Temporal And Spatial Characteristics And Influencing Factors Of Carbon Emission From Land Use In China

The problem of global warming caused by the drastic changes in climate poses a great threat to the prosperity and development of modern human society.The main cause of warming is the sharp increase in carbon emissions,which are mainly caused by the burning of fossil fuels and land use.As an important source of carbon emissions,land use can be explored in the evolution of the spatial and temporal pattern of land emissions in China and their influencing factors,which can provide reference for China to formulate a strategy for allocating carbon emissions tasks,delay carbon emissions and differentiated management measures on differences in carbon emissions.Based on above,this paper takes 30 provinces and cities in China(except Tibet and Hong Kong,Macao and Taiwan)as the research object,with a view to providing reference for the implementation of the task of reducing carbon emissions,analyzes the characteristics of land use carbon emissions in time and space in 2010-2015,and then starts from the goal of achieving carbon reduction.On this basis,the appropriate mathematical model is selected to explore the influence factors and degree of influence of carbon emissions in various provinces and cities,and the influence of the two factors in the interaction is further analyzed.Finally,according to the conclusion of the article,from the carbon reduction task decomposition and focus,population,urbanization,energy structure,energy intensity and related low-carbon land utilization management and other aspects of policy recommendations.The full text can be divided into three parts.The first part is the introduction part and the first chapter.This part first summarizes the realistic background of the topic,summarizes the domestic and foreign research results on land-use carbon emissions from the mechanism of action,effect,measurement method,influencing factors and geographical differences,and expounds the theoretical and practical significance of this paper on the basis of finding the areas to be improved.And put forward the full text of the research program and clear the innovation point of this paper.Secondly,the specific terms of land use carbon emissions,carbon emission reduction and carbon emissions are defined,and the theoretical basis of this paper is expounded.The second part is the second and third chapters,which is the core content of this paper.First of all,on the basis of reference to the previous research results,we choose the appropriate carbon emission measurement method and related coefficients,and measure the total amount and intensityof carbon emissions of each research unit.Then,the space-time separation characteristics,spatial agglomeration and spatial evolution path are analyzed.Finally,on the basis of the results of the previous study,the spatial and temporal geo-weighted regression model and the geographical detector explore the interaction of the single influencing factors and the two factors of land use carbon emissions.The third part is the fourth chapter,is the conclusion of this paper and the corresponding policy recommendations.The main conclusions of this paper are: First,the total amount of land use carbon emissions and carbon intensity of 30 provinces and cities in China during the research period are on the rise,and the main source of carbon emissions is the carbon emissions of construction land.From the point of view of spatial difference,the total amount of land-use carbon emissions is gradually increasing from west to east,from south to north,while the carbon intensity of land use is decreasing from east to west,and the gap is gradually narrowing.Second,through the analysis of the global spatial correlation and local spatial self-correlation of the total amount and intensity of carbon emissions,it is found that the total amount and intensity of land-use carbon emissions in 30 provinces and cities in China have a certain concentration in space from 2010 to 2015,of which the correlation coefficient of total carbon emissions shows a decreasing trend.The correlation coefficient of carbon intensity is gradually increasing.The high-value gathering area of total carbon emissioniss is mainly distributed in North China,the low-value gathering area mainly includes Xinjiang and Sichuan region,while the high-value gathering area of carbon intensity is mainly Jiangsu Province,and the low-value concentration area is mainly in Xinjiang,Qinghai,Sichuan and other western regions of China.At the same time,with the center of gravity migration model research found that China’s total land use carbon emissions and intensity of the center of gravity have the trend of migration to the west.Third,the results of the geo-weighted regression model of space-time show that the main factors affecting China’s land-use carbon emissions are population size,urbanization level,energy structure and energy intensity,and the four factors have a positive impact on carbon emissions,and the spatial differences of the factors are obvious.With the help of geographical detector,it is found that the interaction of various influence factors presents two-factor or nonlinear enhancement,which further enhances the explanatory power of land-use carbon emissions.The possible innovation points of this paper are:1.The center of gravity transfer model is applied to study the temporal and spatial characteristics of land-use carbon emissions.In this paper,by introducing the momentequilibrium point model and describing the spatial center of gravity of carbon emissions in China,the dynamic characteristics of spatio-temporal differentiation of land-use carbon emissions are further studied.2.For the study of the influencing factors,the space-time differences are considered,and the joint effect of the two factors is further discussed.Considering the spatio-temporal non-stationary of land-use carbon emissions in the research unit,using spatio-temporal geographical weighted regression model and geographical detector,we can better explore the differences of driving factors of land-use carbon emissions in time and space in different provinces and cities from the perspective of both the whole and the part,and this study has made a further deepening in the interaction of the two factors.The limitations of this study are mainly manifested in the following aspects: First,limited by data accessibility,this paper still needs to be improved in the selection of data and variables,and secondly,the lack of some data may affect the accuracy of conclusions to some extent.