The growth ability analysis of chinese listed real estate companies: Based on SOFM models

被引:0
|
作者
Qin, Zheng [1 ]
Jiang, Yanhui [1 ]
机构
[1] Shanghai Univ Fianace & Econ, Sch Informat Management & Engn, Shanghai, Peoples R China
关键词
growth; real estate industry; self-organizing feature map; neural networks;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Corporate growth is one of the frequently researched subjects in different areas of economic science. The growth ability has usually been considered an essential objective of a firm, contributing to its survival and competitive competence. Real estate industry has been one of the shoring industries for Chinese economic growth. The growth of Real Estate companies depends on their performance. This paper aims to provide a more in-depth study of the factors that influence the growth ability of real estate companies, by offering some empirical evidence that will contribute to its modeling, especially in relation to the influence of profitability and operating efficiency and solvency and cost and expenses. Different from the previous research, this study employed the self-organizing feature map (SOFM) method to analyze data. SOFM models are suited for analyzing nonlinear data. The result of empirical study indicates that Real Estate companies' growth ability is coefficient with profitability, operating efficiency and solvency. Especially it is significantly coefficient with its cost and expenses.
引用
收藏
页码:1033 / 1038
页数:6
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