地理学报

Acta Geographica Sinica ›› 2006, Vol. 61 ›› Issue (6): 604-612.doi: 10.11821/xb200606004

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The Analysis of the Housing Price Gradient and Its Impact Factors of Shanghai City

SHI Yishao1, LI Muxiu2   

  1. 1. Department of Surveying and Land Information Engineering, Tongji University, Shanghai 200092, China;
    2. Institute of Economics and Management, Tongji University, Shanghai 200092, China
  • Received:2005-11-29 Revised:2006-03-11 Online:2006-06-25 Published:2006-06-25
  • Supported by:

    National Natural Science Foundation of China, No.40371034

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Abstract:

By selecting the South-North line from urban central district to Baoshan district of Shanghai, and collecting housing price data along the line where both the second-hand houses and newly developed houses are located inside the inner ring, between the inner ring and the middle ring, between the middle ring and the outer ring, outside the outer ring, the authors analyze the price gradients. It has been found that the prices of second-hand houses are generally higher than the prices of newly developed houses, but the former is faster than the latter in the speed of price decrease successively. Then according to the practical circumstances, seven influencing factors are selected such as flourishing degree, ratio between supply and demand, geographical location, traffic conditions, population situation, basic facilities and environmental quality are selected and by means of the multivariate linear regression method, the influencing factors of housing price gradients are discussed. Finally, the affected degree of factors is evaluated by applying partial relation coefficient analysis method and single factor weighted index method. The results show that the second-hand housing market differs obviously from the newly developed housing market. The ratio between supply and demand is the most important influencing factor on the second-hand housing prices while the environmental quality is the most important influencing factor on the prices of newly developed houses. However, the important effects of the flourishing degree and traffic conditions are not verified in the present study.

Key words: housing price, price gradient, influencing factors, multivariate linear regression analysis, weighted index, Shanghai city