供给侧改革下的安徽省房地产投资效率研究

发布时间：2018-02-06 03:22

本文关键词： 供给侧改革房地产投资效率 SBM超效率DEA Malmquist　出处：《安徽理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：21世纪,房地产业已经成为支撑我国经济的重要力量,是影响我国经济增长和社会稳定的关键因素。安徽省房地产市场相比于沿海发达城市起步时间晚,市场化程度也不高,整体发展水平落后于全国平均水平。当全国范围内的房地产进行大规模的投资时,安徽没有任何动静动;而安徽省房地产业正式启动时,全国的房地产投资已趋于饱和。目前安徽省房地产投资虽然也受到宏观调控的影响,产生周期性的波动,但是地区发展极度不平衡,大量的商品房和住房闲置。随着竞争的日益加剧和"供给侧改革"思想的提出,安徽房地产业也面临调结构,降库存的问题,因此通过提升房地产业的投资效率,促进行业的稳定发展,具有重要的现实意义。本文在对房地产投资效率的相关理论和文献进行梳理的基础上,确定了 SBM超效率模型作为本文的主要模型,其次选取了我国30个省和安徽省16个地级市房地产业的数据,运用SBM超效率DEA横向比较了 2015年安徽省与其他各省房地产业综合技术效率、规模效率以及纯技术效率以及排名情况,得出了安徽省目前房地产投资虽然处在规模递增阶段,但是整体效率水平较低,纯技术效率不高是限制我省房地产业投资效率的关键因素,然后利用2005～2015年的面板数据静态分析了安徽省16个地级市11年的效率情况,并将皖江城市带与皖北地区进行对比分析,利用Malmquist指数方法测算了各个地区的全要素生产率值,对安徽省16个地级市的房地产业相对生产效率动态变化状况进行分析。最后在此分析基础之上,结合影响房地产投资效率的因素,利用面板回归模型对安徽省的房地产投资效率影响因素进行分析,提出了提升安徽省房地产投资效率的建议。
[Abstract]:In 21th century, the real estate industry has become an important force to support our economy, which is the key factor to affect the economic growth and social stability. The real estate market in Anhui Province started later than the developed coastal cities. The degree of marketization is not high, the overall level of development lags behind the national average. When large-scale investment in real estate across the country, there is no movement in Anhui; When the real estate industry of Anhui Province officially started, the real estate investment of the whole country has become saturated. At present, the real estate investment in Anhui Province is also affected by macro-control, which produces periodic fluctuations. However, the regional development is extremely unbalanced, a large number of commercial housing and housing idle. With the increasing competition and the idea of "supply-side reform", the real estate industry in Anhui is also facing the problem of adjusting structure and reducing inventory. Therefore, by improving the investment efficiency of the real estate industry and promoting the stable development of the industry, it has important practical significance. The SBM super-efficiency model is determined as the main model of this paper. Secondly, the data of the real estate industry in 30 provinces and 16 prefecture-level cities in Anhui Province are selected. Using SBM super-efficiency DEA, this paper compares the comprehensive technical efficiency, scale efficiency, pure technical efficiency and ranking of real estate industry between Anhui Province and other provinces in 2015. It is concluded that the real estate investment in Anhui Province is at the stage of increasing scale at present, but the overall efficiency level is low, the pure technical efficiency is not high is the key factor to limit the investment efficiency of real estate industry in Anhui Province. Then using the panel data from 2005 to 2015 static analysis of the efficiency of 16 prefecture-level cities in Anhui Province for 11 years and compare the urban belt of Anhui River with that of northern Anhui. The total factor productivity (TFP) of each region is calculated by Malmquist index method. This paper analyzes the dynamic changes of the relative production efficiency of the real estate industry in 16 prefecture-level cities in Anhui Province. Finally, on the basis of the analysis, the paper combines the factors that affect the investment efficiency of the real estate industry. Based on the panel regression model, this paper analyzes the influencing factors of the real estate investment efficiency in Anhui Province, and puts forward some suggestions for improving the real estate investment efficiency in Anhui Province.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F299.23

【参考文献】