基于DEMATEL-熵权法云南多维贫困指标的权重研究

发布时间：2018-10-10 10:07

【摘要】：目前，对于多维贫困的研究尚处于理论逐步完善阶段，多维贫困指标权重的设定一般都是人为武断地赋予相同数，这种武断的做法，受到贫困测量专家们的一致批评。在人类贫困指数的框架内，将生存贫困与发展贫困相结合，遵照科学性、可行性、具体性、综合性等指标选取原则，选择包括收入、支出、教育卫生、人口素质、发展环境五个方面的16个指标作为研究对象，采用DEMATEL与熵权法相结合的主客观综合赋权法来评价多维贫困指标。 DEMATEL法作为一种主观赋权法，具有直观性强、应用性广、模型可靠、数据容量大的优点；熵权法作为一种客观赋权法，精度较高，适应性强，能够客观地评价系统。主客观赋权法相结合，，既可以充分体现决策者对不同指标的主观认知程度，又能客观处理已知信息。云南省作为全国贫困面积最大、贫困人口最多、贫困程度最深的身份之一，用主客观赋权法研究它的多维贫困，既能根据实际情况选择指标和评价指标，又有大量的贫困统计数据作为支撑。此外，本文在选择维度时，考虑到了个体的脆弱性和贫困的长期性、反复性，所以从发展贫困这个层面出发，选择了教育卫生、人口素质和发展环境这三个维度，从而在这三个层面找出反贫困的内在驱动力。本文通过对云南省多维贫困指标权重的研究发现，收入和支出仍然在多维贫困中扮演重要角色，与此同时，发展贫困作为一个整体也不容小觑。此外，从本文的研究中我们也发现，虽然政府的扶贫力度在不断加大，但是农村扶贫中存在较高的效率逸出。为此，本文的建议是：加大对扶贫资金的监督力度，构建政府农村反贫困绩效评价机制；在进一步建立和完善社会保障体系的基础上，扶贫方向向贫困地区的发展环境营造、产业升级和贫困人口自身发展能力上倾斜。
[Abstract]:At present, the study of multidimensional poverty is still in the stage of gradual improvement of theory, and the setting of the weight of multidimensional poverty index is usually given the same number artificially and arbitrarily, which is criticized unanimously by the poverty measurement experts. Within the framework of the human poverty index, combining survival poverty with development poverty, following the principles of scientific, feasible, concrete and comprehensive selection of indicators, including income, expenditure, education and health, population quality, etc. Sixteen indexes in five aspects of development environment were used as the research object, and the subjective and objective comprehensive weighting method combined with DEMATEL and entropy weight method was adopted to evaluate multi-dimensional poverty indicators. As a subjective weighting method, DEMATEL method has the advantages of strong intuitionism, wide application, reliable model and large data capacity. As an objective weighting method, entropy weight method has high accuracy and strong adaptability, and it can objectively evaluate the system. The combination of subjective and objective weighting methods can not only fully reflect the degree of subjective cognition of decision makers to different indicators, but also deal with known information objectively. Yunnan Province, as one of the largest poverty areas, the largest number of poor people and the deepest degree of poverty in China, can use subjective and objective empowerment methods to study its multidimensional poverty, which can not only select indicators and evaluation indicators according to the actual situation, There is also a large number of poverty statistics as support. In addition, in choosing dimensions, this paper takes into account the vulnerability of individuals and the long-term nature of poverty. Therefore, from the perspective of development poverty, this paper chooses the three dimensions of education and health, population quality and development environment. In order to identify the three levels of anti-poverty driving force. This paper finds that income and expenditure still play an important role in multidimensional poverty in Yunnan Province, and at the same time, the development of poverty as a whole can not be underestimated. In addition, from the study of this paper, we also find that although the government's poverty alleviation efforts are increasing, there is a higher efficiency in poverty alleviation in rural areas. Therefore, the suggestions of this paper are: to strengthen the supervision of poverty alleviation funds, to construct the evaluation mechanism of government rural anti-poverty performance, to build the development environment of poverty-stricken areas in the direction of poverty alleviation on the basis of further establishing and perfecting the social security system. Industrial upgrading and poor people's ability to develop themselves tilted.
【学位授予单位】：云南财经大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F126;F224

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