study on the GHG emissions of othercities of China.