基于因子分析法的房地产企业经营效益分析
时间:2020-01-17 10:57 来源:毕业论文 作者:毕业论文 点击:次
摘要经营效益分析与评价一直是学者研究的焦点,通过建立综合评价指标体系,可以对企业一定经营期间的经营业绩和发展程度等各方面进行综合评判。房地产业在我国产业体系中起到很重要的作用。对房地产企业的经营效益进行评价,不但有利于提高企业的管理水平,而且有利于扩大就业机会,能够带动企业盈利和成长,从而帮助企业经营者根据行业状况,进行良好的投资决策。44151 本文经过分析比较,以50家房地产企业2013年的财务数据作为研究样本,对我国房地产企业经营效益进行研究。首先分析了我国房地产企业的现状,然后对影响我国房地产企业经营效益评价的相关因素进行深入分析。在此过程中,运用因子分析法构建效益评价模型,并对研究结果做出了进一步的分析评价,提出了相关的政策性建议,从而为房地产企业的发展提供了有效的理论依据。 Analysis and evaluation of operating efficiency has been the focus of academic research through the establishment of comprehensive evaluation index system, you can develop all aspects of business performance and a certain degree of business enterprises comprehensive evaluation period. Real estate has played a very important role in China's industrial system. For real estate companies to evaluate operational effectiveness, not only help to improve enterprise management level, but also conducive to the expansion of employment opportunities that can drive business profit and growth to help business owners, according to industry conditions, make good investment decisions. In this paper, through analysis and comparison, with 50 real estate companies in 2013 financial data as samples of our real estate business efficiency research. First, a general understanding about the realities of the real estate business, then the relevant factors that affect the operational effectiveness of the evaluation of real estate companies have to conduct in-depth research and analysis. In this process, the use of factor analysis Establishment of Evaluation Model, and the findings made further analysis and evaluation, put forward relevant policy recommendations for the development of real estate companies in order to provide an effective theory. 毕业论文关键词:房地产企业;效益评价;因子分析 Keyword: Real estate business;Benefit Assessment;Factor analysis 目 录 1 引言 4 1.1 研究背景 4 1.2 研究内容 4 2 因子分析模型 4 3 房地产企业经营效益指标体系构建 5 3.1 房地产行业发展现状 5 3.2 样本选取和数据来源 5 3.2.1 样本选取 5 3.2.2 指标选取 5 3.3 房地产企业指标分析与评价 6 3.3.1 财务指标分析 6 3.3.2 非财务指标分析 7 4 因子分析法在房地产企业经营效益评价中的应用 7 4.1 因子分析适用性检验 7 4.2 总方差分解 8 4.3 转轴后的因素矩阵 9 4.4 因子得分系数矩阵 10 4.5 结果分析 12 4.5.1 因子得分协方差矩阵 12 4.5.2 综合经营效益得分 (责任编辑:qin) |