Based On Nonparametric Additive Models Prices Influence Factors Analysis

The real estate industry is the pillar industry of China’s economy, the development of the real estate industry, the housing level of prices is directly and closely related to people’s living standards. In order to make the real estate industry better and healthier, our government takes various means to control the housing prices, making the major cities housing prices contained.This paper analyzes the factors that affect the price of commercial housing, and uses the non-parametric additive models to analysis the commercial housing prices and their impact factors. Tried to find the main factors through a mathematical model and try to analyze the impact of the property tax levy on the price of commercial housing, finally display the corresponding policy advice.The conclusions of this paper are as follows:the main factors that affecting the price of commercial housing is the first-order lag of per capita disposable income of urban residents, the fifth-order lag of real estate’s investment, the fourth-order lag land price, the third-order lag of the level of interest rates. Per capita disposable income of urban residents and the housing price has an obvious linear relationship. The investment in real estate development of commercial housing prices have both positive and negative, with the increase the investment in real estate, commercial housing prices increases at first, the commercial housing prices decline, when the investment reached a certain level. When investment exceeds a reasonable level, more investment will make the commercial housing prices to rise further. The land price of commercial housing prices also have both positive and negative effect, so that there is a reasonable land price to make commercial housing price be the lowest. Significant negative correlation between the level of interest rates and the price of commercial housing exists, as interest rates rise, real estate prices will decline accordingly. Property tax will make commercial housing prices to drop accordingly.