Abstract：Land price is the capitalization of land rent， which is the purchase price of land right and its expected income. It is the important information and value judgment standard of land market operation. Land price index， as the quantification of land prices， reflects the trend and extent of variation on land price in a certain area， which has important research value. In view of the defects in existed studies， including the lack of thorough indicators， specific mechanism and well-established models， this paper introduces the concept of “supply and demand” in economics into the geographical study. Based on principal component analysis and smooth cointegration analysis， a multivariate covariant lagged regression model is established， and the impacting factors as well as lags of land price are analyzed in different levels， different regions and different land types. The land price of Beijing and Tianjin is mainly affected by social economic factors， land supply and demand. The land price is influenced more by historical data than by factors. The research methods and results of this paper may contribute to the study of land price， as well as public decision-making.
张 若 竹. 基于多元协整滞后回归模型的京津冀地价影响因素研究[J]. 华中师范大学学报(自然科学版), 2017, 51(5): 607-614.
ZHANG Ruozhu. Study on the factors affecting the land price of Beijing， Tianjin and Hebei based on the multivariate cointegration lag regression model. journal1, 2017, 51(5): 607-614.
2017, Vol. 51 
