Analysis On The Carbon Sequestration Of Residents' Direct Living And Its Influencing Factors

With the development of the economy, the population urbanization rate is increasing, the income level of residents is improving,household consumption is also rising. Some data also shows that in developing countries, the ratio of the carbon emissions of the household energy consumption continues to increase. Based on the 2007-2013 "China Energy Statistical Yearbook", we computed the direct residents life energy carbon emissions. Using longitudinal multi-level model, combined with the factors of geographical environment, the level of economic development, population urbanization rate and the energy structure, we analyzed the four factors of carbon emissions in direct life energy consumption.We concluded:Firstly, the initial difference in per capita direct life energy consumption carbon emissions is inhabited mainly by the factor of the minimum temperature and the level of per capita consumption. The main effect of annual minimum temperature’s estimation value is a negative number(02g =-0.0124), indicating that the lower the annual minimum temperature is, the higher the initial level of per capita direct life consumption carbon emissions in different regions is. And it also shows that when the difference of the minimum temperature between the two provinces or municipalities was one, the initial level of the per capita direct life energy consumption carbon emissions’ difference is 0.0124 t / person. Since to some extent, the annual minimum temperature reflects that residents get heating and heating frequency in winter. From another angle, it arguments increased heating device has a positive role for the increasing of the per capita direct life carbon emissions. The main effect of the level o per capita consumption’s estimation value is a positive number(04g =0.00004).It shows when the level of per capita consumption between the two provinces(municipalities)’s difference is one dollar, the initial level of the per capita direct life energy consumption carbon emissions’ difference is 0.00004 t / person. To some extent, the level of per capita consumption represents the level of socio-economic development, that is to say, the higher the level of socio-economic development is, the higher the level of per capita consumption is, the higher the per capita direct life energy consumption carbon emissions are.Secondly, the per capita direct life energy consumption carbon emissions growth rate has a significant correction with the highest annual temperature “Wmax”,the annual minimum temperature “Wmin”, the level of the per capita consumption ”Rcon” and the energy structure “energy”. The annual maximum temperature of interaction estimation value is 11g =0.0056(P =0.0256 <0.05), that is to say, under the combined effect of time and maximum temperature, when time is growing, and the annual maximum temperature increase one degree, the per capita direct life carbon emission is 0.0056 t / person. The annual maximum temperature reflects residents get cool in summer. In summer, residents using cooling equipment will have a positive role in promoting per capita direct life carbon emissions energy consumption’s increasing. The interaction estimation value of annual minimum temperature is12g =-0.0023(P =0.0188 <0.05), that is to say, under the combined effect of time and minimum temperature, when time is growing, and the annual minimum temperature increase one degree, the per capita direct life carbon emission is felling 0.0023 t / person,which shows that the regional minimum temperature droping will encourage residents to use the heating devices. Thereby it increases the per capita direct life energy consumption carbon emissions. But this is not related to supplying heating(because the Pearson correlation of the heating and direct life energy carbon emissions is not significant).It is the result of both using of the heating and electricity. Therefore, what is certain is that temperature is an important factor which can affect per capita direct life energy consumption carbon emissions. Getting heat in winter will increase the residents living direct carbon emissions. The level of per capita consumption’s interaction estimation value is almost zero. It shows that the passage of time for each subsequent year, the level of the per capita consumption is growing for additional one yuan, per capita direct life carbon emission has increased, but the growth value is also almost zero. The life energy consumption structure’s interaction estimation value is16g =0.0955(P=0.0323 <a =0.05), which expressed in the joint action of the variables of the life energy consumption structure and time, the each year residents increase in the proportion of direct consumption increased by 10% in the use of coal, the per capita direct life carbon emission increase 0.00955 t / person. Therefor,speeding up the reform of the life energy consumption structure, increasing the using of new energy and green energy, reducing life energy consumption structure will significantly reduce per capita direct living carbon emissions.Thirdly, the intercept and slope of the final model’s covariance estimate is negative, but is not significantly. It illustrates that the lower the initial level of per capita direct carbon emissions is, the faster the growth ratio of the direct carbon emissions is,but the effect is not significantly.Finally, according to the accounting results of direct carbon emissions in residents living energy consumption from the year of 2006 to the year of 2012 and the analysis of their impact factors, we proposed some specific recommendations.