Abstract :
At present, because of different environment among cities, enhance liquidity of the labor force between different cities. At the same times, housing price is the main expense of resident flowing between cities, which stands for the willingness to pay for the urban environment. Through the demonstration of 35 major cities in this research, it shows that the urban environment dominates the urban housing price in China´s, especially in urban housing market. The better urban area position, with the better environment of economic, market, social service and infrastructures, will cause the higher housing price. This reveals that there are some influence factors, such as convenience level, income level, and job opportunities etc, which depend how much the resident want to pay.
Keywords :
labour resources; pricing; real estate data processing; China; economic; hedonic analyze; income level; job opportunity; labor force; market; real estate price; social service; Biological system modeling; Cities and towns; Economics; Employment; Equations; Security; Urban areas; city property prices component; hedonic analyze; urban environment;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on