Based on the provincial panel data of China from 2000 to 2021,Super-SBM model was used to measure the car-bon emission reduction potential index of cultivated land utilization,and the modified gravity model,social network analysis method and QAP regression method were used to explore the spatial correlation network and influencing factors of carbon emission reduction potential of cultivated land utilization index(CLCRP),aiming to provide policy references for promoting coordinated emission reduction of regional cultivated land use.The main findings are showed as follows.(1)During the study period,the level of CLCRP in China showed a relatively stable and fluctuating upward trend,and the geographical and spatial distribution of CLCRP was extremely uneven.(2)CLCRP in provincial areas showed complex network structure characteris-tics,low network correlation degree and relatively stable network structure.A multi-core coordination pattern was dominated by major grain producing areas and economically developed areas.(3)There was a significant spatial correlation effect on CLCRP in the interiors of plates and between plates.(4)Spatial adjacency,differences in agricultural economic development,farmers'living standards,environmental regulation,the level of transportation and information,government attention all had a significant effect on the spatial association network of CLCRP.
维普
万方数据