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

机译:中国31个省和地区农村居民经济状况的排名和聚类

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摘要

In order to rank and cluster the economic status of rural residents in 31 provinces, cities 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 or cities 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.
机译:为了对31个省,市,自治区农村居民的经济状况进行排名和聚类,使用MATLAB软件对反映各地区经济状况的数据进行了成分分析和聚类分析。结果表明,综合得分最高的省市依次为上海市,北京市,浙江省,江苏省,天津市,广东省,福建省,山东省和辽宁省。综合得分较低的省或自治区是甘肃省,贵州省,西藏自治区,维吾尔自治区和云南省。 31个省,自治区农村居民的经济状况与经济的全面发展部分平行。农村居民经济状况的改善,有利于整体经济水平的提高。因此,政府应协调城乡,工农业,发达地区和欠发达地区以及沿海地区和中西部地区的经济发展,以最大程度地提高整个国家的社会福利。

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