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基于熵值法的上海市公租房政策经济性分析
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Abstract:
住房问题已经不仅是我国的现实民生问题,更是当前事关社会经济健康有序发展和全国社会政治安定的社会经济问题。在我国房地产价格仍然不断上涨的大背景下,对城市房地产行业的国家宏观调控和政策,依然未能在短期内有效地解决我国中、低收入家庭群众的住房问题。虽然市场机制可以提高资源配置效率,满足不同的住房需求,但由于收入差距巨大,很难保证人人都能买到商品房。《联合国宪章》规定,为所有人提供住房是每个政府的责任,也是政府必须做的。我国政府加快公租房体系建设,从国家层面制定和规范公共住房制度。在公租房保障政策出台之前,上海基本上形成了明确为低收入家庭实行以政府公共租赁性质住房供应为保障,为低收入家庭提供经济改善公租房为主的分层住房体系。据此,按照上海政策制定下发了相应类型的廉租房,公共租赁住房规划建设补助政策,解决城乡不同住房收入层次家庭的住房问题。本文首次尝试了运用熵值法对上海市的公共租赁住房保障政策进行经济性研究。
The housing problem is not only a realistic livelihood problem in China, but also a social and eco-nomic problem related to the healthy and orderly development of social economy and the stability of the national social politics. Under the background that the real estate price in China is still rising, the national macro-control and policies on the urban real estate industry still fail to effectively solve the housing problem of middle-and low-income families in China in the short term. Although the market mechanism can improve the efficiency of resource allocation and meet different housing needs, due to the huge income gap, it is difficult to ensure that everyone can buy commercial hous-ing. According to the Charter of the United Nations, it is the responsibility of every government to provide housing for all, and it is also a must for the government. Our government has accelerated the construction of the public rental housing system, and formulated and standardized the public housing system from the national level. Before the public rental housing security policy was intro-duced, Shanghai basically formed a stratified housing system that explicitly guaranteed low-income families with government public rental housing supply and provided low-income families with eco-nomically improved public rental housing. Accordingly, according to Shanghai’s policies, we formu-lated and issued the corresponding types of low rent housing and public rental housing planning and construction subsidy policies to solve the housing problems of urban and rural families with different housing income levels. This paper attempts to use entropy method for the first time to study the economy of Shanghai’s public rental housing security policy.
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