基于灰色Malmquist-DEA的中国粮食生产效率分析

发布时间：2018-04-11 18:47

本文选题：DEA + Malmquist指数　；参考：《数学的实践与认识》2017年15期

【摘要】：选取全国各省粮食生产指标面板数据,对数据进行灰色拟合处理,采用数据包络分析(DEA)法,测算各区域的粮食生产效率,得到投入产出体系的要素冗余值;同时测算了各区域的全要素生产率,并对Malmquist指数进行分解,分析各区域的效率变化和技术变化趋势.结果显示:东、西部地区粮食生产投入要素大量冗余,要素配置效率不高,中部地区要素利用率较高,要素配置趋于合理;效率变化对全要素生产率的作用不明显,而技术进步是全要素生产率增长的关键驱动因素.
[Abstract]:The grain production index panel data of all provinces are selected, the data are processed by grey fitting, the grain production efficiency of each region is calculated by using data envelopment analysis (DEA) method, and the essential factor redundancy value of input-output system is obtained.At the same time, the total factor productivity of each region is measured, and the Malmquist index is decomposed to analyze the change of efficiency and the trend of technology change in each region.The results show that in the east and west regions, the input factors of grain production are redundant, the factor allocation efficiency is not high, the factor utilization ratio is high in the central region, and the factor allocation tends to be reasonable, and the effect of the efficiency change on the total factor productivity is not obvious.Technological progress is the key driver of total factor productivity growth.
【作者单位】：河南农业大学信息与管理科学学院;
【基金】：河南省高校重点科研项目(17A790027;17A630028) 河南省教育厅人文社科项目(2017-ZZJH-237) 河南省软科学项目(172400410015)
【分类号】：F224;F326.11

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