我国31个省区农村居民经济状况排序和聚类

为对我国31个省区的农村居民经济状况进行排序和聚类,借助MATLAB软件,对反映各省区农村居民经济状况的一些数据进行主成分分析和聚类分析。结果表明,综合评价得分较高的依次为：上海、北京、浙江、江苏、天津、广东、福建、山东、辽宁;综合评价得分较低的依次为：甘肃、贵州、西藏、新疆、云南。这31个省区农村居民经济状况与经济发展综合水平大致同步但不完全一致。农村居民经济状况的提升,有赖于整体经济发展水平的提高,应当统筹把握和全面协调城市与农村、工业与农业、发达地区与不发达地区、沿海地区与中西部地区的经济发展,使整个国家社会福利最大化。

Ranking and Clustering of the Economic Status of Rural Residents in 31 Provinces and Autonomous Regions in China

In order to rank and cluster the economic status of rural residents in 31 provinces and autonomous regions,the MATLAB software is used and the component analysis and the cluster analysis are conducted on the data reflecting the economic status of each area.The results show that the provinces with high comprehensive,scores are Shanghai Municipality,Beijing Municipality,Zhejiang Province,Jiangsu Province,Tianjin Municipality,Guangdong Province,Fujian Province,Shandong Province and Liaoning Province according to priority;the provinces or autonomous regions with low comprehensive scores are Gansu Province,Guizhou Province,Tibet,Uygur autonomous region and Yunnan Province.The economic status of rural residents in the 31 provinces and autonomous regions are partly parallel with the comprehensive economic development.The improvement of the economic status of rural residents is helpful for the overall economic elevation.Therefore,the government should coordinate the economic development of urban and rural areas,industry and agricultural,developed region and undeveloped region,and coastal areas and central and western areas to maximize the social welfare of the whole nation.