| Since the reform of housing commercialization in 1998, China's real estate industry has entered a new era of rapid development. The added value of the real estate of the whole country accounts for nearly 5% of total GDP in 2008.And real estate becomes a leading industry which stimulates the sustained growth of the national economy. Moreover, the real estate industry runs through various fields, which is one of the industries owning the longest industry chain including production, circulation, distribution and consumption, involving machinery manufacturing, building materials, chemical industry, etc, as many as over 50 related industries. Obviously, real estate plays a significant role in the contributions and stimulation of the GDP. Therefore the fluctuation of the real estate market has a close relationship to the national economy and the people's livelihood, affecting almost all sectors of society. Furthermore, this industry receives too much attention from the government, the developers and the ordinary house buyers.Undoubtedly, it has become a hot spot of academic research in recent years.The results show that:from the aspect of age, the choices of house buying are different. Generally, the population of the young and middle-aged buyers gradually reduce from the center of the city to the surrounding parts, whereas the population of the old buyers steadily increase;Although Chinese buyers with different household registration attributes have distinct purchasing power, their spatial distributions tend to be similar; Chinese buyers have entirely different choices with foreign house-buyer. Most of foreign buyers, who have high purchasing power, tend to choose to live in the center of the town. However, for those people from East Asia or Southeast Asia, the cultural atmosphere of the communities plays a more essential role than house prices in the final decision-making of house-buying. Now geologists mainly concentrate on the urban residential differentiation and house prices have become primary factor when considering the reasons of this phenomenon. However, a number of social phenomena in recent years such as "school district houses, "Zhejiang village","villages in city","foreign communities", etc. brings new questions to the research of real estate. The social strata and communities have become one of the important dimensions of this residential differentiation. This paper analyzed the recent transactions of new houses by applying spatial statistical analysis in order to test if the house buyers with similar social attributes would gather in a certain range of geographical space and tried to find the behind reasons of this phenomenon. Limited by data availability, this paper only explored social attributes including age, household registration and nationality.In carrying out the above analysis, this paper uses the following two methods of spatial statistical analysis:the first step analyzed these social attributes with EDA, which was used to obtain the knowledge about the general characteristics of the data distribution. In the second step, the differences of house purchasing behavior resulting from the differentiation of residents'social attributes were analyzed by applying correlation analysis and spatial autocorrelation analysis, including the differentiation of spatial distributions of house buyers with various social attributes and the explanations for why these differences occurred by the case study of some typical real estate plates. |
