| 侯林春，闫晓冉，李蓬勃，王媛媛.基于DEA与空间自相关的湖北省
粮食生产效率分析[J].广东农业科学,2013,40(23（农经版）):88-93 |
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基于DEA与空间自相关的湖北省
粮食生产效率分析 |
| Analysis of grain production efficiency in Hubeiprovince based on DEA and spatial autocorrelation |
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| DOI： |
| 中文关键词: 粮食生产效率 数据包络分析 空间自相关分析 湖北省 |
| 英文关键词: grain production efficiency data envelopment analysis (DEA) spatial autocorrelation analysis Hubei province |
| 基金项目:教育部人文社科青年基金(12YJC790058)；湖北省自然科学基金（2013CFC089）；中国地质大学（武汉）中央高校优秀青年教师基金（CUGL110209） |
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| 中文摘要: |
| 运用数据包络分析（DEA）和空间自相关分析法，分析湖北省各县的粮食生产效率及空间相关性。结果表明：研究区内最优规模的地区占研究区总数的12%，规模过小的地区占7%，规模过大的地区占12%，技术无效率的地区占62%，容易改进的地区占7%。粮食生产效率在全局空间自相关上为正相关，为集聚分布，生产效率高的区域和生产效率低的区域各自集聚分布；从局部空间自相关看，分为H-H、H-L、L-L、L-H4个部分。H-H聚集主要分布在粮食生产条件优越的主产区，H-L和L-H区域主要分布在山地和平原的接触带，L-L聚集主要集中于山区不利于粮食生产的地区。 |
| 英文摘要: |
| Using data envelopment analysis (DEA) and spatial autocorrelation analysis method, this article evaluates the grain production efficiency and spatial correlation of each county in Hubei Province. The results show that, optimal size of the study area is 12%, small scale is 7%, the too large scale accounts for 12%, technical inefficiency accounts for 62%, and easily improved is 7%. The food production efficiency on a global spatial autocorrelation is positively related and agglomeration distribution, and the areas with high efficiency are concentration distribution and low areas also concentration distribution. From
the local spatial autocorrelation, they are divided into H-H, H-L, L-L, L-H four parts. H-H are the main producing areas superior for grain production. H-L and L-H are mainly the contact zone of mountains and plains. L-L are mountainous areas,are not conducive to food production . |
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