Assessing the impact of the demographic dividend on real estate prices: empirical evidence from China

Zhang, Ying; Liu, Xiaoxing; Ding, Yan; Su, Anni

doi:10.1080/13504851.2015.1039695

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Takáts [41] notes that that demographic dividend serves as an important driving force behind housing prices. Zhang et al [12] use a panel vector autoregression (PVAR) model to assess direct and indirect mechanisms of the demographic dividend that cause real estate price escalation. Their results show that the demographic dividend can increase housing prices though both direct and indirect channels.…”

Section: Macro-level Studies On Housing Pricesmentioning

confidence: 99%

“…Recently, whether a bubble in China's housing market exists has been discussed by Shen [4], Ren et al [5], and Feng et al [6]. Economic fundamentals [7,8], regional productivity [9], monetary [10], demographic [11,12], and behavioral factors [13] are recognized as major determinants of housing values. More recently, impacts of transit factors on real estate values have attracted broad interest from transportation researchers and policymakers around the world.…”

Section: Introductionmentioning

confidence: 99%

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Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

et al. 2016

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Urban rail transit facilities play a critical role in citizen's social activities (e.g., residence, work and education). Using panel data on housing prices and urban rail transit facilities for 35 Chinese cities for 2002 to 2013, this study constructs a panel data model to evaluate the effect of rail transit facilities on housing prices quantitatively. A correlation test reveals significant correlations between housing prices and rail transit facilities. Empirical results demonstrate that rail transit facilities can markedly elevate real estate prices. Quantitatively, a 1% increase in rail transit mileage improves housing prices by 0.0233%. The results highlight the importance of other factors (e.g., per capita GDP, land price, investment in real estate and population density) in determining housing prices. We also assess the effects of expectations of new rail transit lines on housing prices, and the results show that expectation effects are insignificant. These findings encourage Chinese policy makers to take rail transit facilities into account in achieving sustainable development of real estate markets.

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Section: Macro-level Studies On Housing Pricesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

et al. 2016

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“…Skare examined the impact of carbon emissions (Škare et al, 2021), COVID-19 (Skare et al, 2021) and financial crisis (Škare & Porada-Rochoń, 2021) on macroeconomic effects. Zhang concentrated on the impact of estate prices (Y. Zhang et al, 2015), paid knowledge market (Zhang et al, 2020), and foreign exchange (Y.…”

Section: Synthesis Analysismentioning

confidence: 99%

“…Zhang concentrated on the impact of estate prices (Y. Zhang et al, 2015), paid knowledge market (Zhang et al, 2020), and foreign exchange (Y. Zhang et al, 2014) on China's macroeconomic effects.…”

Section: Descriptive Analysismentioning

confidence: 99%

The Knowledge Analysis of Panel Vector Autoregression: A Systematic Review

Yang,

An,

Chen

et al. 2023

Sage Open

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The panel vector autoregression (PVAR) model preserves the advantages of the vector autoregression model while expanding its time series to the spatial direction, which can effectively solve the problem of individual heterogeneity using panel data. It is derived from econometrics but has been applied interdisciplinarily because of its advantages in metrology. Given its increasingly important role in econometrics and interdisciplinary applications, a systematic review based on the bibliometric tool was conducted by screening 292 articles related to PVAR from the Web of Science. First, a descriptive analysis of the related articles was conducted to identify the current research status of PVAR. It reveals that macroeconomic effects, economic growth and environmental protection, and model adaptation are the primary topics in PVAR-related research. Then, the study classifies PVAR models into three categories and summarizes the four estimation methods within the knowledge domain. Having clarity on the different categories and estimation methods enhances the practical utility of the PVAR model. Finally, to gain insight into the knowledge evolution of PVAR, this study discusses how research hotspots in the field have evolved over time. This analysis provides a historical perspective and allows researchers to anticipate future trends and emerging areas of interest within PVAR. Based on these findings, this study identifies three research opportunities that can guide future investigations in the field of PVAR. This study aims to foster extension applications of the model in econometric research and highlight its potential for interdisciplinary applications.

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How to Adjust the Family Planning Policy in China?

2020

Population Development Challenges in China

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Assessing the impact of the demographic dividend on real estate prices: empirical evidence from China

Cited by 6 publications

References 9 publications

Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China

The Knowledge Analysis of Panel Vector Autoregression: A Systematic Review

How to Adjust the Family Planning Policy in China?

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