Scale Of Demand For Urban Housing Market And Demand Structure

Residential market is a major part of market economy, which is plays an important role in the economy. Hence it is important to establish scientific prediction model to forecast the needs, supply, find out problem existed and the factors to formulate reasonable expectation of future residential market. This will contribute to the government policy making and economic development as well as benefit the holistic economic development and stable development of realty industry.The paper will refer and apply theory of China and other countries to explore residential market of Kunming by using qualitative research methods to forecast the demanding for residential market of Kunming in ten years. Based on the prediction, the author will compare two possible residential demanding from 2006 to 2015 predicted by whether taking the six Measures issued by the State Council into consideration Finally the author will suggest to decision makers about the current residential market situation and its orientation.Through the research, the author discovered various prediction methods and diverse factors influence residential demanding. The residential demanding of Kunming is relevant to individual GDP, net income per capita, price of residence, bank interests, average residential expenditure, Engelian coefficient, population, family scale, metropolitan rate and average residence area. Amongst which, it is contrarily related to bank interests and Engelian coefficient. Kunming residential demanding scale formula is HD = f (HP·AG·AI·AC·AS·R·P·N·E·C) . The paper utilize this formula to predict demanding for residence of Kunming.