Carbon fairness in inter provincial crop production and its driving factors in China
On the basis of using the life cycle assessment method to calculate the carbon emissions of crop production in China and 31 provinces from 2006 to 2021,the carbon faimess coefficient of crop production was constructed from the perspective of carbon sink.The XGBoost model was used to identify the key driving factors of carbon faimess and their nonlinear response relationships.The results showed that during the inspection period,the overall carbon faimess of crop production in China tended to decrease,with the carbon faimess coefficient decreasing from 1.025 to 0.944.The regional differences in carbon faimess of crop production in China were significant,with the overall performance being"main grain production area＞the production and sales balance area＞main grain sales area".The overall degree of carbon faimess was decreasing from northwest to southeast,and there was a trend of weakening high-value aggregation and low-value aggregation.Except for factors such as farmland irrigation conditions,urban-rural income gap,and technological innovation level,other driving factors had complex nonlinear characteristics in their impact on carbon faimess.From the perspective of time effects,agricultural production structure was the most important factor affecting carbon faimess,and the importance of farmland irrigation conditions and grain yield per hectare factors always ranked high.From the perspective of regional effects,agricultural production structure factor ranked high,and there were certain differences in the importance of other driving factors.
crop productioncarbon faimessdriving factorsXGBoost model
万方数据
维普
