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基于DEMATEL-熵權(quán)法云南多維貧困指標的權(quán)重研究

發(fā)布時間:2018-10-10 10:07
【摘要】:目前,對于多維貧困的研究尚處于理論逐步完善階段,多維貧困指標權(quán)重的設定一般都是人為武斷地賦予相同數(shù),這種武斷的做法,受到貧困測量專家們的一致批評。在人類貧困指數(shù)的框架內(nèi),將生存貧困與發(fā)展貧困相結(jié)合,遵照科學性、可行性、具體性、綜合性等指標選取原則,選擇包括收入、支出、教育衛(wèi)生、人口素質(zhì)、發(fā)展環(huán)境五個方面的16個指標作為研究對象,采用DEMATEL與熵權(quán)法相結(jié)合的主客觀綜合賦權(quán)法來評價多維貧困指標。 DEMATEL法作為一種主觀賦權(quán)法,具有直觀性強、應用性廣、模型可靠、數(shù)據(jù)容量大的優(yōu)點;熵權(quán)法作為一種客觀賦權(quán)法,精度較高,適應性強,能夠客觀地評價系統(tǒng)。主客觀賦權(quán)法相結(jié)合,,既可以充分體現(xiàn)決策者對不同指標的主觀認知程度,又能客觀處理已知信息。云南省作為全國貧困面積最大、貧困人口最多、貧困程度最深的身份之一,用主客觀賦權(quán)法研究它的多維貧困,既能根據(jù)實際情況選擇指標和評價指標,又有大量的貧困統(tǒng)計數(shù)據(jù)作為支撐。此外,本文在選擇維度時,考慮到了個體的脆弱性和貧困的長期性、反復性,所以從發(fā)展貧困這個層面出發(fā),選擇了教育衛(wèi)生、人口素質(zhì)和發(fā)展環(huán)境這三個維度,從而在這三個層面找出反貧困的內(nèi)在驅(qū)動力。 本文通過對云南省多維貧困指標權(quán)重的研究發(fā)現(xiàn),收入和支出仍然在多維貧困中扮演重要角色,與此同時,發(fā)展貧困作為一個整體也不容小覷。此外,從本文的研究中我們也發(fā)現(xiàn),雖然政府的扶貧力度在不斷加大,但是農(nóng)村扶貧中存在較高的效率逸出。為此,本文的建議是:加大對扶貧資金的監(jiān)督力度,構(gòu)建政府農(nóng)村反貧困績效評價機制;在進一步建立和完善社會保障體系的基礎上,扶貧方向向貧困地區(qū)的發(fā)展環(huán)境營造、產(chǎn)業(yè)升級和貧困人口自身發(fā)展能力上傾斜。
[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.
【學位授予單位】:云南財經(jīng)大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F126;F224

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