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粮食主产区农业生产效率时空演变及影响因素研究

史焱文 王巧红 李二玲 孙宇航

农业现代化研究2026,Vol.47Issue(3):575-586,12.
农业现代化研究2026,Vol.47Issue(3):575-586,12.DOI:10.13872/j.1000-0275.2025.0128

粮食主产区农业生产效率时空演变及影响因素研究

Research on the spatiotemporal evolution and influencing factors of agricultural production efficiency in major grain producing areas:a case study of Henan Province

史焱文 1王巧红 2李二玲 3孙宇航2

作者信息

  • 1. 河南财经政法大学城乡协调发展河南省协同创新中心/城乡规划学院,河南 郑州 450046||中国国际经济交流中心,北京,100050
  • 2. 河南财经政法大学城乡协调发展河南省协同创新中心/城乡规划学院,河南 郑州 450046
  • 3. 河南大学地理科学学院,河南 开封 475004
  • 折叠

摘要

Abstract

Enhancing agricultural production efficiency in major grain-producing regions is crucial for ensuring national grain security.Taking 102 counties in Henan Province,a core grain-producing area,as research units,this paper constructs a multi-input and multi-output agricultural production efficiency index system that incorporates multidimensional environmental variables and utilize a three-stage DEA model,spatial autocorrelation analysis,and multi-scale geographically weighted regression(MGWR)to uncover the spatiotemporal evolution characteristics and influencing factors of agricultural production efficiency in 2005,2015,and 2022.Results demonstrate:1)The comprehensive efficiency,pure technical efficiency,and scale efficiency of agricultural production in counties of Henan Province show an upward trend,with a notable rise in the number of counties achieving optimal efficiency;2)The spatiotemporal evolution of agricultural production efficiency exhibits distinct spatial heterogeneity.Comprehensive efficiency and scale efficiency follow a stepped distribution pattern,higher in the eastern plains and lower in the western mountainous,and hilly regions while pure technical efficiency forms low-value clusters in transitional zones between plains and hilly areas;3)Spatial autocorrelation analysis indicates that comprehensive efficiency,pure technical efficiency,and scale efficiency all display convergent clustering patterns("high-high"and"low-low"agglomerations);and 4)the MGWR model highlights dynamic changes and spatial variability in the impacts of influencing factors.Industrial structure remains the dominant factor affecting agricultural production efficiency,although its influence has gradually weakened over time.This study provides theoretical and empirical support for optimizing resource allocation and formulating differentiated policies to enhance agricultural production efficiency in major grain-producing regions.

关键词

农业生产效率/三阶段DEA/时空演变/多尺度地理加权回归模型/粮食主产区

Key words

agricultural production efficiency/three-stage DEA/spatial-temporal evolution/multi-scale geographically weighted regression/major grain-producing areas

分类

管理科学

引用本文复制引用

史焱文,王巧红,李二玲,孙宇航..粮食主产区农业生产效率时空演变及影响因素研究[J].农业现代化研究,2026,47(3):575-586,12.

基金项目

国家自然科学基金项目(42271225) (42271225)

教育部人文社会科学研究规划基金项目(22YJA790050) (22YJA790050)

河南省高校哲学社会科学创新人才支持计划资助(2024-CXRC-16).Supported by the National Natural Science Foundation of China(42271225) (2024-CXRC-16)

the Ministry of Education Humanities and Social Sciences Research Planning Fund Project(22YJA790050) (22YJA790050)

the Henan Provincial Colleges and Universities Philosophy and Social Sciences Innovation Talent Support Program(2024-CXRC-16). (2024-CXRC-16)

农业现代化研究

OACHSSCD

1000-0275

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