The Analysis of the Housing Price Gradient and Its Impact Factors of Shanghai City
Received date: 2005-11-29
Revised date: 2006-03-11
Online published: 2006-06-25
Supported by
National Natural Science Foundation of China, No.40371034
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.
SHI Yishao, LI Muxiu . The Analysis of the Housing Price Gradient and Its Impact Factors of Shanghai City[J]. Acta Geographica Sinica, 2006 , 61(6) : 604 -612 . DOI: 10.11821/xb200606004
[1] Dong Suocheng. The Theory of Regional Economy Movement. Beijing: Science Press, 1994.
[董锁成. 经济地域运动论. 北京: 科学出版社, 1994.]
[2] Li Xiaojian (ed.). Economic Geography. Beijing: Higher Education Press, 1999.
[李小建 主编. 经济地理学. 北京: 高等教育出版社, 1999.]
[3] Rosenthal S S, Helsley R W. Redevelopment and the urban land price gradient. Journal of Urban Economics, 1994, 35 (2): 182-200.
[4] Anas A, Kim I. Income distribution and the residential density gradient. Journal of Urban Economics, 1992, 31(2): 164-179.
[5] Benjamin J D, Boyle G W, Sirmans C F. Price discrimination in shopping center leases. Journal of Urban Economics, 1992, 32(3): 299-317.
[6] Sivitanidou R. Urban spatial variations in office-commercial rents: the role of spatial amenities and commercial zoning. Journal of Urban Economics, 1995, 38(1): 23-48.
[7] Webb R B, Fisher J D. Development of an effective rent (lease) index for the Chicago CBD. Journal of Urban Economics, 1996, 39(1): 1-19.
[8] Barry M, Dalton T. Housing prices and policy dilemmas: a peculiarly Australian problems? Urban Policy and Research, 2004, 22(1): 69-71.
[9] Fan Shaoyan, Liu Jianhua. A primary approach to the influence of urban spatial constructure on the price of real estates in Shenzhen city. City Planning Review, 1995, (4): 22-24.
[范少言, 刘建华. 深圳城市空间结构对房地产价格影响的初探. 城市规划, 1995, (4): 22-24.]
[10] Shan Weidong, Zhou Jinsong. The relationship of land prices among cities: theory and application. China Land Science, 1996, 10(2): 25-27.
[单卫东, 周劲松. 城市间地价水平的关系: 理论应用的探讨. 中国土地科学, 1996, 10(2): 25-27.]
[11] Hall T. Urban Geography. New York: Routledge, 1998.
[12] Chen Shunqing. Urban Growth and Land Appreciation. Beijing: Science Press, 2000.
[陈顺清. 城市增长与土地增值. 北京: 科学出版社, 2000.]
[13] Fulton W, Williamson C, Mallory K et al. Smart growth in action: Housing capacity and development in Ventura County. Policy Study No. 288, Reason Foundation, Los Angeles, 2001.
[14] Fulton W, Weaver S, Segal G F et al. Smart growth in action (Part 2): case studies in housing capacity and development from Ventura County, California. Policy Study No. 311, Reason Foundation, Los Angeles, 2003.
[15] Tsatsaronis K, Zhu H. What drives housing price dynamics: cross-country evidence. BIS Quarterly Review (March), 2004. 65-78.
[16] Talen E. Land use zoning and human diversity: exploring the connection. Journal of Urban Planning and Development, 2005, 131(4): 214-232.
[17] Shanghai Bureau of Statistics. Shanghai Board of Management of Housings and Land Resources. Shanghai Real Estates Market. Beijing: China Statistics Press, 1996-2005.
[上海市统计局, 上海市房屋土地资源管理局. 上海市房地产市场. 北京: 中国统计出版社, 1996-2005.]
[18] The Editorial Board of Shanghai Building Market. Shanghai Building Market. July, 2005.
[上海楼市编委会. 上海楼市. 2005-07.]
[19] Xu Jianhua. Mathematical Methods in Contemporary Geography. Beijing: Higher Education Press, 2002.
[徐建华. 现代地理学中的数学方法. 北京: 高等教育出版社, 2002.]
[20] Xue Wei. Statistical Analysis Method and Application for SPSS. Beijing: Publishing House of Electronics Industry, 2004.
[薛薇. SPSS统计分析方法及应用. 北京: 电子工业出版社, 2004.]
[21] Archer W R, Gatzlaff D H, Ling D C. Measuring the importance of location in house price appreciation. Journal of Urban Economics, 1996, 40(3): 334-353.
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