[摘　要]　房屋位置是决定房价的关键因素，但其影响力究竟有多大却难有定论。搜集北京市2007年7月至2008年1月的18111笔存量房交易记录，建立多元线性回归模型，选择房屋位置信息、房屋自身建筑信息和交通通达度信息三类变量作为模型的自变量，通过对该模型进行回归分析，发现房屋位置对北京存量房价格的解释力度达到51.3％。

[关键词]　房价,价格梯度,存量房,位置,北京

Abstract: Housing location is the key component in determining the housing price, but it is difficult to ensure the influence degree. In this study, 18111 transaction records of repeat-sale house from July 2007 to January 2008 of Beijing are collected, the Ordinary Least Squares（OLS） model is applied to estimate the effects of three categories of independent variables, which include housing location category, property category and transportation accessibility category. It is found that spatial component can explain more than half of the housing price.

Key words: housing price; price gradient; repeat-sale house; location; Beijing

[参考文献]

[1]Geltner D. M.， et al. Commercial real estate analysis and investments[M]. Cincinnati: South-Western College Publishing Co.， 2001.

[2]Atack J.， Margo R. A. “Location， Location， Location!” The price gradient for vacant urban land: New York， 1835 to 1900[J]. Journal of Real Estate Finance and Economics，1998，16（2）:151-172.

[3]Sirmans G. S.， et al. The composition of hedonic pricing models[J]. Journal of Real Estate Literature，2005， 13（1）: 1-44.

[4]Lin T.， et al. The relationship between the price of land and size of plot when plots are small[J]. Land Economics， 2000， 76（3）: 386-394.

[5]Zheng S. Q.， et al. Land and residential property markets in a booming economy: new evidence from Beijing [J]. Journal of Urban Economics，2008，63（2），743-757.

[6]石忆邵，李木秀．上海市住房价格梯度及其影响因素分析[J].地理学报，2006，61（6）:604-612.

[7]李文斌，杨春志.住房价格指数以及区位对住房价格的影响——北京市住房价格实证分析[J].城市问题，2007， 145（8）:26-31.

[8]何剑华，郑思齐.新建地铁能提升住宅价格吗？——以北京地铁13号线为例[J].城市开发，2004（11）:36-38.

建筑经济，2010（1）：69-72