摘 要
从世界范围来看,一个国家中企业的兴衰很大程度上影响了国家的经济实力。企业的成败一直以来都是企业研究的核心问题。房地产业作为我国国民经济中的支柱产业,对其失败现象进行研究意义尤为重大。首先,房地产开发企业失败研究是房地产开发业进行企业管理的需要;其次,研究失败是获得成功的有效途径;最后,对企业失败的研究是进行企业失败预警的理论基础。
本文的研究中明确了房地产开发企业失败的概念,确定了其研究内容和方法,通过分析影响我国房地产开发企业失败的各种宏观和微观因素,提出了房地产开发企业的战略管理对策,并建立起若干适应我国房地产开发企业的失败预测模型。本文中把定性分析方法和定量分析方法结合了起来。定性分析方法主要是单变量分析,定量分析方法有多变量模型和神经网络模型。各模型的样本采用的是以房地产开发为主营业务的我国房地产上市公司,变量采用了上述各公司的财务指标和比率。经检验,最终得到的三个模型都具备了较好的判别预测能力,可以应用于房地产开发企业失败预测的实践中。
随着统计技术的改进和理论研究的进一步发展,当前社会科学研究的一些热点方法也将逐渐被引入房地产开发企业失败的研究中并加以普及,必将使我国的房地产开发企业失败研究进入一个新的理论高度。
关键词:房地产开发 企业失败 战略管理 单变量分析 多变量模型 神经网络模型
Abstract
From a global perspective, the prosperity and decline of enterprises in a country hasinfluenced the national economic potentiality remarkably. The success or failure ofenterprises has always been the mail concern of enterprise studies. The real estate industryserves as the pillar industry in our national economy, so it is significant to study the failurephenomenon of real estate corporations. Firstly, it is to the need of real estate corporationsfor carrying through corporate management. Secondly, studying failure is an effective wayto obtaining success. Finally, the research of corporate failure is the theory foundation for corporate failure early warning.
This thesis tries to define the conceptions of real estate corporate failure anddetermine its contents and methods. By analyzing each macroscopic and microscopicfactor that affects real estate corporate failure in our country, the thesis proposed somestrategic management countermeasures for real estate corporations, and established somefailure forecasting models that adapt to real estate corporations in China. In this thesis,qualitative analysis methods and quantitative analysis methods are unified for the research.Single variable analysis is the mainly used qualitative analysis method in this thesis, whilemultivariable model and neural network model used as the main quantitative analysismethods. Listed companies, whose businesses are primarily in real estate, have been usedas samples forthese three models, with their financial indexes and ratios as variables.Having been adjusted, it has verified that these three models work well not only indistinguishing between fail corporations and healthy ones, but also in forecasting failure. Then, the adjusted models can be applied in practice while forecasting real estate corporate failure in China.
With the improvement of statistical technology and further development of theoryresearch, more and more popular methods that are applied in social sciences research atpresent will be introduced into the research of realestate corporate failure and widely used,which will certainly make great progress to real estate corporate failure researchinChina.
Keywords: Real Estate Corporate Failure Strategic Management Single Variable Analysis Multivariable Model Neural Network Model