Are House Prices Rising Too Fast in China?

Ahuja, Ashvin; Cheung, Lillian; Han, Gaofeng; Porter, Nathan; Zhang, Wenlang

doi:10.2139/ssrn.1751386

Cited by 23 publications

(7 citation statements)

References 4 publications

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“…Rapid house price growth in the past decade has attracted numerous studies on the existence of potential real estate bubbles in China. For instance, Ahuja et al (2010) find that except for some large cities which show excessive price growth, as of mid-2010 the overall real estate prices in China appear to be in line with the underlying market fundamentals. Feng and Wu (2015) also do not find evidence of house price bubbles at the national level in China.…”

Section: Literature Reviewmentioning

confidence: 98%

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Can real estate regulatory policies constrain real estate risks to banks? Evidence from China

Jiang

2021

Journal of Chinese Economic and Business Studies

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This study investigates the effects of real estate regulatory policies on the real estate risks to banks in China. The study shows that real estate control policies issued by the policy makers in China cannot constrain the risks of the real estate market to banks. Real estate stimulating policies, however, could raise the risks of the real estate market to banks, which mainly results from the effects of tax-related stimulating policies. The study also shows that real estate control policies affect the discount rate risks of the real estate firms to banks, while both the real estate control policies and the real estate stimulating policies show some effects on the overall risks of the real estate firms to banks.

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Section: Literature Reviewmentioning

confidence: 98%

“…However, the issue of whether regulatory policies can constrain real estate risks, particularly real estate risks to the banking sector, has been neglected. Previous research suggests that it is difficult to determine whether a real estate price is too high or whether a real estate price bubble exists (Ahuja et al 2010, Cadil 2009.…”

Section: Introductionmentioning

confidence: 99%

Can real estate regulatory policies constrain real estate risks to banks? Evidence from China

Jiang

2021

Journal of Chinese Economic and Business Studies

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“…It's never about a sole problem that exists as a whole in China's real estate market. The first sign of soaring price in the housing market arises most apparently in Tier 1 cities and coastal cities, like Shanghai and Shenzhen [11]. In Tier 1, there is housing shortage due to the well-developed economy and population.…”

Section: Disparities and "Ghost Cities"mentioning

confidence: 99%

The Impact of Tax-Sharing Reform on Housing Market in China

Pang

2023

LNEP

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The impact of Tax-Sharing Reform on the housing market in China and its effectiveness in curbing speculative practices are subjects of critical importance. The Chinese governments principle of Housing is for living, not for speculation underscores the challenges posed by the persistent housing bubble, fueled by speculative behavior. This study delves into the historical context of the 1994 tax-sharing reform, which initially stimulated the growth of the housing market by increasing government revenue and providing local governments with greater financial autonomy. Drawing on a comprehensive analysis, this paper explores the underlying causes of the current issues in the housing market and evaluates the effectiveness of the tax-sharing reform in regulating speculative practices. While the reform exhibited positive outcomes in the past, this study argues that its applicability in the present scenario warrants scrutiny. The evolving market dynamics and contextual factors necessitate a reevaluation of the policys effectiveness. Taking a balanced approach, the paper critically examines the benefits and drawbacks of the tax-sharing reform in the context of the current housing market challenges. Additionally, the study presents the authors perspective on the reforms limitations and proposes alternative policy suggestions to address the persisting issues more effectively. By offering insights into the reforms impact on the housing markets development trajectory, this research aims to contribute to a more nuanced understanding of the relationship between fiscal policies and the Chinese housing market. The paper uses qualitative method and case study to illustrate the topic.

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“…As a pillar industry to promote the development of the national economy, real estate is an indispensable part of the economic development of every country and region. In recent years, Chinese real estate has developed rapidly [1]. And the housing rental market has developed into a specialized market [2] from the stage of the welfare rental market [3] where the company provides preferential rooms to employees as welfare benefits.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Analysis of Rental Price using Random Forest Machine Learning Technique Take Shanghai and Wuhan for example

Hu¹,

Huang²,

Li³

2023

Advances in Computer Science Research

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With the rapid development of China's real estate market, the real estate industry has become a significant part of Chinese national economy. However, the high housing prices in the first-tier and new first-tier cities have forced many young people to turn their attention to the rental market, setting off an upsurge of housing rental. Based on the random forest model, this paper selects two cities, Shanghai and Wuhan, to study the price trend of the housing rental market and its influencing factors. Finally, it is found that the random forest regression model has no significant effect on the rental forecast in Shanghai. It may be that for a highly modernized first-tier city, the variables selected in this paper are not enough to fully explain the rental price. The prediction effect of rental price in Wuhan is significantly better, among which the characteristics of urban area and housing itself have a great impact on rental price. This research can serve as a reference for future researchers in the housing rental market, while helping landlords and tenants make optimal choices.

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Are House Prices Rising Too Fast in China?

Cited by 23 publications

References 4 publications

Can real estate regulatory policies constrain real estate risks to banks? Evidence from China

Can real estate regulatory policies constrain real estate risks to banks? Evidence from China

The Impact of Tax-Sharing Reform on Housing Market in China

Prediction and Analysis of Rental Price using Random Forest Machine Learning Technique Take Shanghai and Wuhan for example

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