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黄河流域粮食生产效率测度及时空演化研究

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本文构建了基于非期望产出的超效率SBM效率测度模型,对 2012-2022 年黄河流域 9 个省(区)进行粮食生产效率测度和分析,研究如下研究结果.1)考察期内,黄河流域粮食生产效率总体水平低,DEA(data envelopment analysis)无效,粮食生产效率具有较大的提升空间.2)从空间演化特征来看,黄河流域粮食生产效率存在明显的区域差异,由高到低依次为下游地区、上游地区、中游地区,河南省的粮食生产效率处于领先水平.3)从时间演化特征来看,黄河流域整体的粮食生产效率大致呈现"V"型变化趋势,下游地区的粮食生产效率波动幅度较大,但是其年均增长率最低;中游地区粮食生产效率较为稳定,年均增长率最大;上游地区粮食生产效率最不稳定,年均增长率处于中等水平.此外,自党的十九大以来,黄河流域各省(区)的粮食生产效率都有不同程度的提升,其中内蒙古的粮食生产效率增长幅度最大.
Measurement and Spatio-temporal Evolution of Grain Production Efficiency in the Yellow River Basin
A super-efficiency SBM model based on non-expected output is constructed,and grain production ef-ficiency is measured and analysed for 9 provinces(regions)in the Yellow River basin from 2012 to 2022,and the research results are as follows.1)During the inspection period,the overall grain production efficiency in the Yellow River basin is at a relatively low level and DEA is ineffective,and there is a large space for improving grain production efficiency.2)From the point of view of spatial evolution characteristics,there are obvious re-gional differences in grain production efficiency in the Yellow River basin,with grain production efficiency from high to low being in the order of downstream areas,upstream areas,and midstream areas,and Henan Province is in the leading position in terms of grain production efficiency.3)From the perspective of time evolution characteristics,the overall grain production efficiency in the Yellow River basin shows a"V"trend.The fluctu-ation of grain production efficiency in the downstream areas is larger,but its average annual growth rate is the lowest;the grain production efficiency in the midstream areas is more stable with the largest average annual growth rate;the grain production efficiency in the upstream areas is the most unstable with the average annual growth rate being at a medium level.Since the 19th CPC National Congress,the grain production efficiency of all provinces(regions)in the Yellow River basin has increased to different degrees,and Inner Mongolia has the highest growth rate in grain production efficiency.

super-efficiency SBM modelgrain production efficiencythe Yellow River basinspatio-temporal e-volution

程刚、西成、李旭辉

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安徽财经大学 管理科学与工程学院,安徽 蚌埠 233030

淮南师范学院 教育学院,安徽 淮南 232038

超效率SBM模型 粮食生产效率 黄河流域 时空演化

国家社会科学基金安徽财经大学研究生科研创新基金

22BJY262ACYC2022163

2024

鲁东大学学报(自然科学版)
鲁东大学

鲁东大学学报(自然科学版)

影响因子:0.207
ISSN:1673-8020
年,卷(期):2024.40(3)