Empirical Analysis on the Factors of Housing Investment Fluctuation in China

Yunfang Liang, B. Jia
{"title":"Empirical Analysis on the Factors of Housing Investment Fluctuation in China","authors":"Yunfang Liang, B. Jia","doi":"10.1109/CSO.2011.126","DOIUrl":null,"url":null,"abstract":"In order to study the causes of Chinese housing investment fluctuation in, recent years, this paper explores the housing investment model based on the theory of neoclassic economics, which shows that housing investment is related to the expectations on housing price, investment, production level and cost elements. Furthermore, this paper analyzes the factors that affect housing investment fluctuation in China, using three different estimation methods (i.e. least square method (OLS), two-stage least square method (2SLS) and generalized method of moments (GMM)). The results are as follows: (1) The elasticity of housing price is greater than that of costs which demonstrate housing investment is overheated in China partially because of large profitable space in real estate market. (2) The impact of land space developed on housing investment is positive this year which illustrates that income effect is greater than cost effect. (3) Real interest rate has a great impact on it, therefore, it is proved that it is effective for the government to control real estate market by means of monetary policy on the increase of interest rate. Furthermore, we draw a conclusion that a series of policies will effectively control the growth rate of housing investment and restrain real estate overheated investment.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2011.126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to study the causes of Chinese housing investment fluctuation in, recent years, this paper explores the housing investment model based on the theory of neoclassic economics, which shows that housing investment is related to the expectations on housing price, investment, production level and cost elements. Furthermore, this paper analyzes the factors that affect housing investment fluctuation in China, using three different estimation methods (i.e. least square method (OLS), two-stage least square method (2SLS) and generalized method of moments (GMM)). The results are as follows: (1) The elasticity of housing price is greater than that of costs which demonstrate housing investment is overheated in China partially because of large profitable space in real estate market. (2) The impact of land space developed on housing investment is positive this year which illustrates that income effect is greater than cost effect. (3) Real interest rate has a great impact on it, therefore, it is proved that it is effective for the government to control real estate market by means of monetary policy on the increase of interest rate. Furthermore, we draw a conclusion that a series of policies will effectively control the growth rate of housing investment and restrain real estate overheated investment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国住房投资波动因素的实证分析
为了研究近年来我国住房投资波动的原因,本文基于新古典经济学理论对住房投资模型进行了探索,发现住房投资与人们对房价、投资、生产水平和成本等因素的预期有关。在此基础上,本文采用最小二乘法(OLS)、两阶段最小二乘法(2SLS)和广义矩量法(GMM)三种不同的估计方法,分析了影响中国住房投资波动的因素。结果表明:(1)房价弹性大于成本弹性,说明中国住房投资过热的部分原因是房地产市场的盈利空间较大。(2)今年土地开发空间对住房投资的影响为正,说明收入效应大于成本效应。(3)实际利率对房地产市场的影响很大,因此,证明了政府通过货币政策对利率的上调来调控房地产市场是有效的。进一步得出一系列政策将有效控制住房投资增速,抑制房地产投资过热的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Inverse Eigenvalue Problem for a Special Kind of Matrices A Nonlinear Artificial Intelligence Ensemble Prediction Model Based on EOF for Typhoon Track Product Review Information Extraction Based on Adjective Opinion Words The Design and Implement of Meteorological Service Benefit Assessment for Huaihe River Basin with GIS Technology The Effects of Interest Rate Regulation on Real Estate Prices in China
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1