保障性住房分配的公平性评价

发布时间：2018-10-20 18:42

【摘要】：保障性住房是我国社会保障体系的重要组成部分,是一项解民忧、惠民生的重要举措,关系国家民生大计。公平分配是实现保障性住房保障目的的重要手段,是保障性住房建设和发展的生命线,因此研究和评价保障性住房分配的公平性对保障性住房的建设和发展具有重要的意义。论文分析了当前我国保障性住房建设现状,指出廉租房和经济房是在当前我国保障性住房主要形式,比较了两种住房分配模式及政策演变过程中存在的问题。通过对保障性住房的分配现状的分析,指出我国保障性住房分配过程中存在的问题。并以廉租住房的申请条件为指标,通过专家打分,建立影响保障性住房分配指标体系,利用层次分析法确定指标权重,通过对各个指标的打分可以为保障性住房的定性分配提供理论基础。利用洛伦兹曲线模型对保障性住房分配的公平性评价是主要研究内容。将享受保障性住房人员按照人均收入进行从小到大排序,并将排序结果五等分的累计百分比作为横坐标,相对的享受保障性住房使用面积作为纵坐标建立洛伦兹曲线模型。由于天津市保障性住房一直走在全国先列,因此,以天津市廉租住房及经济租赁住房进行实证分析,并计算出相应基尼系数,得到天津市廉租住房基尼系数为0.088,经济租赁住房为0.29。由于目前对保障性住房分配的基尼系数尚未明确界定,因此,参考经济学指标认为基尼系数小于0.3为最佳平均状态。因此,天津市保障性住房分配处于相对公平状态。由于天津市经济租赁住房基尼系数大于廉租住房基尼系数,因此,认为天津市经济租赁住房分配相对廉租住房较为不公平,从保障对象不同、资金投入力度不同、监管主体不同三方面分析天津市经济租赁住房较为不公平的原因。最后,根据保障性住房分配的影响因素及保障性住房分配评价模型,对我国保障性住房分配政策及法规提出对策建议,为保障性住房分配的顺利发展提供理论支持。
[Abstract]:The indemnificatory housing is an important part of the social security system of our country. It is an important measure to solve the people's worries and benefit the people's life, which is related to the national livelihood. Fair distribution is an important means to realize the goal of indemnificatory housing security and the lifeline of construction and development of supportable housing. Therefore, it is of great significance to study and evaluate the fairness of the allocation of affordable housing for the construction and development of supportable housing. This paper analyzes the current situation of the construction of affordable housing in China, points out that low-rent housing and economic housing are the main forms of affordable housing in China, and compares the problems existing in the evolution of the two housing allocation modes and policies. Based on the analysis of the distribution of affordable housing, this paper points out the problems in the process of the distribution of affordable housing in China. With the application condition of low-rent housing as the index, the index system of influencing the allocation of affordable housing is established through experts' scoring, and the index weight is determined by AHP. It can provide the theoretical basis for the qualitative distribution of the indemnificatory housing through the scoring of each index. Using Lorentz curve model to evaluate the fairness of affordable housing allocation is the main research content. According to the per capita income, the personnel of affordable housing will be ranked from small to large, and the accumulated percentage of the fifth equal of the ranking result will be taken as the coordinate of the horizontal coordinate, and the Lorentz curve model will be established by using the area of the relative enjoyment indemnificatory housing as the ordinate. As the affordable housing in Tianjin has always been listed in the first place in the country, the empirical analysis is carried out with the low-rent housing and the economic rental housing in Tianjin, and the corresponding Gini coefficient is calculated. The Gini coefficient of low rent housing in Tianjin is 0. 088, and that of economic rental housing is 0. 29. Since the Gini coefficient of the distribution of affordable housing is not clearly defined at present, it is considered that the Gini coefficient less than 0.3 is the best average state in the economic index. Therefore, the distribution of affordable housing in Tianjin is in a relatively fair state. Because the Gini coefficient of economic rental housing in Tianjin is larger than that of low-rent housing, it is considered that the distribution of economic rental housing in Tianjin is relatively unfair. This paper analyzes the reasons why Tianjin's economic rental housing is unfair from three aspects. Finally, according to the influencing factors of the distribution of affordable housing and the evaluation model of the allocation of indemnificatory housing, this paper puts forward some countermeasures and suggestions for the policy and regulations of the allocation of affordable housing in China, which provides theoretical support for the smooth development of the allocation of affordable housing.
【学位授予单位】：华北理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F299.23

【参考文献】