The Affecting On Low-carbon Economy Of The Population Factors In Xinjiang

In recent years, more and more domestic and international carbon emissionsconcerns. Since the fossil energy consumption is the main source of carbon emissions,and therefore how to reduce carbon emissions is the focus of the government、societyand scholars. For carbon emissions in-depth study, it not only thoroughly implementthe scientific concept of development, but also for the mitigation of global climatechange make a significant contribution. The Xinjiang’s economic development modeis extensive, resource-based economy, therefore,carbon emissions can not be ignored.Humans are the main social life, everyday human activity is gradually built up in thecourse of social development, because of human activities on the consumption ofenergy resources, unreasonable and excessive increase in the use and development ofconsumer activity, which will affect the quality of the environment, and thus thedevelopment of a low carbon economy presents a challenge.Firstly,the paper reviews and do some sorts to relevant literature, discusses thenecessity and the origin of low-carbon economy and the development of low-carboneconomy for its development of Xinjiang facing the challenges of low-carboneconomy, the article analyzes the impact of population carbon detailed analysis of themain demographic factors emissions, especially population size, average householdsize changes, population urbanization, population structure of employment, etc. Thesefactors impact on low-carbon economy; then Xinjiang fossil energy consumptionstructure is analyzed, which including coal consumption, oil consumption and gasconsumption, the the consumption of fossil energy were calculated; based onSTIRPAT mode the article analyzes the impact of demographic factors on thelow-carbon economy, this model can be used to test demographic factors on theelasticity of carbon emissions, which can be judged by the elastic coefficientdemographic factors affect the rate of carbon emissions. The results showed that: thelarger the population size, carbon emissions will increase; higher populationurbanization rate, carbon emissions will increase;average household size changes isthe largest factor in the extent to the impact on carbon emissions; demographicstructure of employment in certain will increase the degree of carbon emissions.Finally, conclusions correlation analysis for the model presented operability andcomments and suggestions guiding.