The Impact of Hot Money on Chinese Real Estate Price

Because of the expectation of RMB appreciation and the extremely high return rate of Chinese real estate market,more and more hot money rushed into China.As a result,the real estate price level is getting higher and higher,the bubble economy is getting worse,and the Chinese real estate is accumulating numerous risks.This study tried to find out the relation between the hot money and Chinese real estate price level with the help of empirical method.The study not only analyzed the impact of hot money on Chinese real estate price level and its harmful influence over the economy,but also proposed some suggestions to supervise the real estate market.

A Research on Government Regulations on High Price and High Vacancy in Real Estate: A Case Study of the Southern District of Qingdao City

Real estate plays a vital role in national economy and contributes a lot to social development. However, the rapid progress that has been made brings some problems, such as high price and high vacacy. This thesis takes Southern District of Qingdao City as an example to illustrate government regulation concerning real estate, and at the end some suggestions are provided.

Research on the Impact of Market Concern for Real Estate Policy on Housing Prices: Evidence from Internet Search and Hedonic Price Theory

To avoid the effects of systemic financial risks caused by extreme fluctuations in housing price,the Chinese government has been exploring the most effective policies for regulating the housing market.Measuring the effect of real estate regulation policies has been a challenge for present studies.This study innovatively employs big data technology to obtain Internet search data(ISD)and construct market concern index(MCI)of policy,and hedonic price theory to construct hedonic price index(HPI)based on building area,age,ring number,and other hedonic variables.Then,the impact of market concerns for restrictive policy,monetary policy,fiscal policy,security policy,and administrative supervision policy on housing prices is evaluated.Moreover,compared with the common housing price index,the hedonic price index considers the heterogeneity of houses and could better reflect the changes in housing prices caused by market supply and demand.The results indicate that(1)a long-term interaction relationship exists between housing prices and market concerns for policy(MCP);(2)market concerns for restrictive policy and administrative supervision policy effectively restrain rising housing prices while those for monetary and fiscal policy have the opposite effect.The results could serve as a useful reference for governments aiming to stabilize their real estate markets.

Stock Market Turnover and China’s Real Estate Market Price: An Empirical Study Based on VAR

Our analysis used the monthly data of the average sales price of commodity houses and stock turnover in the Shenzhen Stock Exchange from January 2016 to December 2020. We selected this data to establish a Vector Autoregression(VAR) model using the Granger causality test to investigate the correlation between the stock market and the real estate market. We found that there is a significant positive correlation between the stock market and the real estate market. We also found that the real estate market price is the one-way Granger cause for the stock market turnover, and that changes in the real estate market price have a significant role in forecasting changes in stock market turnover. Therefore, the linkage between the two markets should be considered in macro regulations, and the impact on one of the markets should be considered when regulating the other.

Energy Price Fluctuation and Real Estate Market Risk Prevention——Empirical Evidence at the Prefecture-Level City Level in China

The impact of energy price fl uctuation on the macro economy is a hot issue that is continuously concerned by the academic community,but few literature have paid attention to the impact of energy price fl uctuation on housing price and the financial risks that may arise.Based on the data of cities at and above the prefecture level in China,this paper empirically examines the impact of energy price fl uctuation on the price fl uctuation of the domestic real estate,and analyzes its infl uencing mechanism and transmission pathways.The results show that changes of energy price will significantly affect the fl uctuation of domestic real estate price,and it is more obvious in large cities and megacities.Energy price affect the demand for housing through changes of interest rate levels on the one hand,and the supply of the real estate market through the cost of housing construction on the other hand,which leads to housing price fl uctuation.After a series of robustness tests,the results are still valid.At the same time,the effect is asymmetric,that is,higher energy price increases the fl uctuation of house price,but the impact of falling energy price is not significant.Therefore,when preventing real estate market risks,energy price should be considered as a forward-looking indicator to focus on,and the regulation and control policies of the real estate market should be scientifically formulated.This paper not only provides a new perspective on the mechanism of housing price formation,but also enriches the research on the interconnection between energy and financial markets.

Study on the roles and acting mechanism of the real estate brokerage in China second-hand housing market

As China housing reform deepens, the second-hand housing transactions become more and more popular and real estate brokerages, as an intermediary of the transactions, become an undeniable important part of this market. This article mainly explores the roles and the acting mechanism of real estate brokerages in the second-hand housing market. The results show that the participation of real estate brokers in the second-hand housing market may have positive and negative influences. On one side, brokers ease the housing transaction process and benefits buyers and sellers by shortening the sale time on the market. On the other side, if brokers are the only participants in the housing transaction, acting as buyer and seller like some firms do, housing prices will increase and this negative effect will become even stronger as the participation of many more brokers increases. Therefore, the regulation and management of the industry is vital for the long and healthy development of the housing market in China.

The Impact of Property Tax on the Development of Real Estate Industry

In recent years,due to the rapid development of the real estate industry in China,land speculation has begun in addition to the significant growth in economy.However,this rapid development has led to an extreme rise in housing prices,largely owing to high property tax.This article analyzed the impact of property tax on the development of real estate industry and provided countermeasures.

Real estate appraisal system based on GIS and BP neural network

For the inefficiency and inaccuracy of appraisal method of traditional estate appraisal theory, the real estate appraisal system based on GIS and BP neural network was established. The structure of the system was designed which includes appraisal model, trade case, GIS database and query analysis module. With the help of the L-M algorithm in MATLAB software, BP neural network was improved and the trade cases were trained, then the BP neural network which has already been trained was tested. At the same time, the BP neural and GIS were put together to construct the hedonic price estimate model. The C# and ArcGIS9.3 were used to achieve the system in VS2008. City basic geographic data and real estate related information were used as the basic data in practice. The results show that the functions of querying, adding and editing the spatial data and attribute data are achieved and also the efficiency and accuracy of real estate are improved, so that the new method of real estate is provided by the system.

论动产抵押权的追及效力——解读《民法典》第406条

《中华人民共和国民法典》第406条规定了抵押人可以任意转让抵押财产,不需要经过抵押权人的事先同意,并可通过设立抵押权追及效力来保障抵押权人的利益。这种制度设计较好地平衡了抵押人、抵押权人和受让人的利益。但是,动产抵押有别于不动产抵押的特殊性,导致了实践中动产抵押权追及效力的实现困境,影响抵押权人的利益。动产抵押如何在实现物尽其用、促进交易的基础上,更好地平衡各方利益、保障抵押权追及效力的实现,是一个亟需解决的现实问题。在立法和司法实践中,应当继续探索及完善动产抵押的相关法律制度。

不动产抵押登记被撤销后相关法律问题探究

已经登记的抵押权被撤销或注销后,抵押权是否有效以及各当事人之间如何承担责任的问题,在我国理论界探讨不足,立法上尚属空白。在司法实践中,由于不动产抵押登记行为具有行民交叉的特征,存在着诉讼路径与诉讼结果的冲突,增加了司法诉累,影响了司法公信力。抵押登记是一种行政行为,不是一种持续的状态。即使抵押权登记被撤销或被注销,抵押权人的信赖利益仍然受到法律的保护,抵押权应继续有效。应当采取抵押权登记纠纷的行民合并审理模式,以保护交易安全,节约司法成本。如果抵押登记在行政诉讼中被撤销或被行政机关主动注销,说明行政机关在当初登记时就有错误,受到损失的利害关系人可以要求登记机关承担赔偿责任。

特征价格模型方法应用的研究进展与展望

特征价格模型方法是房地产市场价格评估、预测及影响因素分析研究中经典且常用的工具,通过梳理特征价格模型的理论基础,运用文献计量方法全面分析其研究现状。研究发现:1)新消费者理论和市场均衡理论是特征价格模型的理论基础;2)特征价格模型已成为应用经济学、人文地理学和城市规划等多学科领域使用的重要方法;3)特征价格模型包括普通多元回归模型、空间回归模型、多层次模型和机器学习等方法;4)特征价格模型的解释变量主要由结构特征、邻里特征和区位特征3大维度构成,其他环境特征也逐渐受到关注,但特征变量的测度方法不同可能导致研究结论的差异;5)未来的特征价格模型应用研究应从完善理论分析框架、选择合适的模型方法、准确测度特征变量内涵和提升研究结论的普适性等方面进行改进。

人口老龄化对金融稳定的影响

金融是国民经济的血脉,人口因素是影响金融稳定的关键因素,因此人口结构失衡会对宏观经济发展和金融市场稳定产生重要的影响。本文选取我国2013~2022年的宏观季度数据,实证检验人口老龄化与金融稳定的关系。结论表明:从省份层面来看,人口老龄化对金融稳定呈现负面影响,通过增加房地产价格波动和增加财政压力降低金融稳定性。在进一步研究中,本文从全国层面出发,研究发现人口老龄化对金融稳定同样存在负面影响。

土地房地产税基基准价管理系统的设计与实现

为实现在土地房地产交易环节中实行计税基准价数字化、规范化管理的目标,针对土地房地产税基基准价管理中的问题,分析设计了土地房地产税基基准价管理系统主要功能、系统用例图、主要状态图等,并通过轻量级J2EE框架SSH来实现系统。系统主要包括系统管理、数据采集管理、数据运维管理、数据审核管理、应用查询系统等五大部分。该系统易于操作、使用、维护,满足用户的使用习惯,有效提高土地房地产交易环节中计税价格公正合理性,提高信息共享程度,具有较好的示范性及应用推广价值。

房地产价格、居民消费与经济波动关系研究——基于35个大中城市数据的BEKK模型分析

本文以全国和35个大中城市自2005年第三季度到2011年第三季度的季度数据为研究样本,利用BEKK模型实证检验了房价的波动与居民消费、经济波动之间的溢出效应。研究结果发现,不同地区的溢出效应存在巨大的差异性,对不同地区相应采取的针对房价的宏观调控政策应有所区别。

基于国产密码技术的不动产登记集成办事平台设计与实现

针对“互联网+”模式面临的信息安全威胁,文章以身份认证、数字签名和电子签章等国产密码技术为基础,设计了基于“互联网+不动产抵押登记”模式的集成办事平台。该平台通过引入强身份认证机制,确保用户在进行不动产抵押登记申请时具有高度可信的个人身份。同时,采用重要数据加密传输的方式,保护敏感信息在网络传输过程中的安全性,防止信息被非法获取或篡改。此外,该平台通过电子签名和签章技术进行验证,确保操作的真实性和完整性。研究结果表明,该平台能够有效解决“互联网+”模式面临的信息安全保障问题,相关功能架构的可复用性较强,为完善和推进“互联网+政务服务”体系建设提供了有力支撑。

居民活动空间重塑视角下地铁与住宅价格的非线性关联

地铁重塑了居民的日常活动空间,拓展了他们接触各类资源的机会。然而,现有文献往往忽略地铁所带来的资源接触机会拓展对住宅价格的影响。文章以“15 min生活圈”概念为基础,以成都市为案例地,采用网络分析对居民的活动空间进行划定,将资源配置划分为邻里层面和跨区域层面,并构建极限梯度提升(XGBoost)模型,分析地铁可达性特征、邻里层面资源配置和跨区域层面资源配置对住宅价格的非线性影响。结果显示:1)最近地铁站接近中心性对住宅价格贡献率达14.26%,成为住宅价格的重要解释因素之一;2)邻里层面和跨区域层面资源配置的贡献率分别为34.60%和19.55%,表明邻里层面资源配置对住宅价格有较强的解释力度,但跨区域层面资源配置的影响也不容忽视;3)地铁可达性特征、邻里层面资源配置和跨区域层面资源配置与住宅价格存在复杂的非线性关系,且不同层面资源配置对住宅价格的影响呈现不同的趋势。

房地产企业资本结构对股价波动的传递效应分析——基于结构化GARCH模型

中国房地产企业资本结构长期处于高负债、高杠杆状态。在二十余年的房地产高速发展过程中,高杠杆风险长期被忽视,甚至被认为是房地产企业发展的固有模式。在结构化GARCH模型中引入资本结构因素,检验房地产企业资本结构对股价波动的传递与溢出效应。研究发现:中国房地产市场具有结构化特征,杠杆乘数与股价波动具有同步性;过高的负债水平并不会提升房地产企业的规模效应,反而会抑制股票收益率的增长。