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中国粮食生产效率及动态演进研究——改革开放以来的实证分析

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中国作为人口大国既要追求粮食总产量的上升,又要追求粮食生产投入要素合理化,如何提高粮食生产效率成为备受关注的问题。基于 1978-2022 年省级面板数据,利用粮食贡献率模型测算了各省份小麦、玉米、稻谷和豆类对全国粮食贡献程度,分析了粮食作物在全国的空间分布,运用BCC、CCR和Malmquist指数模型,对中国粮食生产效率和全要素生产率进行测度,并运用核密度图分析了自改革开放以来粮食生产效率的动态演进趋势。实证结果表明:(1)中国 3 种主要粮食作物呈"V"型分布,稻谷对全国粮食作物贡献率最高(37。72%);(2)中国粮食生产效率可分为三阶段,1978-1998 年我国粮食处于高效率生产阶段,1998-2003 年为非规模生产导致的生产效率下降阶段,2003-2022 年纯技术效率和规模效率共同推动粮食生产效率提高;(3)中国粮食全要素生产率在研究区间内略有下降,技术进步对于推动粮食全要素生产率增长起到了重要作用。依据各地区粮食生产效率的不同提出了相应建议,以推动粮食生产效率提高,保障国家粮食安全。
Research on the Efficiency and Dynamic Evolution of Grain Production in China——Empirical Analysis since the Reform and Opening Up
As a populous country,China needs to balance increasing total grain production with rationalizing input factors.How to improve grain production efficiency has become a highly concerned issue.This study uses provincial panel data(1978–2022)and a grain contribution rate model to calculate the provincial contributions of wheat,corn,rice,and legumes to national grain production.This paper analyzes the spatial distribution of grain crops in China,measures China's grain production efficiency and total factor productivity by using BCC,CCR and Malmquist index models,and analyzes the dynamic evolution trend of grain production efficiency since the reform and opening up by using nuclear density map.The empirical results show that:(1)Rice has the highest contribution rate to national grain crops(37.72%),with the three main grain crops in China distributed in a"V"shape.The middle and lower reaches of the Yangtze River and the Yellow-Huaihai Plain have the highest contributions to national grain production;(2)Grain production efficiency in China can be divided into three stages:a high-efficiency phase(1978–1998),a decline in efficiency due to a lack of scale efficiency(1998–2003),and an improvement phase(2003–2022),driven by pure technical and scale efficiency;(3)China's total factor productivity of grain showed a slight decline over the study period,with technological progress being a key driver of TFP growth..To enhance grain production efficiency and ensure national food security,this study proposes region-specific suggestions tailored to variations in production efficiency.

giain production efficiencycontribution rateMalmquist indexkernel density

张宸熙、李慧玲、陈高科、奥布力·塔力普

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新疆师范大学 商学院,新疆 乌鲁木齐 830017

丝绸之路经济带核心区产业高质量发展研究中心,新疆 乌鲁木齐 830017

粮食生产效率 贡献率 Malmquist指数 核密度

2025

粮油食品科技
国家粮食局科学研究院

粮油食品科技

北大核心
影响因子:0.684
ISSN:1007-7561
年,卷(期):2025.33(1)