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住房价格波动对自有住房家庭消费的区域异质性影响研究

发布时间:2018-02-14 11:10

  本文关键词: 自有住房家庭 异质性 QUAIDS模型 福利 出处:《数理统计与管理》2017年03期  论文类型:期刊论文


【摘要】:为了解决八大类消费品价格数据不易得到的难题,本文构建投入产出价格模型,分别经验研究25个省(自治区和直辖市)住房价格同时变动不同幅度对八大类消费品价格的影响。25个省(自治区和直辖市)消费品价格变动幅度结果即为QUAIDS模型中的消费品价格变量。然后,本文采用CFPS2010数据,在QUAIDS模型中加入反映家庭所在地区的人口特征变量,研究住房价格波动对自有住房家庭消费的区域异质性影响。研究结果表明住房价格波动对自有住房家庭生存型消费需求区域异质性影响的财富效应显著,而对享受型和发展型消费需求区域异质性影响的挤出效应显著。在此基础上,本文进一步运用补偿变动研究住房价格波动对自有住房家庭福利的区域异质性影响。研究结果表明为了提高自有住房家庭的生活质量和促进社会的和谐稳定,政府应该把稳定东部地区住房价格放在首位。且当遇到如何优化家庭消费结构问题时,政府应该根据地区差异划分市场。
[Abstract]:In order to solve the problem that the price data of eight categories of consumer goods are difficult to obtain, this paper constructs an input-output price model. The effects of different ranges of housing prices in 25 provinces (autonomous regions and municipalities directly under the Central Government) on the prices of eight categories of consumer goods were studied empirically. The results of the price changes of consumer goods in 25 provinces (autonomous regions and municipalities directly under the Central Government) are called QUAIDS model. Then, In this paper, the CFPS2010 data are used to add the population characteristic variables to the QUAIDS model, which reflect the region where the family is located. The results show that the impact of housing price fluctuation on the regional heterogeneity of residential household subsistence consumption demand is significant. However, the extrusion effect on the regional heterogeneity of consumption demand of enjoyment type and development type is significant. This paper further studies the regional heterogeneity effect of housing price fluctuation on the welfare of owner-housing families by means of compensation changes. The results show that in order to improve the quality of life of owner-housing families and promote social harmony and stability, The government should give priority to stabilizing housing prices in the east, and when faced with the problem of how to optimize household consumption structure, the government should divide the market according to regional differences.
【作者单位】: 复旦大学公共管理与公共政策研究国家哲学社会科学创新基地;江西财经大学统计学院;
【基金】:福建省社会科学规划项目青年博士论文项目(FJ2015C234)
【分类号】:F126.1;F299.23

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