农村低收入人口的测度及影响因素研究基于四川省农户调查数据的分析

Research on the Measurement and Influencing Factors of Rural Low-income Population: Based on the Data of Sichuan Province Household Survey

  • 摘要: 基于2022年的四川省农户调查数据,测度和估算四川省农村低收入人口情况,并使用二元Logistic回归模型分析农村低收入人口的影响因素。结果表明:(1)以政策实践层面标准估算,四川省2021年农村低收入人口占8.76%、约为491万人;以学术研究层面标准估算,四川省2021年农村低收入人口占15.46%、约为867万人。(2)农户生计资本中的人力资本、物质资本、金融资本和社会资本均对农户低收入人口表现出显著的负向影响,但生计资本中的自然资本未表现出显著的负向影响。建议按“缺什么、补什么、强什么”的方式构建常态化的帮扶机制,通过提升人力资本、自然资本、物质资本、金融资本和社会资本水平的方式推动低收入人口的内生动力提升。

     

    Abstract: Based on the data from the 2022 Sichuan household survey, this paper measured and estimated the situation of the low-income rural population in Sichuan, and analyzed the influencing factors of the low-income rural population using a binary logistic regression model. The results showed that, (1) According to the standard of policy practice, the proportion of low-income rural population in Sichuan Province in 2021 was 8.76%, about 4.91 million people; according to academic research level standards, the proportion of low-income rural population in Sichuan Province in 2021 was 15.46%, about 8.67 million people. (2) The human capital, material capital, financial capital, and social capital in the livelihood capital of farmers had significant negative impacts on the low-income population of farmers, but the natural capital in the livelihood capital had no significant negative impact. It was recommended to establish a normalized assistance mechanism based on the principle of “what is lacking, what is being supplemented, and what is being strengthened” , and promoted the endogenous motivation of low-income populations by improving the level of human capital, natural capital, physical capital, financial capital, and social capital.

     

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