China's Population Age Structure Of Carbon Emissions Impact Based On Spatial Model

With the rapid economic development,the energy consumption is increasing and producing greenhouse gases,that cause global warming,frequent extreme weather.People began to pay attention to the emissions of greenhouse gases,and carbon dioxide is the main greenhouse gas.At present,China is already a carbon dioxide emissions superpower.Global emissions of carbon dioxide to create new high again in 2013,has been up to a total of 36.1 billion tons,10 billion tons of carbon dioxide in China.China has total carbon dioxide than the United States and the European Union,accounts for nearly a third of the world's total emissions,and for the first time,China's per capita carbon dioxide emissions is also more than European countries.Therefore,it is necessary to study factors influencing the carbon dioxide emissions.We can achieve goals to reduce and control carbon dioxide emissions,by controlling the influence factors.Among them,the population has a very important influence factors on carbon emissions.this paper analyzes of population age structure on emissions of carbon dioxide,based on extended STIRPAT spatial econometric model,and provides advice on reducing carbon dioxide emissions,according to the analysis results.This paper is divided into five chapters.The First chapter reviews and briefly introduces the research background and research purpose at home and abroad,and then reviews the domestic and foreign scholars about the population age structure,and other variables on the effects of carbon dioxide emissions,in the end,the innovation in this paper,disadvantages and future research direction of carbon dioxide emissions.The second chapter analyzes mainly the present situation of China's population age structure and calculates China's 30 provinces in 2000-2014 carbon dioxide emissions and provincial carbon emissions in China according to the IPCC2006 national greenhouse gas inventory guide providing the formula in the book,and analyzes the present situation of the population age structure.The third chapter briefly introduces STIRPAT extension model,spatial econometric theory in the global and local spatial correlation testing method,the spatial econometric model and spatial weight.The fourth chapter empirically analyzes population age structure on carbon dioxide emissions in the spatial econometric model,the first use of global autocorrelation analysis and autocorrelation analysis,to explain whether China's provinces of carbon dioxide emissions and population age structure exists significant spatial autocorrelation,and based on extended STIRPAT spatial econometric model,the empirical analysis of population age structure effect on emissions of carbon dioxide.The fifth chapter mainly aims at the previous chapter,summarizes the empirical results,the main conclusion,and according to the corresponding conclusion puts forward policy Suggestions on reducing carbon emissionsThe innovation of this paper:first,using spatial statistical methods shows that carbon dioxide emissions from different provinces in China in geographical space distribution characteristics;Second,using the spatial econometric methods to analyze the population age structure to the influence of the carbon dioxide emissions,makes the conclusion of this paper more reliable,more abundant information.The deficiency of this study is no accurate calculation of carbon dioxide emissions and comprehensively considering the influence of demographic factors on carbon dioxide.This paper calculated carbon dioxide emissions is reference guide to the IPCC2006 national greenhouse gas inventory report providing methods and dividing specific energy consumption into eight categories,but not including cement,glass production process of carbon dioxide;Demographic factors considered in this paper only population age structure,population,urbanization and per capita income,and without consideration of other variables such as power consumption,family size effects on carbon dioxide emissions.Therefore,the later study can further examine the effect of other population dependent variable on carbon dioxide emissions,and thus more comprehensive in-depth study population structure for carbon emissions,for the population and economic development,environmental protection policy to provide more guidance basis.