基于地理国情监测的贫困评价指标体系的建立研究

发布时间：2018-07-10 05:34

本文选题：多维贫困评价 + 地理国情监测　；参考：《西安科技大学》2017年硕士论文

【摘要】：贫困是当今社会亟待消除的矛盾之一,而对贫困的评价是解决贫困问题极其关键的一步。针对贫困的复合性和特殊性,本文采用多维度分析的策略而非以单一的收入作为评价准则,将贫困划分为自然、经济和社会三个维度,每个维度下确立不同指标并采用层次分析法建立模型计算权重,以此构建多维贫困评价指标体系。以往的传统研究大都从结果出发,难以解决贫困的反复性和区域性问题,针对这一特性,本文从致贫的根本机理出发以地理国情监测数据为分析基础形成对贫困的动态监测,借助空间网格技术以组级区域为基础评价单元,并结合缓冲区分析为分值计算方法来评价贫困,较好的实时掌握贫困变化。本研究的实验样本为内部地理条件差异较大的陕西省咸阳市礼泉县,通过模型演算得出贫困指数和等级并与实地调查结果对比,得出的主要结论有如下四点:(1)地理国情监测数据较全面地覆盖了评价体系构建时的致贫因素,并且得益于其所提供地理信息的现势性,可保证评价结果具备随事物发展动态变化的特征。(2)验证了该评价体系的可操作性和有效性,可为后续的精准扶贫提供技术支持和决策辅助。(3)在一定区域内,不同评价单元自然维度的影响并不会产生较大的差异,而经济维度和社会维度的影响存在明显差异。(4)经济资源与社会资源的集中程度往往较为统一,体现在经济维度分值与社会维度分值的变化程度趋于同步。
[Abstract]:Poverty is one of the contradictions that urgently need to be eliminated in today's society, and the evaluation of poverty is a crucial step in solving the problem of poverty. In view of the complexity and particularity of poverty, this paper adopts the strategy of multidimensional analysis rather than a single income as the evaluation criterion, and divides poverty into three dimensions of nature, economy and society, and each dimension Establishing the different indexes and using the analytic hierarchy process to establish the model calculation weight, so as to construct the multi-dimensional poverty evaluation index system. Most of the previous traditional studies are starting from the results, and it is difficult to solve the problems of the poverty and the regional problems. In view of this characteristic, this paper is based on the basic mechanism of poverty reduction and based on the geographical conditions monitoring data. The dynamic monitoring of poverty is formed, with the help of the spatial grid technology based on the group level area as the base evaluation unit and the buffer zone analysis as the value calculation method to evaluate the poverty in real time. The experimental sample of this study is the Liquan County of Xianyang, Shaanxi, which has a large difference in the internal geographical conditions. The index and grade of poverty are compared with the results of the field survey, and the main conclusions are as follows: (1) the geographical condition monitoring data covers the factors of poverty reduction in the construction of the evaluation system, and benefits from the potential of the geographic information provided by it, which can ensure the dynamic changes of the evaluation results with the development of the things. (2) verification. (2) The operability and effectiveness of the evaluation system can provide technical support and decision-making assistance for the follow-up precision poverty alleviation. (3) in a certain area, the impact of the natural dimensions of different evaluation units will not produce greater differences, and there are obvious differences between the economic dimension and the social dimension. (4) the concentration of economic resources and social resources Degrees tend to be more uniform, reflecting the degree of change in the scale of economic dimension and social dimension.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F126

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