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Grey Relevance Analysis of Real Estate Prices Influencing Factors: Taking Changsha as an Example

机译:房地产价格影响因素的灰色关联度分析-以长沙市为例

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The thesis uses grey relevance theory to analyze the relations between Changsha's Real estate prices and its influencing factors. The result of the analysis proves that the sequence of the factors influencing real estate prices is urbanization level', 'residents ' per capita income', 'annual average lending rates', 'M2', 'exchange rate', 'inflation rate', 'housing supply. Rising real estate prices is a medium-to long-term trend. Short-term fluctuations in real estate prices more are caused by external factors that affect housing prices. Effect of scientific and reasonable regulation of real estate policy Should be Coordinate between rising real estate prices, the improvement of China's urbanization rate and increase in the incomes of the people, reduce impact on the national economy and people's lives as real estate prices of short-term volatility.
机译:本文运用灰色关联理论分析了长沙市房地产价格及其影响因素之间的关系。分析结果表明,影响房地产价格的因素依次为城市化水平,居民人均收入,年平均贷款利率,M2,汇率,通货膨胀率,住房供应。房地产价格上涨是中长期趋势。房地产价格的短期波动更多是由影响房价的外部因素引起的。科学合理地调控房地产政策的效果应在房地产价格上涨,中国城市化率的提高和人民收入的增加之间进行协调,减少房地产价格的短期下跌对国民经济和人民生活的影响。期限波动。

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