城市创新效率测度及其对房价分化影响的实证研究  

The Measurement of Urban Innovation Efficiency and Its Impact on the Differentiation of Housing Prices

作　　者：范新英[1] 张所地[2] 

机构地区：[1]山西财经大学统计学院,山西太原030006 [2]山西财经大学管理科学与工程学院,山西太原030006

出　　处：《数理统计与管理》2018年第1期135-145,共11页Journal of Applied Statistics and Management

基　　金：教育部人文社科基金项目(15YJC630817);山西省软科学研究项目(2016041026-1);山西财经大学青年基金项目(QN-2016002)

摘　　要：随着中国经济步入减速换挡、提质增效的新阶段,房地产市场也开始呈现新常态,城市房价分化特征愈加明显,与此同时通过测算发现城市之间创新产出的不均衡程度比创新投入不均衡程度更强。基于此,本文在探讨城市创新效率对房价影响的作用机理基础上,借助FP指数测度中国35个大中城市历年创新效率,将城市创新效率引入房价均衡模型,并使用面板门限回归方法分析了城市创新效率对房价的非线性作用机理。结果表明城市创新效率对房价具有溢出效应,并且是引起中国城市房价分化的重要原因。最后根据实证分析结论提出了创新环境构建、产业优化布局、房地产“因城施策”等才面的政策建议。As China＇s economy goes into a new stage which is more slowing and efficient, the real estate market begins to present a new normal state that urban housing prices are becoming more and more different. At the same time we find that the degrees of innovation output are more imbalance than the innovation input. Using FP index it measures the innovation efficiency of past years of 35 large and medium cities in China, and it analyzes the nonlinear mechanism of the urban innovation efficiency on the housing prices by the panel threshold regression method. The results show that the spill-over effects exist and urban innovation efficiency is one of the important reasons leading to the differences of China＇s urban housing prices. According to the empirical conclusions it puts forward some suggestions about innovation elements concentration, industrial optimization layout, different real estate policy, and so no.

关 键 词：房价 创新效率 FP指数 

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