A Study On The Regional Differences And Influencing Factors Of Carbon Emission In China

With the rapid development of economy,the global climate problem has become increasingly prominent,has attracted wide attention of the national people's,especially greenhouse gases such as carbon dioxide,which is one of the reasons causing the earth's temperature rise.So carbon reduction is a top priority in tackling climate change.First of all,in 1995-2015 carbon emissions of 30 provinces in China for business accounting,build the panel database,and 30 provinces and autonomous regions according to the carbon emissions,per capita carbon emissions and carbon intensity clustering respectively,to study the various provinces of carbon emissions don't belong to difference.The study found that carbon emissions,per capita carbon emissions overall,and carbon intensity declined overall,but different provinces had smaller fluctuations in different periods.The multivariate clustering model was established by the three variables of carbon emission,energy consumption and GDP.From the point of the three kinds of different provinces domain,domain class 3 province of shandong,liaoning,guangdong and other provinces of carbon emissions and per capita carbon emissions are far higher than other regions,and the intensity of carbon emissions is far lower than other provincial,class 1 provincial in Inner Mongolia,shaanxi,xinjiang and other provinces and regions carbon intensity is highest.Secondly,the differences of carbon emission,per capita carbon emission and carbon emission intensity of the 3 provinces are studied.On this basis,we use the extended STIRPAT model to estimate the overall influencing factors of our country by static panel model and dynamic panel model.In the static panel data model,the positive influence of other factors in addition to the technological level of carbon emissions were significant,and the level of technology has a significant positive impact on carbon emissions,economic elasticity coefficient is the largest,the per capita GDP changes on carbon emissions in the most obvious.In the dynamic model,the last carbon emissions have significant path dependence characteristics.Population,economic level of carbon emissions is significantly positive,but the elastic coefficient decreased,also the economic level is still the biggest elastic,and only one population,the level of economic value have obvious negative inhibitory effect on the current carbon emissions.Thirdly,the effects of carbon emissions in three different provinces were decomposed.In the static model,the return results of the three classes of provinces are identical.In the first class,the population size is the largest in the province domain model,and the economy is the most elastic in the class 2 and 3 provinces.In the dynamic panel model,the regression coefficients according to the lag issue of carbon from the order of provincial followed by class 1(1.129),class 3(1.101),the second class(1.087).Finally,according to the empirical results,the author proposes the corresponding carbon emission reduction proposals for the whole country and the 3 provinces.Among them,for the whole country,we should control the excessive population growth,promote low-carbon life,improve energy efficiency,extensive energy work,and the introduction of relevant laws and policies of energy consumption,to ensure the effective implementation of the policy.Of all provinces,first provinces should control population growth,accelerate the process of urbanization,second provinces should promote economic growth,accelerate the process of urbanization,improve the technical level,third provinces should continue to control population growth,improve the level of technology.