Research On The Provincial Convergence Of Carbon Emissions Intensity In China Based On The Spatial Perspective

Fast-developing economy not only brings China attractions from all over the word,but also increases the consumption of coal,oil,gas and other non-renewable resources,which eventually soaring carbon emissions.Carbon intensity is the carbon output per unit of economic output.The meaning of Carbon intensity is comprehensive,which not only emphasizes energy conservation,but the requirements of decreasing the use of fossil.China has always pay high attention and work actively to carbon emission reduction measures.The specific targets for greenhouse gas emission reduction were firstly put forward in 2009.By 2020,the carbon dioxide emissions per unit of gross domestic product(carbon intensity)may decrease by 40%-45% compared with that in 2005,as well as containing the binding targets in the national Long-term planning for economic and social development.2016 is the first year of the "13th Five Year Plan",According to "China Energy Development Report 2016",in 2015,China's total energy consumption reached 4.30 billion tons of standard coal,up 0.9% over the previous year,but the growth rate slowed down by 1.3 percentage points over 2014,which is the lowest growth rate since 1998,the national energy consumption per million yuan fell to 5.6% [1].It has been seven years since Copenhagen International Climate Conference in 2009 to develop goals and only three years left to the year 2020.fthen how is our implementation of the objectives of the progress? Is the carbon intensity in the province decreasing? Is it at a lower level of steady state? In view of this,this paper discusses the convergence of carbon emissions in order to be able to China and the provinces and governments to develop practical energy-saving emission reduction policies to provide accurate data and theoretical support.In this paper,we will first sort out the research on carbon emission,and select the relevant data of 30 provinces and cities(due to the lack of data in Tibet)from 2005 to 2014,and calculate the corresponding carbon intensity index.Firstly,we use the method of descriptive statistical method and geographical visualization to study the changing trend and spatial distribution of energy consumption and carbon intensity in China.Secondly,we use the convergence model and convergence model in the economic growth theory,and use the spatial econometric method to analyze the regional carbon strength of the convergence of empirical analysis.Finally,the use of spatial econometric methods to study what key factors on China's carbon intensity.The main conclusions are as follows:(1)Between 2005 and 2013,there is a significant spatial correlation between the regional carbon emission intensity,indicating that the spatial distribution of carbon intensity in China is not completely random,and the provinces with similar carbon intensity are more inclined in the agglomeration distribution.(2)There is convergence of carbon intensity in the country,there is a conditional convergence,absolute convergence.(3)There is a positive impact on China's carbon intensity of industrial structure,urbanization level,energy intensity;negative role of the energy structure,foreign investment.Finally,according to the conclusion of the study,the author puts forward some reasonable policy suggestions for the final reduction of the carbon intensity and the reduction of the carbon intensity,such as the national government to develop energy-saving emission reduction,reduce carbon emissions policy,should take full account of the differences between regions and links,to avoid a one-size-fits-all,real inter-regional linkage;local governments should also rely on local conditions,combined with local resource and features,drawing up an own development of energy-saving emission reduction policies.