基于ECM模型的商品房价格波动影响因素分析——以长沙市为例

Liping Chen
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摘要

本文以长沙市房地产市场数据为基础,构建了长沙市商品住宅价格波动的长期均衡模型和短期误差修正模型。研究表明,长期来看,GDP、城镇化率、人均储蓄和住房竣工面积是影响长沙市商品住宅价格波动的主要因素,而住房投资总额、住房销售面积和人均居住面积等因素的影响有限。从短期来看,长沙房价波动没有自我修正的能力,整个市场正在形成房地产泡沫。
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Analysis on Influencing Factors on the Fluctuation of Commercial Housing Prices Based on ECM Model: Taking Changsha as an Example
Based on the data from Changsha real estate market, this study builds a long-term equilibrium model and a short-term error correction model on the fluctuation of Changsha commercial housing prices. It shows that, GDP, urbanization rate, per capita saving and completed area of housing are the main factors on the fluctuation of Changsha commercial housing prices in the long term, while the influence from the factors of total housing investment, sold area of housing and per capita living area are limited. In short term, the fluctuation of Changsha housing prices has no ability of self-revising, and a real estate bubble is building in the whole market.
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