基于AHP–模糊综合评价法的公租房政策效果性评估研究——以上海市宝山区为例

Research on the Effectiveness Evaluation of Public Rental Housing Policy Based on AHP Fuzzy Comprehensive Evaluation Method—A Case Study of Baoshan District, Shanghai

摘要: 随着我国经济的发展和人民生活水平的提高，我国多年来的城镇住房制度改革确立了房地产的商业特征，大大增强了房地产市场的活力。在这种形势下，房地产行业的快速发展为人民居住条件的改善创造了条件。与此同时，我国人口的快速增长无疑会加剧全国的住房短缺。住房短缺导致住房压力加大，致使我国中低收入群体的住房问题成为一项重大的民生问题，也成为国家发展关注的重点领域。本文围绕公租房和公租房政策效果性评估的基本内涵。依托已有的理论成果和相关实践经验，结合我国公租房的发展建设状况，以上海市宝山区顾村基地建设为例开展案例研究。结合客观实际，认真分析我国公租房政策存在的问题及成因，通过借鉴国外住房保障政策方面的先进经验，为进一步完善我国公租房政策并评估其有效性提出对策建议。

Abstract: With the development of China’s economy and the improvement of people’s living standards, the reform of urban housing system over many years has established the commercial characteristics of real estate, greatly increasing the vitality of the real estate market. In this situation, the rapid development of the real estate industry has created conditions for the improvement of people’s living conditions. At the same time, the rapid growth of our population will undoubtedly exacerbate the housing shortage across the country. The shortage of housing leads to the increased pressure of housing, which makes the housing problem of the middle and low income groups in China has become a major livelihood problem, and has also become the key area of national development. This paper focuses on the basic connotation of the effect evaluation of public rental housing and public rental housing policies. Relying on the existing theoretical achievements and relevant practical experience, combined with the development and construction of public rental housing in China, the case study was taken in Gucun base of Baoshan District, Shanghai as an example. Combined with the objective reality, this paper carefully analyzes the existing problems and causes of China’s public rental housing policy, and puts forward countermeasures and suggestions for further improving China’s public rental housing policy and evaluating the effectiveness by drawing on the advanced experience of foreign housing security policies.