基于转子位置角预测的车用异步电机控制算法

以四川省阿坝州、甘孜州和凉山州的农村贫困退出家庭为调查对象,通过对自然资本、人力资本、物质资本和金融资本的分析,识别深度贫困地区贫困户的稳定脱贫。引入贫困退出的持续时间临界值以及多维度脱贫临界值,对稳定脱贫进行动态测度。研究发现,随着稳定脱贫持续时间的延长,贫困退出发生率、稳定脱贫广度指数以及动态的稳定脱贫指数均有所下降,且存在区域差异。从稳定脱贫指数的分解看,金融资本和人力资本维度对稳定脱贫贡献较大,人均纯收入、医疗保障和收入结构等三项指标是当前农户稳定脱贫的的主要贡献因素。因此,农户家庭长期稳定脱贫是多因素综合的结果。

Dynamic Measurement of Peasant Households Stable Poverty Alleviation from the Perspective of Livelihood Capital

From the perspective of livelihood capital, take examples of poverty-stricken families who have already withdrawn from rural poverty in Aba, Ganzi and Liangshan regions in Sichuan Province as research objects, and identify the stable poverty alleviation of poor households through the analysis of natural capital, human capital, material capital and financial capital. On this basis, take dynamic measurements for stable poverty alleviation with the introduction of the critical value of the duration of withdrawal from poverty and the critical value of multi-dimensional poverty alleviation. The study finds that the incidence rate of withdrawal from poverty, stable poverty alleviation breadth index and the dynamic index of stable poverty alleviation all decline with the extension of the duration of stable poverty alleviation. And there are regional differences in the extent of decline in these indices. From the decomposition of stable poverty alleviation index, the dimensions of financial capital and human capital contribute a lot to the stable poverty alleviation. Per capita net income, medical security and income structure are three main contributing factors for farmers to get rid of poverty stably. Therefore, the long-term stable poverty alleviation of peasant households is the result of multiple factors.