房价波动影响居民消费的实证分析——以合肥市为例  

Empirical Analysis of the Impacting of Hous-ing Price Fluctuations on Residents’ Con-sumption—Taking Hefei City as an Example

作　　者：罗效鹏 黄冰冰 李承凤 匡晨阳 盛博 

机构地区：[1]巢湖学院数学与大数据学院,安徽 合肥

出　　处：《应用数学进展》2023年第3期1361-1366,共6页Advances in Applied Mathematics

摘　　要：当今时代,随着我国经济迅猛发展,人民生活水平和物质条件得到极大改善。1998年住房体制的改革带动了房地产市场从衰败逐渐走向崛起,从而导致房价进入持续上涨阶段。此外,新型城镇进程的推进很大程度上提高了居民的消费水平。2023年,被疫情影响两年的经济即将恢复。因此研究房价波动对居民消费的影响,可以为政府的宏观调控政策提供科学的理论指导,从而促进疫情后房地产行业平稳、健康的发展。本文研究房价波动对居民消费的传导机制,通过借鉴合肥市统计局最新数据,即运用合肥市2011~2021年住宅商品房平均售价、居民人均消费支出等数据,经过Eviews8.0软件的一系列检验,再构建多元线性回归模型进行实证分析。证毕后根据所构建模型,提出一些政策性建议。Nowadays, with the rapid development of China’s economy, people’s living standards and material conditions have been greatly improved. In 1998, the reform of the housing system led the real es-tate market from decline to rise, which led to the continuous rise of housing prices. In addition, the promotion of the new urban process has greatly improved the consumption level of residents. In 2023, the economy, which has been affected by the epidemic for two years, is about to recover. Therefore, studying the impact of housing price fluctuations on residents’ consumption can provide scientific theoretical guidance for the government’s macro-control policies, so as to promote the stable and healthy development of the real estate industry after the epidemic. This paper studies the transmission mechanism of housing price fluctuation to residents’ consumption. By drawing on the latest data of Hefei Bureau of Statistics, that is, using the data of average selling price of residen-tial commercial housing of Hefei from 2011~2021, after a series of tests of Eviews8.0 software, the multiple linear regression model is constructed for empirical analysis. After the certificate, accord-ing to the constructed model, we put forward some policy suggestions.

关 键 词：房价 EVIEWS软件 多重共线性检验 

分 类 号：F29[经济管理—国民经济]