山西省低碳经济发展分析-analysis on the development of low carbon economy in shanxi province.docxVIP

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山西省低碳经济发展分析-analysis on the development of low carbon economy in shanxi province.docx

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山西省低碳经济发展分析-analysis on the development of low carbon economy in shanxi province

largely depends on electricity whether the Shanxi or through the whole nation, more specifically, the energy consumption elastic coefficient of Shanxi and the national average level all show an increase, then following a decline. What make difference are merely the dropping points of different periods. So all above illustrates the speed of economic development in China exceeds that of energy consumption, which is mainly caused by the improvement of energy efficiency and technology, and also indicates the relatively large developing space left in the future.Fourthly, based on the analysis of the intension of carbon emissions from 2000 to 2009 in Shanxi province, it is obvious to find the declining trend of Shanxi’ carbon emission intensity, but much milder than that of GDP growth, which demonstrates the close correlation of energy consumption and economic growth in Shanxi, leaving the remains of energy saving.Fifthly, by adopting the decomposition methods of LMDI to analyze the factors contributing to the emission of carbon dioxide in Shanxi Province, the paper draws the following conclusions: the period from 2000 to 2007 witnessed an upward trend of the emissions per capita in Shanxi, especially during 2000-2003 and 2004-2007 presenting two dramatic growth, while the emissions per capita appeared a decrease from that time onwards, and the joint efforts of the increasing energy demand for economic development and technology progress render this phenomenon. Besides, through the data analysis, improved energy structure and energy efficiency promote the decline of per capita emissions whilst the economic development exerted a negative effect.Sixthly, the paper gives out the per capita emissions of carbon dioxide from 2010 to 2015 in Shanxi Province through Grey Forecasting Model-GM (1, 1) and finds out that the capita emissions still shows ascend in the future due to the increase of population and development of economy, exactly, the number of carbon dioxide emission pe