基于空间计量模型研究北京市各区房价  

Research on the Housing Prices in Beijing Based ON Spatial Econometric Model

作　　者：曹文彦 乔舰[1] 

机构地区：[1]中国矿业大学(北京)理学院统计学系,北京

出　　处：《统计学与应用》2023年第4期1034-1043,共10页Statistical and Application

摘　　要：随着社会经济的发展,我国各地区联系更加紧密,并且出现了明显的地区分化态势。地区间各因素的溢出效应使得房价不仅受该地区各种因素影响,而且还受周边地区因素影响。该研究首先以北京市16个区县2021年房价均值为因变量,遴选三个自变量,构造空间计量模型,对影响房价的因素进行了定量分析研究。为更好地反映房价实际情况,拓展时间长度,引入空间面板模型,结果显示,北京市不同区县的房价存在显著的空间效应;北京高房价区县集中分布于市中心;房价均值与人口密度呈现正相关性;2015~2021年北京市各区县房价均值在各年份之间基本稳定。With the development of society and economy, various regions in our country are more closely connected, and there is an obvious trend of regional differentiation. The spillover effect of various factors between regions makes the housing price affected not only by various factors in the region, but also by factors in the surrounding area. In this study, the average price of 16 districts and counties in Beijing in 2021 was selected as the dependent variable, three independent variables were selected, and a spatial econometric model was constructed to conduct a quantitative analysis and research on the factors affecting the housing price. In order to better reflect the real situation of housing prices and expand the time, the spatial panel model is introduced. The results show that the housing prices of different districts and counties in Beijing have significant spatial effects. Beijing has high housing price districts and counties concentrated in the city center. There is a positive correlation between average housing price and population density. The average housing price of districts and counties in Beijing was basically stable from 2015 to 2021.

关 键 词：房价 空间计量模型 空间效应 空间面板模型 

分 类 号：F29[经济管理—国民经济]