Today, deficiencies of credit in many real estate businesses have played a great influence on the healthy development of the real estate market. For real estate businesses, the deficiencies of credit affect their own development in one hand; reduce the value of its real estate products in another hand. Based on the background above, this paper analyzes the credit and business development of real estate in 12 typical cities in China by software DPS, using the model and principle of grey correlation analysis. Arranging out of order in accordance with the relevant degree makes the original fuzzy and qualitative relationship become clearly quantify. By analyzing we draw the following conclusions: There is a positive correlation between good credit and housing price growth for real estate, but real estate credit has little to do with the profits of the real estate industry. The real estate businesses will not be punished for lack of credit, which is the reason why some real estate businesses ignore the real estate business credit.
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