农业资源与环境学报2024，Vol.41Issue(3)：530-538,9.DOI:10.13254/j.jare.2023.0311
耕地"非粮化"影响因素空间效应研究
Spatial effect of influential factors of non-grain cultivated land:a case study of the Pearl River Delta
摘要
Abstract
In this study,to clarify the current situation of non-grain conversion of cultivated land in the Pearl River Delta and curb the tendency of this conversion,a county-level administrative region was used as the research unit.The spatial differentiation characteristics of non-grain conversion in the Pearl River Delta were determined,and the spatial Durbin model and geographically weighted regression mode were used to explore the spatial effects of the influencing factors of non-grain conversion of cultivated land.The average non-grain rate of counties in the Pearl River Delta in 2019 was 47.8%,which was higher than the national average.From the perspective of ratio,the non-grain cultivated land is concentrated in counties around the Pearl River Delta and some central counties,mainly with low-low and high-high agglomeration.From the perspective of absolute area,non-grain cultivated land is concentrated in the northeast of the study area,mainly high-high agglomeration.Spatial dependence of non-grain was evident in the Pearl River Delta.From the perspective of direct effect,the proportion of gross domestic product(GDP)in the primary industry and the distance to the city center are negatively correlated with non-grain,while the area of cultivated land per labor and the area of effective cultivated land irrigation are positively correlated.From the perspective of spillover effect,per capita GDP is positively correlated with non-grain.Spatial heterogeneity of the impact of the proportion of GDP in the primary industry and the irrigated area of effective cultivated land on non-grain transformation was evident(high in the middle and low on the periphery).The results show that regions with higher levels of economic development are more likely to produce non-grain.Non-grain governance should be adapted to local conditions and hierarchical remediation to improve grain yield and comprehensive grain productivity and promote cost reduction and increase grain and farming efficiency.关键词
非粮化/驱动机制/空间效应/空间杜宾模型/地理加权回归模型Key words
non-grain/driving mechanism/spatial effect/spatial Durbin model/geographically weighted regression mode分类
管理科学引用本文复制引用
陈莉珍,刘光盛,聂嘉琦,肖瑶,杨丽英,王红梅..耕地"非粮化"影响因素空间效应研究[J].农业资源与环境学报,2024,41(3):530-538,9.基金项目
教育部人文社科基金项目(18YJCZH096) Humanities and Social Sciences Fund Project of Ministry of Education(18YJCZH096) （18YJCZH096）
