借助Hedonic住房价格分析所得到的居民对各类公共服务的偏好参数,该文提出了构建公共服务综合质量指数的方法,并将其应用于北京市公共服务的供需匹配分析。首先利用潜能模型量化分析北京市3类典型公共服务设施的空间分布情况,得出分项公共服务质量指数。其次,基于2010年城市家庭调查的北京市大样本数据的家庭及其住房价格信息,定量测算了居民对各类公共服务设施的偏好。最后,构建北京市公共服务综合质量指数,并将该指数与常住人口密度加以对比,分析了北京市主城区129个街道层面的公共服务供需匹配程度。研究发现北京市外围区域、南城和常住人口密集的街道存在着较为严重的公共服务供给不足问题。在南城52个街道中, 87%(45个)的供需匹配指数低于全市平均水平(9.05); 在人口最为密集的17个街道(常住人口密度大于30 000人/km²)中,仅有5个的供需匹配指数高于全市的平均水平。

On the basis of the estimated urban residents' preference parameters for different urban public services from Hedonic housing price analysis, a construction method for public service quality integrated index was proposed and applied to supply-demand matching analysis of public services in Beijing. Single indexes of three typical urban public services were measured using the potential model, with estimated parameters of urban residents' preferences then obtained based on a large sample of households and their housing price information from 2010 Beijing Urban Household Survey. An integrated quality index of Beijing public services was constructed and compared with resident population density, focusing on the supply and demand matching analysis for 129 streets in downtown Beijing. The results show that the outside region, south area and streets with dense population of Beijing are suffering from serious problem of inadequate supply of public services. The supply-demand matching indices of 87% streets in the south area (45 out of 52) are lower than the average (9.05), and only 5 streets out of the most densely populated 17 streets (more than 30 000 people/km²) have larger matching indices than the average.