| Petrochemical industry as one of mainstay industries of jilin province, is in rapid development period.Rapid economic growth has caused the carbon emissions increase too fast.The economic growth with environmental damage is bound to unsustainable. Then, coordinating the conflict between economic growth and CO2 emission and enhancing the capacity of sustainable development are very significant.The study was supported by my tutor’s “The 12 th Five-Year Plan” science and technology supporting program:“Research on the key technologies of responsing to science and technology development of climate change in China”.From the perspective of the combination of time and space, the CO2 emissions from energy consumption in the petrochemical industry in Jilin province were calculated.Then,the impact of various driving factors on CO2 emissions and the relationship between carbon emissions and economic growth were exploried. Spatial and temporal variation characteristics of carbon emissions in petrochemical industry was studied. The conclusions are as follows:During the period of 2001-2011, the energy consumption and carbon emissions of petrochemical industry were very similar, they showed an increasing trend. Energy consumption increased from 14,357,300 to 25,326,800 tons and decreased significantly in 2012; Carbon emissions increased from 10,518,200 tons to 16,884,900 tons; Carbon emission intensity was declining from 3.02 to 0.70.Marginal elastic coefficients of chemical industry in Jilin Province were revealed based on the improved STIRPAT model and the decoupling theory model was constructed to study the relationship between carbon emission and economic growth. The result showed that marginal elastic coefficients of fixed assets investment, energy efficiency, total industry assets, energy consumption structure, asset size and labor productivity were-0.31, 0.25,-0.28, 0.29, 0.22, 0.26, 0.30 and chemical industry was in the weak decoupling.Through spatial and temporal variation characteristics analysis of energy consumption and carbon emissions intensity in petrochemical industry,the conclusions are as follows:During the period of 2001-2012, carbon emissions’ Moran’s I in the petrochemical industrys changes greatly, and the overall spatial agglomeration effect of energy consumption carbon emissions was weak. The Clustering of carbon emissions between regions experienced a process of weak- strong- weak. In accordance with the overall level of carbon emissions, Jilin Province was divided into HH, HL, LL, and LH zone. In 2005,Changchun and Songyuan entered the HH area and they formed the high value area of carbon emissions, and no changes had occurred in the quadrant region of other cities.In 2010,Siping changed from LH area to HH area, and Jilin was always in the HL area; Carbon emissions’ Moran’I value in the petrochemical industrys changes little, and the change width was only 8.8%.On the whole,carbon emission intensity exhibited space discrete state. Spatial agglomeration effect was weak and the spatial pattern was relatively stable; The carbon emission intensity were significantly different among cities. Jilin, Songyuan and Liaoyuan formed a low value area of carbon emission intensity. Changchun, Siping, Tonghua and Baishan formed a high value area of carbon emission intensity. In Jilin province, most of the cities were in a high proportion sub-region of coal consumption, but the level of carbon intensity between cities was different.This study comprehensively revealed energy consumption carbon emissions in petrochemical industry of Jilin and the influence degree of driving factors on it. The spatial pattern and variation characteristics of carbon emission were understanded.This research provided technical support and theoretical guidance for the policy recommendations about reduction of CO2 emission in the petrochemical industry of Jilin Province. |
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