【摘要】 文章用计量模型对上海零售地产的空间价值进行了估计,用MORAN的统计方法检测空间自相关问题,并进行了均方根误差(均方根)测试,以找出最佳模型。得出结论:重要的内生变量是地产的租用年限、零售空间的面积、到达商务中心的距离、零售的种类以及不动产的区域。在本文中将会有一个新的零售研究背景的区域分类方法。本研究有助于零售物业的投资者和零售租户加深他们对于上海零售市场的理解,同时使用了空间经济计量技术,以求达到更精确计量效果。更多还原

【Abstract】 This paper uses econometric model to estimate the retail real estate space values of Shanghai,and uses MORAN statistical approach to detect the spatial autocorrelation problem.Then it makes a root Mean Square Error(RMS) test in order to find out the best model.The result shows that the important endogenous variable is the leased years of real estate,retail space area,the distance to business center typts of retuil,the area of retail space.The study contributes to retail investors and re tail tenants to deepen their understanding of the retail market in Shanghai.And it uses the spatial econometric techniques in or der to achieve a more accurate measurement results.更多还原