Study On Regional Differences And Driving Factors Of Carbon Emissions In Urban Civil Buildings In China

With the development of the world economy and society,the issue of global greenhouse gas emissions has become the focus.Countries around the world have planned and controlled low-carbon emission reduction from the perspective of top-level design,and low-carbon technologies and economies have developed steadily.China’s total carbon emissions continue to expand,and the task of reducing emissions is arduous and responsible.From the perspective of the whole life cycle of the building,the carbon emission ratio of the building operation and use stage is the highest,so it is imperative to carry out extensive building energy conservation work.China has a vast territory.It is impossible to adopt a single governance and promotion for the promotion of building energy conservation.It is necessary to implement different emission reduction work for different regions.The basis for emission reduction in different regions is to grasp the existing characteristics and causes of carbon emissions.This paper studies the carbon emission characteristics and influencing factors based on regional division,and hopes to provide a theoretical reference for the regional governance of building carbon emission in China.This paper first introduces the method of building carbon emissions.The calculation method of the total carbon emissions of buildings,carbon emissions per capita,carbon emissions per unit of building area,and carbon emissions per unit of added value was determined.The method of regional difference measurement applied in this paper was determined:the Theil coefficient.Secondly,divide the 30 provinces of China into regions and analyze the differences between their construction carbon emissions.Based on the relevant data of 30 provinces,according to the corresponding indicators of "total emissions-efficiency",30 provinces were divided into four regions by high-emission and high-efficiency regions,high-emission and low-efficiency regions,and low Emission of high efficiency areas,low emission and low efficiency areas.According to the results of the division,the difference between the region and the region is analyzed by using the method of Theil coefficient.It is concluded that the difference of building carbon emissions between different regions in China mainly comes from the differences between regions.Subsequently,the LMDI method was used to conduct empirical analysis of the influencing factors of regional differences in building carbon emissions.Through the establishment of the LMDI method model,the establishment process includes incremental decomposition of building carbon emissions,IDA decomposition and comprehensive decomposition.Then,based on the six major effects of decomposition,the empirical analysis of the four regions is carried out,including economic scale effect,per capita economic effect,urbanization effect,per capita building area effect,energy consumption per unit are,and comprehensive carbon emission factor effect.The influencing factors that contribute to the carbon emissions of buildings are to promote the effect of per capita construction area,per capita economic effects,urbanization effects and economic scale effects from large to small,and the effect of economic scale effect is extremely weak;The obvious inhibitory effect is the comprehensive carbon emission factor effect and the energy consumption per unit area,and the combined effect of the comprehensive carbon emission factor effect is greater.Finally,based on the analysis of regional differences and the analysis of influencing factors,it proposes policy recommendations for regional building energy conservation in China:implementing construction emission reduction work according to local conditions,strengthening coordinated management between provinces,strengthening the introduction of various high-end talents,and promoting higher economic development.Strengthen the building energy-saving and emission-reducing technology capabilities,improve the building energy efficiency;enhance the impact of building emission reduction publicity,enhance the public’s awareness of independent emission reduction;continuously optimize the building energy consumption structure and expand the proportion of clean energy use.