Urban housing prices within a core urban agglomeration in China

Liu, Lu; Qiu, Linda; Yang, Yuanyuan

doi:10.1007/s43546-022-00351-x

Cited by 3 publications

(4 citation statements)

References 30 publications

(33 reference statements)

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“…Each scale includes five options, i.e., nearly everyday, often, half of the time, sometimes, and never. In reference to Liu and Liu ( 7 ), this study constructed a depression scale score (CES-D) to measure individuals’ psychological health. The five options mentioned are assigned values of 0, 1, 2, 3, and 4.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, health is also a vital part of human capital and is the fundamental factor for realizing economic development. Existing research has explored the impacts of different factors on health through the following perspectives: the impact of macrolevel factors on health, including migration ( 2 , 3 ), urbanization ( 4 ), economic crises ( 5 ), environmental pollution ( 6 ), and housing price fluctuations ( 7 ); the impact of micro- and individual-level factors, such as gender ( 8 ), occupation ( 9 ), education ( 10 , 11 ), and income ( 12 ), etc. However, only a small number of studies have examined the impact of housing on health.…”

Section: Introductionmentioning

confidence: 99%

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How housing burden damages residents’ health: evidence from Chinese cities

Guo,

Zhong,

et al. 2024

Front. Public Health

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BackgroundCurrently, China is steadily pursuing high-quality development and promoting common prosperity, for which residents’ health is a precondition. However, high housing-price-to-income ratios and rent-to-income ratios have already triggered many social problems and have substantially affected people’s work and life. It is of practical significance to examine the relationship between housing burden and residents’ health.MethodsCombining city-level housing price-to-income ratio data and residents’ health data from the China Family Panel Studies, this study employs a binary logit model to investigate the impact and mechanism of housing burden on residents’ physical and psychological health.ResultsOverall, a 1% increase in the housing-price-to-income ratio leads to a 1.2% decrease in physical health and a 1.9% decrease in psychological health. In terms of different psychological state indicators, a 1% increase in the housing price-to-income ratio leads to a 1.1% increase in depression, 1.1% increase in nervousness, 1.4% increase in relentlessness, 1.4% increase in hopelessness, 1.0% increase in a sense of incapability, and 1.4% increase in meaninglessness. According to mechanistic analyses, a 1% increase in the housing-price-to-income ratio leads to increases of 0.6 and 0.7% in the smoking rate and late sleep rate, respectively, while it leads to a 0.9% decrease in the noon nap rate.ConclusionA growing housing burden significantly negatively impacts both the physical and psychological health of residents and increases the possibility of negative emotions. Further investigation revealed that the housing burden damages residents’ health by increasing their likelihood of smoking and sleeping late and decreasing their likelihood of taking a nap at noon, while exercise alleviates the negative impacts of the housing burden on residents’ physical and psychological health. Finally, we also find that housing burdens’ impacts on physical and psychological health differ significantly in terms of gender, age, and educational attainment. From the perspective of improving livelihoods, governments should consider the relationship between housing burdens and residents’ health when formulating livelihood policies. Location-specific and targeted policies should be followed. Additionally, efforts should be made to promote exercise among citizens.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How housing burden damages residents’ health: evidence from Chinese cities

Guo,

Zhong,

et al. 2024

Front. Public Health

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“…Residents' health is an important symbol for evaluating the prosperity of a nation and a country. Most scholars use selfassessed health to measure residents' health [45][46][47]. Some scholars, such as Xie [48] and Peng et al [49], have used prevalence and population mortality to measure residents' health, respectively.…”

Section: Variable Descriptionmentioning

confidence: 99%

Air Quality and Residents’ Health in China: An Empirical Analysis Based on Spatial Simultaneous Equations

2022

Applied Sciences

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Large-scale air pollution has an impact on the health and travel of residents in China. First, this article uses the gravity model and finds that China’s air quality presents a typical spatial correlation network. The network structure has changed from complex to simple, indicating that China’s air quality is gradually improving. Second, this paper uses spatial simultaneous equations to study the effect of air quality on residents’ health. The results show that an increase in the air quality index of local and surrounding provinces will have a significant impact on the health of residents. The absolute and relative air quality affects the lives of residents. The decline in the health of residents from the previous period will prompt the government to adopt various pollution reduction policies, which will improve air quality in the current period. Based on the empirical research conclusions, this article makes policy recommendations.

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“…Although the Chinese government introduced three policies in 2013, 2015, and 2021, respectively, the effect of these policies in boosting fertility has not been significant [3], and people's willingness to be fertile has been difficult to revitalize. Some scholars have interpreted this phenomenon from an economic point of view, in which the continuous growth of housing prices is widely recognized as the main factor negatively affecting fertility intentions [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

How Family Wealth Affects Fertility Intentions: the Roles of Social Media Exposure and Subjective Class Identification

Xia,

Yao

2024

Applied Mathematics and Nonlinear Sciences

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Demographic dividend is an important driving force for sustainable economic development in developing countries. In recent years, the Chinese government has introduced a series of policies to encourage fertility, but the fertility rate still continues to decrease, which is likely to have a negative impact on China’s economic development. This study proposes a influencing mechanism model of the fertility intentions of the Chinese population from the perspectives of political economics and social psychology, and validates the model through a national sample survey. It is found that family wealth indirectly and positively affects fertility intentions through Chinese people’s subjective class identification; and social media exposure negatively moderates the relationship between family wealth and subjective class identification. This mechanism provides a theoretical explanation for the current special changes in fertility intentions to a certain extent, and also provides a practical basis for policy makers and media regulators to take measures to stimulate Chinese people’s fertility intentions.

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Urban housing prices within a core urban agglomeration in China

Cited by 3 publications

References 30 publications

How housing burden damages residents’ health: evidence from Chinese cities

How housing burden damages residents’ health: evidence from Chinese cities

Air Quality and Residents’ Health in China: An Empirical Analysis Based on Spatial Simultaneous Equations

How Family Wealth Affects Fertility Intentions: the Roles of Social Media Exposure and Subjective Class Identification

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