基于SD模型的上海住房保障水平仿真研究
[Abstract]:With the expansion of population and the rapid development of urbanization, more and more people gather in the city. The aggregation of population leads to the huge demand for urban housing and land, which leads to the rapid increase of house prices. At the same time, with the widening income gap in our country, the national wealth is mainly concentrated in the hands of the high-income class, and the low-and middle-income class's desire to buy a house is more difficult to realize, and can only "look at the house and sigh". For this reason, the government began to carry out housing security projects to protect the most basic housing rights of the middle-and low-income class. With the increasing attention attached to affordable housing by the central and local governments at all levels, the academic research on housing security has also blossomed everywhere. However, there are few studies on the level of housing security. Based on the combination of theory and practice, this paper takes the housing security level of Shanghai as the research object, establishes the system dynamics model, and carries on the policy simulation experiment to the housing security level, In order to find out the effect of the important policy parameters on the housing security level in the system, the corresponding policy recommendations are put forward. The research ideas are as follows: firstly, the paper summarizes the theoretical research and literature review on the level of housing security. The theoretical research part is the basis of the full-text research, and the literature review is not only of great significance to the development of this paper. At the same time, it is also the starting point of this paper. Secondly, a theoretical model of housing security level based on system dynamics is established, which consists of four subsystems. Then, using the system dynamics model to carry on the empirical analysis to the housing security level of Shanghai, establish the structure equation of the model, estimate the parameters and test the model, then set up six scene simulation experiments. In order to study the impact of important policy parameters in the system on the level of housing security. Finally, according to the simulation analysis results, the reasonable countermeasures and suggestions are given, which is the starting point and the end point of this paper. Through the policy simulation experiment, this paper holds that the "head subsidy" is more efficient than the "brick subsidy" in the way of subsidizing affordable housing, and the government can take the following measures to improve the level of housing security. That is to say, it is necessary to determine the appropriate proportion of housing security investment, optimize the investment structure of housing security, create a stable environment for the development of real estate market, establish and perfect the personal credit system, and prepare strategies for the change of fertility policy. At the same time, we must pay more attention to the legal construction of affordable housing, the establishment of policy-based financial support system, the widening of financing channels, and the determination of guarantee objects. Only by constantly improving the housing security system can the housing security level be improved, so that more low-and middle-income groups can enjoy the housing security benefits of the government. The research in this paper has certain theoretical significance and practical value. The establishment of the SD model of housing security level enriches the research results in the field of housing security, and at the same time, The simulation analysis of the housing security level in Shanghai has certain reference significance to grasp the overall housing security level in Shanghai, improve the housing security system, and formulate the strategy of stage and long-term. The establishment of housing security system in other parts of the country also has a strong reference value.
【学位授予单位】:上海工程技术大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:F299.23
【参考文献】
相关期刊论文 前10条
1 詹浩勇;陈再齐;;加拿大社会保障住房的发展及其启示[J];商业研究;2012年04期
2 杨丽霞;杨桂山;苑韶峰;;数学模型在人口预测中的应用——以江苏省为例[J];长江流域资源与环境;2006年03期
3 程茂吉;;南京市人口规模预测与空间分布引导研究[J];城市发展研究;2011年08期
4 张静;国外住房保障制度对我国的启示[J];城市开发;2002年02期
5 汤腊梅,尹建中;湖南省住房保障制度建设的探索与发展[J];城市开发;2004年05期
6 刘卫星;周国强;;吉林地区房地产三级市场系统动力学模拟与仿真[J];东北电力大学学报;2011年Z1期
7 李辉婕;;各地区廉租住房保障水平测算及其与经济发展的适应性分析[J];当代财经;2008年11期
8 余劲;袁南南;;保障性住房补贴方式探析[J];湖北社会科学;2010年10期
9 胡娟;林建永;季学明;;借鉴国际经验,建设中国特色住房保障计划[J];发展研究;2010年04期
10 钱瑛瑛;中国住房保障政策研究——经济适用房与廉租住房[J];中国房地产;2003年08期
相关硕士学位论文 前7条
1 芦畅;基于“PEST”分析范式的辽宁省住房保障水平研究[D];中国海洋大学;2011年
2 廖阳;廉租住房政策实施过程中廉租对象界定问题研究[D];西安建筑科技大学;2004年
3 彭毅;主体功能区战略引导下的区域土地利用模式及情景模拟[D];浙江大学;2009年
4 吴砚;陕西省城镇低收入家庭住房保障政策研究[D];西北大学;2010年
5 刘楠;河北省住房保障水平差异化研究[D];河北经贸大学;2012年
6 李伏贞;西安市城镇保障性住房保障体系研究[D];长安大学;2012年
7 李yN博;保障性住房建设中的地方政府责任研究[D];东北林业大学;2013年
,本文编号:2435521
本文链接:https://www.wllwen.com/jingjilunwen/fangdichanjingjilunwen/2435521.html