Use of a Gini index to examine housing price heterogeneity: A quantile approach

Villar, Jaume García; Raya, Josep María

doi:10.1016/j.jhe.2015.06.001

Cited by 12 publications

(5 citation statements)

References 18 publications

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“…A society with a Gini coefficient close to 0 means a society with small economic disparity among its members, and a society with a Gini coefficient close to 1 means a society with large economic disparity among its members. Although the Gini coefficient was designed to measure income disparity, the index is also used to measure disparity and distribution in diverse fields [ 60 ] in housing price distribution [ 9 , 61 ], happiness inequality [ 62 ], and bacterial aggregation [ 63 ]. Based on the basic principle of the Gini coefficient, this study calculated the regional economic inequality index by accumulating housing prices from the lowest to the highest by replacing income.…”

Section: Methodsmentioning

confidence: 99%

The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul

Kang

Lee²,

Koo

2023

Int J Equity Health

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This study attempted to illustrate whether mental health deterioration could be alleviated by high social capital in an environment with high economic inequality. Daily mental stress was employed as a mental health factor when analyzing the association with economic inequality in the Seoul Survey data. Regarding social capital, community trust and altruism were included as cognitive dimensions, and participation and cooperation were included as structural dimensions in each model. The first finding showed a significantly positive relationship between economic inequality and daily stress, meaning that, like other mental health problems, daily mental stress is also high in regions with high economic inequality. Second, the slope of the daily stress increased in respondents with high social trust and participation was alleviated in an economically unequal environment. This indicates that social trust and participation have a buffering effect by moderating the slope of daily stress in societies with high inequality. Third, the buffering effect differs depending on the social capital factor. The buffering effect of trust and participation showed in an unequal environment, while the buffering effect of cooperation showed regardless of the unequal environment. In summary, social capital factors showed the effect of relieving daily mental stress in the relationship with economic inequality. Also, the buffering effect of social capital on mental health may show different aspects for each element.

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Section: Methodsmentioning

confidence: 99%

The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul

Kang

Lee²,

Koo

2023

Int J Equity Health

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“…2. The socio-economic factors include the Gini coefficient of population, the Moran index of education, and the GDP per capita, (Tsai, 2005;Villar & Raya, 2015;Zhang et al, 2016). The Gini coefficient of population represents the unequal population distribution in the metropolitan area.…”

Section: Potential Determinantsmentioning

confidence: 99%

Multilevel effects of urban form and urban functional zones on housing prices: evidence from open-source big data

Huang,

Qiao,

Yeh

2024

J Hous and the Built Environ

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While the relationship between local housing prices and the urban form and distribution of urban functional zones in a single city is well-discussed, the conclusion is usually sensitive to a particular city context, and cross-city comparative study is limited. This study attempts to examine the influences of urban form and urban functional zone distribution on housing prices within and between cities after controlling the city-wide socio-economic and demographic differences. Based on multiple open-source big data, such as points-of-interest (POI) and historical housing transaction data, the hierarchical linear model is utilized to compare the housing market of 10 extra-large cities in China. Results indicate that the urban form and the urban functional zone distribution significantly influence housing prices after the socio-economic and demographic differences are controlled. For inter-city comparison, an urban form with high compactness, low centrality, low polycentricity, high density, and low dissimilarity in housing development is related to lower city-level housing prices. For intra-city, proximity to work centers, high-quality hospitals, and schools shows positive associations to housing prices.

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“…Conversely, a value of 1 would reflect complete inequality, where one observation holds all the wealth. A few studies have applied the Gini index to house prices 15,50 . The Gini coefficient is used to assess the amount of inequality in the dispersion of house prices between geographic areas, and how this is changing over time.…”

Section: Inequality Indicatorsmentioning

confidence: 99%

Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality

Kenyon,

Arribas-Bel,

Robinson

et al. 2024

npj Urban Sustain

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In this paper we explore the temporal dynamics of spatial inequality in housing prices for Madrid, the capital city of Spain. Spatial inequalities are a concerning feature of urban areas across the globe. It has been suggested that within cities housing prices are becoming more geographically unequal over time, particularly since the 2008 housing market crash. However, more evidence is needed at the intra-urban level to understand neighbourhood house price differences in large urban areas. Changes are analysed during a key period of the housing market bust (2010–2015) and boom (2016–2019), using data from a major housing listing portal. Fine grain space-time analysis of the distribution of housing prices supports an increase in spatial inequality and polarisation at the neighbourhood level. Two spatially differentiated housing sub-markets of high- and low-priced housing are identified. The persistence and growth of spatial house price inequality has important societal implications for the wealth gap and segregation of rich and poor in cities.

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Use of a Gini index to examine housing price heterogeneity: A quantile approach

Cited by 12 publications

References 18 publications

The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul

The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul

Multilevel effects of urban form and urban functional zones on housing prices: evidence from open-source big data

Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality

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