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Decomposition Model And Empirical Study Of Poverty In Yunnan Based On Multi-dimensional Shapley Value

Posted on:2014-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2269330422456938Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The problem of poverty is the primary issue facing human development,widespread concern for the international community and national governments. Inorder to build a harmonious society, to achieve the common prosperity of mankind,we must accelerate the economic development of poor areas, prompting the poor toget rich. With the social development, economic enhancement, poverty is also facedwith different problems. Since Sen (1976) proposed the concept of Multidimensionalpoverty, people’s understanding of poverty gradually from just that poverty is purelow income poverty transition to think the connotation of poverty should includehealth, normal life, emotion, perception and so on. In recent years, research onpoverty is entering the period of a more refined, deepening and widening, especiallyexploring poverty impact factors has become the lasting and far-reaching issues tomany governments and academia, and proposed the concept of multidimensionalpoverty provides a new perspective for people to understand and considerations.In recent years, more and more scholars gradually research poverty frommultiple dimensions, faced what is the most fundamental and the most difficultproblem when measure the Multidimensional Poverty is that the problem ofalternative and complementary between different dimensions. In view of this, most ofthe scholars in the study of the problem of poverty, have sought to decomposition ofpoverty, in order to identify and quantify the role and effectiveness of the variousfactors of poverty changes. Concerning the poverty Decomposition, different scholarshave proposed different decomposition method, originally Kakwani and Subbarao(1990) and Jain and Tendulkar (1990) proposed the types of the path-dependentdecomposition (i.e. asymmetric decomposition), Datt and Ravallion (1992) thinksthat the first two decomposition methods can not handle the cross-term povertydecomposition, thereby introducing the residuals. In recent years, Wan and Zhang(2006) introduced Shapley decomposition of cooperative game theory into of thepoverty decomposition, to achieve the complete decomposition. It is also what is thearticle used.This paper selects the data of Yunnan Province during1978-2012, carries on theanalysis focuses on the cause of poverty of the influence of Yunnan province since thereform and opening up. Using the Shapley decomposition method based on regression to regression and decomposition from the four dimensions of assets,education, health, medical conditions. The decomposition results show that, on behalfof the assets of rural housing area per capita is the greatest impact to income gap,followed on behalf of the health of the labor force in the entire half of the averagehousehold, on behalf of the government in education expenditure on educationaccounted for the proportion of fiscal expenditure in third place, and finally is thenumber of technical staff on behalf of the conditions of medical institutions andhealth institutions in rural areas. This paper also gives the correspondingcountermeasures and suggestions: Support local economic development projects andurbanization; Labor-related skills training; waive tuition and fees and took the lead inthe middle and low-income regions to implement12-year compulsory education;Implementation of the new rural cooperative medical system, referred to as "NewCMS", stratified for health insurance, for low-income people to completely removethe minimum charge.
Keywords/Search Tags:Multidimensional poverty, poverty decomposition, influencing factors, Shapley method
PDF Full Text Request
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