中文摘要：

运用空间计量分析技术，以城市宜居性特征体系的27个指标为解释变量，以商品住宅销售价格为被解释变量，通过构建中国35个大中城市的静态和动态空间面板模型，考察了城市宜居性特征对商品住宅价格的影响，探索城市间房价差异的原因。研究表明，静态和动态模型均显示商品住宅价格存在着显著的正向空间相关性，且这种相关性呈现逐渐增强的态势，但静态模型对空间相关性产生过高估计的偏误，动态空间滞后面板模型由于分离了人们的预期对商品住宅价格的影响，使得空间相关性对房价的影响偏误得以部分矫正；城市的经济环境质量、生态环境质量、自然区位条件和基础设施状况等宜居性特征是形成城市间商品住宅价格差异的主要因素，尤其是文化、交通、通讯设施的完善程度和便利程度对商品住宅价格的影响更为明显。但是，人均GDP、每万人中小学校数、固定电话用户普及率、城镇生活污水处理率、空气质量优良率五个指标对城市商品住宅价格的影响表现为负向关系。

英文摘要：

This paper examines the effect of urban amenities on commercial housing price by constructing spatial static panel model and spatial dynamic panel model for thizty-five large and medium scale cities of China. The results show that： First, the spatial correlation of commercial housing price between different cities is significant positive, and gradually be enhanced. Second, spatial dynamic panel model makes estimate bias of the effect of spatial correlation on commercial housing price be reduced by separating the effect of peoples＇ expectation on commercial housing price. Third, some urban amenities, such as economy environment, ecological environment, natural location and infrastructure, are main reasons which cause the significant difference of commercial housing price between different cities, and five factors among them have negative effect on commercial housing price.