"人口-技术-土地"空间网络关联特征及其对耕地绿色利用效率时空分异的影响机制OACHSSCD

China has a large population but limited land resources.Improving the efficiency of cultivated land use under the constraint of limited arable land has become a crucial foundation for achieving sustainable land use.This study took the Sichuan Basin as the research area.Based on the constructed"population-technology-land"factor flow model,it employed methods including the Slack-Based Measure(SBM)model with undesirable outputs,Social Network Analysis(SNA),Geographically and Temporally Weighted Regression(GTWR),and Quadratic Assignment Procedure(QAP)regression to analyze the spatial network characteristics of"population-technology-land"factor flows from 2005 to 2023 and their impact on the green utilization efficiency of cultivated land.The results showed that:(1)In terms of the temporal dimension,the green utilization efficiency of cultivated land in the Sichuan Basin exhibited a U-shaped fluctuating growth trend,with the mean value increasing from 0.86 to 1.00.Spatially,it generally displayed a pattern of"high in the center and low in the periphery".(2)At the overall network level,the"population-technology-land"factor flows in the Sichuan Basin all presented obvious network structures,but the network efficiency of all was below 0.5,and none showed an obvious hierarchy.The network correlation of population and technology factor flows remained stable at 1 and 0.96 respectively,while the network correlation of land factor flows fluctuated significantly and was relatively low.At the individual network level,the districts and counties around the main urban areas of Chengdu and Chongqing played the roles of core actors and intermediaries in the flow of population and land factors,while the central and western regions of the basin acted as core actors and intermediaries in the flow of technology factors.(3)The positive impacts of technology and land factor flows were gradually unleashed,with their scope and intensity increasing steadily;population factors flows were dominated by negative effects.In terms of network formation,improved transport connectivity and increased investment in educational resources significantly promoted population and technology flows.Residents' disposable income combined with policy coordination exerted a significantly positive impact on land factor flows.Policy coordination showed a significant negative correlation with population flows,while the combination of residents' disposable income and policy coordination noticeably inhibited technology flows.At the same time,improved educational resources exerted a certain inhibitory effect on land factor flows.