Empirical Study On Regional Disparity And Its Influencing Factors Of Agricultural Carbon Emissions Distribution In China:1993-2011

The article uses provincial data from1993to2011of Chinese mainland tomeasure provincial agricultural carbon emissions and takes carbon intensity as emissionindex to study empirically regional disparity and its influence factors.Firstly of all, the article empirically studies regional disparity and distributiondynamic evolution of agricultural carbon emissions in China with Dagum gini coefficientand its decomposition method and non-parametric estimation method. The conclusions areas follows: firstly, the GIS visualization method intuitively shows that agricultural carbonemissions have significant inequality characteristic. Secondly, Gini coefficient and itsdecomposition shows that the overall disparity of the spatial distribution of agriculturalcarbon emissions has a falling trend. Thirdly, Kernel density estimation shows that regionaldisparity of agricultural carbon emissions has a falling trend. Regional disparity ofagricultural carbon emissions in the eastern and middle regions has a falling trend, but it isrising in the western region. Fourthly, Markov chain analysis shows that different levels ofagricultural carbon emissions intensity have a low flowability in groups, which meansagricultural carbon emissions has a certain stability. As a whole, agricultural carbonemissions is increasing, the low level will disappear, the whole will gradually close tohigher and the highest levels.Secondly, the article studies empirically the influence factors of China’s agriculturalregional disparity by constructing spatial dynamic panel data model. The conclusions areas follows: firstly, measurement results of Moran’s I index show that agricultural carbonemission distribution in China displays significant global spatial correlation, Moran scatterdiagram shows that carbon emissions distribution from agriculture in China showed asignificant local characteristics of heterogeneity and concentration. Secondly, regionaldisparity of carbon emissions distribution from agriculture in China has s falling tend.Thirdly, the empirical analysis of the influencing factors shows that agricultural carbonemissions of the nation, the eastern and central provinces have significant positive spatialcorrelation, but the western provinces do not exist. Agricultural economic growth,optimization of agricultural structure and agricultural labor force scale increases significantly agricultural carbon emissions level of the nation and the three regions,cultivated land scale, agricultural science and technology level and carbon productionefficiency reduce agricultural carbon emissions level, but agricultural science andtechnology level do not reduce significantly agricultural carbon emissions level of the eastand west.