城市创新性特质对房价分化影响的实证研究  

An Empirical Study on the Impact of Urban Innovation on Housing Price Differentiation

作　　者：张所地[1] 程小燕[1] ZHANG Suo-di;CHENG Xiao-yan(Management Engineering Research Center,Shanxi University of Finance and Economics,Shanxi Taiyuan 030006,China)

机构地区：[1]山西财经大学管理工程研究中心,山西太原030006

出　　处：《数理统计与管理》2019年第1期105-114,共10页Journal of Applied Statistics and Management

基　　金：国家自然科学基金(70973072);教育部人文社科青年基金(15YJC630187;12YJCZH098);山西省哲学规划办;山西省社会科学界联合会重点(SSKLZDKT2016118)

摘　　要：楼市"去库存",任重而道远,房地产市场荣衰分化严重,根本之源为何,值得深究。本文从城市创新性特质的内涵出发,分析城市创新性的特征体系,构建中国35个大中城市的商品住宅价格和土地价格的非线性实证模型,利用数据驱动的思想,由实例数据出发建立半参数模型及广义矩估计(GMM)的方法建立线性和非线性结构中参数的相合估计,合理诠释城市创新性特质对房地产价的非线性影响机理。研究表明:城市的创新性特征对于房地产市场具有更为突出的正相关作用,溢出效应显著,是引致中国房价分化的内爆力。The real estate market is very weak and differentiated and there is a long way to go to deal with the housing stock. Starting from the connotation of urban innovation, the paper has analyzed the features of urban innovation system and built the nonlinear empirical model of the commodity residential house price and land price in China’s 35 large and medium cities. With the ideas of data driven, semiparametric model is established based on the case data. The method of generalized moment estimation(GMM) is adopted to establish the consistent estimates of parameters in the linear and nonlinear structure, which has reasonably explained the nonlinear influence mechanism of urban innovative characteristics on the real estate price. The research shows that the urban innovative features have a positive correlation to the real estate market, and the spillover effect is significant, which is the internal explosive force that leads to the differentiation of house prices in China.

关 键 词：城市特质 房价分化 半参数模型 广义矩估计 

分 类 号：F293.3[经济管理—国民经济] O212[理学—概率论与数理统计]