中国农村居民家庭人均纯收入的聚类分析

简述了中国农村的现状，介绍了聚类分析的原理。根据相关统计资料，采用聚类分析方法，对中国各地区农村居民家庭人均纯收入进行了分析。结果表明，全国31个省（市、自治区）可划分为4类：第1类为北京、上海，此类地区综合经济实力处于全国前列；因而农村居民家庭人均纯收入也位于前列；第2类为天津、江苏、浙江，3省具有优越的农业生产条件，农业基础较好，农村居民收入来源稳定；第3类为辽宁、山东、福建、广东，4省均位于我国东部沿海地区，具有丰富的海洋资源，适宜于农作物生长，农村居民生活水平相对较高；其他各省（区）归于第4类，由于受地理位置和气候条件的影响，农业产值和农村居民家庭人均纯收入均较低。

Cluster Analysis on Per Capita Net Income of Rural Households in China

The status of rural areas in China was summarized, and the principle of Cluster Analysis was introduced. According to related statistical data, per capita net income of rural households in various regions of China was analyzed by adopting the method of Cluster Analysis. The results showed that 31 cities, autonomous regions and provinces in China could be divided into 4 types. The first type included Beijing and Shanghai. The regions' comprehensive economic strength as well as per capita net income of rural households ranked among the nation's best levels. The second type included Tianjin, Jiangsu and Zhejiang. The 3 provinces were had superior conditions of agricultural production. The foundation of agriculture was excellent, and income sources were stable. The third type included Liaoning, Shandong, Fujian and Guangdong. The 4 provinces with abundant marine resources were located in eastern coastal area which was adapted to the growth of crops. living level of rural residents was relatively higher. The other regions can be classified as the fourth type. Due to the influence of locations and climate conditions , agricultural output and per capita net income of rural households were lower.