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基于K均值聚类分析法的城市房地产投资风险研究

发布时间:2018-11-27 07:27
【摘要】:为促进分类调控政策和土地供应计划的有效实施施,将房地产投资风险类型分为需求风险、供给风险、供需风险和房价偏离风险四种类型型,并依此构建评价指标体系,采用K均值聚类分析法对20个重点城市进行风险分类。研究结果表明,由于城市的基本面不同,风险类型也不同,采取的应对措施应有所差异。对于供给类风险型城市型城市,政府应通过控制土地供应节奏、调整住房供应结构加以防范;对于需求类和供需类风险型城市型城市,政府应采取优化产业结构、强化人口导入以促进住房消费需求;对于房价偏离风险型城市型城市,政府应采取市场化的调控手段段,促进房促进房价回归合理水平平。
[Abstract]:In order to promote the effective implementation of classified control policy and land supply plan, the risk types of real estate investment are divided into four types: demand risk, supply and demand risk and house price deviation risk. K-means clustering analysis was used to classify the risk of 20 key cities. The results show that the countermeasures should be different because of the different fundamentals and different risk types. For the supply type risk cities, the government should control the rhythm of land supply and adjust the housing supply structure to prevent it. For the risk cities of demand and supply, the government should optimize the industrial structure, strengthen the introduction of population to promote housing consumption demand; For the housing price deviation from the risk cities, the government should adopt market-oriented regulation and control measures to promote the return of housing prices to a reasonable level.
【作者单位】: 长春工业大学人文信息学院;
【基金】:吉林省教育厅科研项目“吉林省保障性住房准入与退出机制研究”(批准号批准号:吉教科文合[2014]等523号)
【分类号】:F299.23;F224

【参考文献】

相关期刊论文 前5条

1 柯小玲;诸克军;刁凤琴;;房地产投资风险模糊综合评价改进模型[J];改革与战略;2010年04期

2 卢新海;桂婷婷;万凯;;基于主成分分析的区域房地产投资环境评价研究——以武汉城市圈为例[J];中国房地产;2013年02期

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