基于CHNS的中国农村家庭贫困水平的模糊测度研究

发布时间：2018-03-04 02:24

本文选题：食物贫困线　切入点：贫困线　出处：《安徽财经大学》2015年硕士论文　论文类型：学位论文

【摘要】：贫困问题一直以来都是世界性的难题,受到世界各地学者和政府的高度关注。随着进入工业化、城市化和全球化的时代,贫困问题更是社会问题中的一大问题,受到政府的高度重视,制定和实施一系列的扶贫计划和政策。国家和当地政府在制定和实施扶贫减贫计划和政策的时候,首先要考虑的就是如何识别贫困群体,只有在准确和有效的辨别贫困人口之后,才能有针对性的对这些贫困群体进行帮助。本文选取中国健康与营养调查(CHNS)数据库提供的2011年中国12个省的农村居民调查数据,并且运用一维贫困模糊指数的方法对中国农村居民家庭的贫困水平进行测度。首先,从中国健康与营养调查(CHNS)数据库选取的是中国农村居民的人均年收入、受教育程度和子女数这三个指标来构建模型计算出中国农村居民的贫困线。其次,根据计算出来的贫困线测算出中国农村居民家庭的一维贫困模糊指数和贫困模糊信息指数,通过这两个指标来重新度量中国居民家庭总体贫困水平,并且针对每个省的特点,分别对每个省农村居民的实际贫困情况进行分析。然后和传统二分法进行比较,得出的结果是中国农村贫困家庭的比重比较高,但是贫困程度比较低,贫困模糊指数更能真实准确的反应中国居民家庭总体贫困水平。再者,运用模糊贫困指数对传统的扶贫资金分配方法进行改进,得到新的分配扶贫资金的计算公式,根据改进的公式计算出12个省的分配扶贫资金,并且和传统的扶贫资金分配方式进行比较。最后根据对中国农村居民家庭的实证分析结果,针对不同贫困程度的家庭分别提出相应的政策建议,以期为政府制定和实施扶贫计划给以借鉴意义。
[Abstract]:The problem of poverty has always been a worldwide problem, and has been highly concerned by scholars and governments all over the world. As we enter the era of industrialization, urbanization and globalization, the problem of poverty is even more one of the major social problems. The government attaches great importance to the formulation and implementation of a series of poverty alleviation plans and policies. When formulating and implementing poverty reduction plans and policies, national and local governments should first consider how to identify poor groups. Only after accurate and effective identification of people living in poverty can they be targeted to help them. In this paper, the data of rural residents survey in 12 provinces of China in 2011, provided by China Health and Nutrition Survey (CHNSN) database, are selected, and the poverty level of rural households in China is measured by using one dimensional poverty fuzzy index method. From the China Health and Nutrition Survey (CHNSN) database, the average annual income, education level and number of children of Chinese rural residents are selected to build a model to calculate the poverty line of Chinese rural residents. According to the calculated poverty line, the one-dimensional poverty fuzzy index and the poverty fuzzy information index of Chinese rural households are calculated. Through these two indexes, the overall poverty level of Chinese resident families is re-measured, and according to the characteristics of each province, By analyzing the actual poverty situation of rural residents in each province, and comparing it with the traditional dichotomy, the result is that the proportion of poor rural households in China is relatively high, but the poverty level is relatively low. The poverty fuzzy index can more truly and accurately reflect the overall poverty level of Chinese households. Furthermore, the fuzzy poverty index is used to improve the traditional poverty alleviation fund allocation method and to obtain a new formula for calculating poverty alleviation funds. According to the improved formula, the distribution of poverty alleviation funds in 12 provinces is calculated and compared with the traditional poverty alleviation fund allocation. Finally, based on the empirical analysis of rural households in China, This paper puts forward corresponding policy suggestions for families with different poverty levels in order to provide reference for the government to formulate and implement poverty alleviation plans.
【学位授予单位】：安徽财经大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F323.8

【参考文献】