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基于聚类分析的农机购置补贴区域分类
引用本文:恽竹恬,黄 凰.基于聚类分析的农机购置补贴区域分类[J].农业工程学报,2010,26(14):253-258.
作者姓名:恽竹恬  黄 凰
作者单位:中国农业大学 工学院,北京 100083;中国农业大学 工学院,北京 100083
摘    要:为提高农机购置补贴效果,合理配置补贴资源,提出健全农机购置补贴政策应进行区域分类研究。该文提出粮食生产能力、经济水平、农民购买能力及自然条件是影响补贴区域分类的4个主要因素,并选取粮食产量、人均GDP、农民人均纯收入、丘陵山区所占比重作为衡量指标,利用Q-型系统聚类分析方法,对中国农机购置补贴进行区域分类,通过定性修正得出将31个省(市、区)分为4类区域的分类结果。针对各区域特征、农业机械化发展及投入现状,在补贴总量及结构、补贴机具、补贴标准等方面提出优化农机购置补贴的政策建议。

关 键 词:聚类分析,农业机械,区域规划,购置补贴
收稿时间:2010/8/23 0:00:00
修稿时间:2010/11/4 0:00:00

Regional classification of subsidy for purchasing agricultural machinery based on cluster analysis
Huang Huang and Huang Huang.Regional classification of subsidy for purchasing agricultural machinery based on cluster analysis[J].Transactions of the Chinese Society of Agricultural Engineering,2010,26(14):253-258.
Authors:Huang Huang and Huang Huang
Abstract:In order to enhance the effect of subsidy for purchasing agricultural machinery, and allocate the subsidy resources reasonably in China, it was proposed to improve the subsidy policy for purchasing agricultural machinery by studying regional classification. In this paper, grain production capacity, economy level, purchasing ability of farmers and natural conditions were considered to be the four main factors that influence the regional classification, and grain production, per capita GDP, per capita net income of farmers, and the proportion of mountain area were selected as the indicators. The subsidy for purchasing agricultural machinery was classified by using Q-type Hierarchical Cluster Analysis, and the whole 31 provinces were classified into four types of regions based on qualitative adjustment. Policy suggestions on optimization of the subsidy for purchasing agricultural machinery were proposed in the aspects of amount and structure of the subsidy, the type of agricultural machinery and subsidy standards based on regional characteristics and the current status of agricultural mechanization.
Keywords:cluster analysis  agricultural machinery  regional planning  subsidy for purchasing
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