摘要
Abstract
This study calculates the total agricultural carbon emissions based on the data of 31 provinces in China from 2011 to 2021.Using decoupling model,Moran index test and spatial Durbin model,this study explores the spatiotemporal characteristics and influencing factors of China's agricultural carbon emissions from the perspective of regional differences.The results show that:(1)There are significant regional differences in carbon emissions from agriculture in China,with carbon emissions showing a"high in the east and low in the west"characteristic.(2)There is a significant positive spatial spillover effect on agricultural carbon emissions,with the total agricultural output value having a"carbon reduction effect"on agricultural carbon emissions,and the level of agricultural mechanization and fiscal investment having a"carbon increase effect".(3)China's overall agricultural carbon emissions show a positive spatial clustering feature,and different regions have different decoupling characteristics.Based on this,policy recommendations are proposed from three aspects:implementing regional differentiation strategies,increasing agricultural technology investment,and promoting high-level policy measures,in order to promote the development of Chinese agriculture towards low-carbon and sustainable direction.关键词
农业碳排放/区域差异性/脱钩模型/莫兰指数/空间杜宾模型/空间溢出效应Key words
Agricultural carbon emission/Regional difference/Decoupling model/Moran index/Spatial Durbin model/Spatial spillover effect分类
管理科学
