Principal Component Analysis of Influencing Factors of the Development of China's Real Estate Market

ICCREM 2013 ◽  
2013 ◽  
Author(s):  
Xuefeng Wang ◽  
Jing Zhang
Keyword(s):  
Principal Component Analysis ◽  
Real Estate ◽  
Influencing Factors ◽  
Principal Component ◽  
Component Analysis ◽  
Real Estate Market

Coordination Degree Analysis of Real Estate Investment and the National Economy in China - Based on Principal Component Analysis Method

2013 ◽  
Vol 753-755 ◽  
pp. 2870-2874
Author(s):  
Lian Fa Ruan ◽  
Long Jiang Shen
Keyword(s):  
Principal Component Analysis ◽  
Real Estate ◽  
National Economy ◽  
Principal Component ◽  
Component Analysis ◽  
Real Estate Market ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Coordination Degree

Starting from six indicators like the ratio of the real estate investment growth and GDP growth etc., this article analyses the coordination degree of real estate investment and national economy with principal component analysis, and obtains the coordination index. Using 3σ method, the authors calculate the mean and standard deviation of the principal component indicator data, and then establish an early warning interval for real estate market . The results show that the real estate investment is a little excessive in recent years but the coordination degree between the real estate industry and the national economy is generally stable in China. Further investigations indicate that the change of the coordination index of the commercial housing sub-market is consistent with the whole commercial building market, but the one of the non-residential building is opposite to the total CB's.

Research on Supply and Demand of Xi'an Real Estate Market

2011 ◽  
Vol 368-373 ◽  
pp. 3078-3082
Author(s):  
Zhou Ji Meng ◽  
Tao Zhou ◽  
Shu Hua Gao
Keyword(s):  
Principal Component Analysis ◽  
Spectral Analysis ◽  
Real Estate ◽  
Spectral Density ◽  
Supply And Demand ◽  
Principal Component ◽  
Real Estate Market ◽  
Medium Term ◽  
Real Estate Price ◽  
Synthetic Indicators

In the passage, the indicators of supply and demand of real estate market in Xi'an are established, and such indicators are synthesized into a class of synthetic indicators using “principal component analysis”. After the spectral analysis of synthetic indicators, periodic change of supply and demand of real estate through spectral density could be determined. Through the analysis, great randomness existed in supply and demand of real estate in Xi’an. Furthermore, in the medium term, a 3.3 years’ secondary cycle still existed in synthetic indicators of demand, while randomness existed in synthetic indicators of supply. Such findings suggest a declined trend existed in real estate price in medium term of Xi’an.

scholarly journals Study on the Ability for Jilin Province of China to Undertake Outsourced International Service

2011 ◽  
Vol 2 (3) ◽  
pp. 86
Author(s):  
Liu Liqin
Keyword(s):  
Principal Component Analysis ◽  
Human Capital ◽  
Influencing Factors ◽  
Index System ◽  
Principal Component ◽  
Component Analysis ◽  
Jilin Province ◽  
Service Outsourcing ◽  
International Service

Technology, economy, human capital and policy are essential facilities of undertaking international service outsourcing for an area based on analyzing the influencing factors. With principal component analysis, this paper evaluates the ability to undertake international service outsourcing in Jilin Province of China with the purpose of constructing an index system. It shows that the ability in Jilin Province is weak. It is essential for Jilin province of China to improve the technology, to train and introduce talents, and to perfect the soft environment in order to further develop the ability to undertake international service outsourcing.

Research on Influencing Factors of Water Environment in the Typical Western of Taihu Lake Based on the Principal Component Analysis - A Case Study of Tianmuhu Lake and Gehu Lake in Jiangsu Province

2011 ◽  
Vol 356-360 ◽  
pp. 924-928 ◽  
Author(s):  
Chun Fen Zeng ◽  
La Chun Wang ◽  
Wen Yu Huang ◽  
Wei Wang
Keyword(s):  
Water Pollution ◽  
Principal Component Analysis ◽  
Influencing Factors ◽  
Taihu Lake ◽  
Water Environment ◽  
Principal Component ◽  
Component Analysis ◽  
P Element ◽  
Lake Basin ◽  
Water Control

Taihu Lake basin is a typical water shortage area for water quality problem in China. Studying the influencing water environment factors in this area provides a scientific basis to propose effective pollution water control. This article selects lakes in the western basin as the study area which has the largest contribution to the pollution in Taihu Lake. Influencing factors of water pollution of Tianmuhu Lake and Gehu Lake have been analyzed based on principal component analysis of SPSS, to study the major influencing factors of water environment. The results show that the major influencing factors of water environment in Taihu Lake is dissolved oxygen, water turbidity, and water N, P and other nutrient elements, and the water environment nutrients is much influenced by the N element. While the major influencing factors of water environment in Gehu Lake is P nutrition elements, physical and chemical factors and nutrients such as N and P element, and P elements are seriously polluted. Thus, the corresponding countermeasures should be forward according to different water characteristics during the process of water Pollution Control at the basin.

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