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

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Listed:
  • Guan, Linlin
  • Men, Ke-pei

Abstract

We summarize the status of rural areas in China, and introduce the principle of Cluster Analysis. According to related statistical data, per capita net income of rural households in various regions of China is analyzed by adopting the method of Cluster Analysis. The results showed that 31 cities, autonomous regions and provinces in China can be divided into 4 types. The first type includes Beijing and Shanghai. Comprehensive economic strengths of these regions, as well as per capita net income of rural households, are in the forefront. The second type includes Tianjin, Jiangsu and Zhejiang Provinces of China, which have superior conditions of agricultural production with excellent foundation of agriculture and stable income sources. The third type includes Liaoning, Shandong, Fujian and Guangdong. The 4 provinces are located in eastern coastal area which have abundant marine resources and relatively higher living level of rural residents, and are suitable for the growth of crops. The rest regions can be classified into the fourth type, which have lower agricultural output and per capita net income of rural households due to the impacts of location and climate condition.

Suggested Citation

  • Guan, Linlin & Men, Ke-pei, 2009. "Cluster Analysis on Per Capita Net Income of Rural Households in China," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 1(06), pages 1-4, June.
    • Handle: RePEc:ags:asagre:53757
    DOI: 10.22004/ag.econ.53757
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    Cited by:

    1. Caifeng Tan & Jianping Tao & Lan Yi & Juan He & Qi Huang, 2022. "Dynamic Relationship between Agricultural Technology Progress, Agricultural Insurance and Farmers’ Income," Agriculture, MDPI, vol. 12(9), pages 1-17, August.

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