Influence Factors of Chinese Real Estate

Abstract

This paper studied that the factors influencing Chinese real estate price. And that the land prices, the macroeconomic situation, the annual income of the households, the process of urbanization, the credit policy, the psychological expectations of consumers, the market investment or speculation, the governments regulation policy etc, Are all the influence factors of real estate prices. And the analysis results to develop appropriate policy recommendations for the healthy and sustainable development of the real estate market.

What Motivates Speculators to Speculate?

“…According to Gemeda, et al [ 12 ], Shashemene’s much-acclaimed deficit of over 1000 housing units is projected to intensify the need for urgent land acquisition and growth to meet the current deficit. Nevertheless, some researchers (e.g., Golland and Boelhouwer [ 13 ] and Wang and Hua [ 14 ]) proclaim that developers’ land acquisition is not a specific response to demand; rather, developers take advantage of the general level of housing market activity and, in particular, “data signals” [ 13 ]. The State’s position in controlling land acquisition appears to affect the motivation of acquisitions by speculators, either due to the fact that land can provide a source of profit through land banking or land trading or as a development factor.…”

Cause Analysis on the Cracks in Concrete Plate of Canal Lining

“…Assuming that the elastic modulus of concrete is 20GPa, and the maximum inflation rate of foundation soil is 0.03 [7] in the calculation. Deformation of the lining plate is shown in figure 8, we can see that the expansion of foundation soil has a great influence on the stress of lining plate.…”

The Establishment of the Real Estate Price Prediction Model Based on the Grey-Markov Chain: A Case Study of Qingdao City

“…, suppose that the forecast target is at state i ⊗ , then view the kth line of the matrix p (1) , if max p (1) kj = p ( 1) kl , then we could conclude that the system of the next moment has the biggest possibility to transfer from i ⊗ to j ⊗ . If two or more possibilities in the kth line of p (1) are same, the future trend of the state could be defined. At this time,we should view the second step p (2) or more ( ) m p (m ≥3) of the transition possibility matrix.…”

“…Test of the accuracy of the model (1) Residule and the relative error are q (0) ( k) = x (0) (k) -x (0) ( k + 1),ε( k) = q (0) ( k) / x (0) ( k), where x (0) (k)is the predicted value of the initial data, q (0) (k)is the residule, ε( k)is the relative error.…”