河南省耕地利用效率时空格局演变及影响因素分析

Spatial-Temporal Pattern Evolution and Influencing Factors of Arable Land Use Efficiency in Henan Province

河南省是我国重要的粮食生产核心区,耕地利用效率及其影响因素的研究对于实现河南省耕地资源的合理配置和高质量发展具有重要意义.以河南省18个省辖市为研究对象,运用Super-SBM模型测算出2001―2020年的耕地利用效率.基于此结果,利用核密度估计和标准差椭圆,分析了耕地利用效率的时空分异特征;采用Tobit回归分析方法对耕地利用效率的影响因素进行探讨.结果表明:(1)河南省耕地利用效率整体处于较高水平,在研究期内呈现波动增长趋势.(2)河南省耕地利用效率在空间上呈现显著性的空间差异,表现出“南北高、中部低”的空间分布格局,其效率重心在不断向东南方向迁移,各市之间的耕地利用效率差异逐渐减小.(3)河南省耕地利用效率受多种因素的综合影响,其中人均耕地面积、耕地复种指数等资源条件对于耕地利用效率具有明显的正向作用,城镇化水平和农民可支配收入对耕地利用效率无明显影响.

Henan Province is an important core area of grain production in China,the study of arable land utilization efficiency and its influencing factors is important to realize the rational allocation of arable land resources and highquality development in Henan Province.In this paper,18sub-provincial cities in Henan Province are studied,and the Super-SBM model is used to measure the arable land use efficiency from 2001to 2020.Based on this result,using kernel density estimation and standard deviation ellipses,the spatial and temporal variation characteristics of arable land use efficiency is analyzed.Finally,Tobit regression analysis is used to explore the factors influencing the efficiency of arable land use.The results show that:(1)The overall efficiency of arable land use in Henan Province is at a high level,with a fluctuating growth trend during the study period.(2)Arable land use efficiency in Henan Province shows significant spatial variability,with the spatial distribution pattern of"high in the north and low in the middle",and its efficiency center of gravity is constantly shifting to the southeast.Differences in arable land use efficiency among municipalities show a decreasing trend.(3)The efficiency of arable land use in Henan Province is influenced by a combination of factors,and among them,natural resource endowments such as per capita arable land area and arable land replanting index have a significant positive effect on arable land use efficiency.Urbanization level and farmers'disposable income have no significant effect on arable land use efficiency.