Study On The Regional Difference Of Economic Development Level And Housing Price In Wuhan

In nearly a decade, with the continuous development of economy and society, and in Wuhan urban spatial pattern and the property distribution pattern changes with each passing day, the regional distribution of urban property prices is of great significance.First of all, as the central plains hinterland, Wuhan link the surrounding areas , it has very strong capacity of absorb the population, housing price is an important problem for people who live here; Second, for now, Wuhan is an important growth pole to promote the central region, in the long run, it has the potential to build a modern international city.Therefore, the study of the factors affecting housing prices, and guide the healthy pattern of real estate is conducive to the rapid growth of urban economy.This paper studies the distribution patterns of house prices in Wuhan and its influencing factors, including current situation analysis and empirical test. In the analysis of the current situation, first of all, the article analyzes the development of Wuhan's economy and housing prices in the past ten years, and analyzes the economic and price distribution pattern in 2014. Secondly, the paper analyzes the regional economic and housing price changes in Wuhan in recent ten years by using the coefficient of variation and Nich, and studies the difference between each region and the whole region in the past ten years. Thirdly, this paper introduces the regional economic and housing price data into Arcgis10.2, analyzes its spatial distribution characteristics, and finds that the regional economic development level and price distribution pattern in Wuhan have certain coincidence. Finally, this paper analyzes the mechanism of regional economic development and housing prices, it is considered that the level of regional economic development mainly from two aspects of industrial structure and transportation network to affect housing prices. In the empirical test plate, this paper constructs the fixed effects,the random effects and sys - GMM model, testing level of economic development's influence on prices. Regression results show that the level of economic development has a significant role in promoting housing prices. In the return of the 13 regions, the level of economic development increased by 1%, making house prices rose by 0.264%. In addition, land prices and per capita disposable income will increase prices. Analysis the data of the central city and the outer suburbs, the level of economic development also has a significant role in promoting housing price. The last part of this paper gives the conclusions and recommendations, including policy recommendations and suggestions for buyers, developers.