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While the declining rate of urban security and its potential effects have been globally acknowledged, the ways urban neighborhood security shapes real estate markets in African cities remain largely unexplained. The purpose of this paper therefore is to present the findings from a study of the nexus between urban neighborhood security and home rental prices in Lagos, Nigeria.

This paper is based on the hedonic price theory, an objectively derived urban neighborhood security index (UNSI) and property rental price data in Ojo, Lagos, Nigeria. This is a quantitative cross-sectional study that employs multistage sampling survey procedure. Data are analyzed using descriptive statistics, nonparametric correlation and hedonic price function with ordinary least squares (OLS).

Results show that nearly 50% of the study area is prone to insecurity and average rental values in Ojo, Lagos range from N151329.41 ($302.66) to N167333.33 ($334.67) per annum. Correlation analysis shows that home rental prices have high, positive and significant correlations (rs = 0.725 and p < 0) with UNSI. After controlling for neighborhood and structural factors, it is found that urban neighborhood security positively influences home rental values as a unit improvement in security leads to N81000.00 ($162.00) increase in rental value per annum.

Urban neighborhood security risk threatens residential property values, creates unintended residential mobility and destabilizes families. Findings from this study point to the facts that security is a key component of urban housing values and developers, and real estate investors must ensure that this component is well factored into property design, construction and valuation.

This is perhaps the first study that uses an objectively derived UNSI to study home rental price dynamics in Nigeria. The study extends knowledge on urban housing price determinants and contributes to literature on the crucial place of security in property management.

This paper aims to scrutinize the value of houses explained by their location in Central Asia’s largest city – Tashkent, the capital of Uzbekistan. The city was completely rebuilt after a devastating earthquake of 1961 and since the country was under the centrally planned regime, houses followed a common standard and style. This allows minimizing the error from omitting possible intrinsic characteristics in a hedonic model, while measuring the impact of location on housing values.

This study uses unique data on housing values and characteristics harvested from classified adverts. This study deliberately focused on data between 2013 and 2016, when Uzbekistan was characterized as hesitant in economic reforms. Therefore, residential buildings constructed during the Former Soviet Union dominated all parts of the city in the analysis period. The results are based on the hedonic pricing model.

The results suggest that locational characteristics are relatively more important than intrinsic characteristics. This study finds that proximity to the city center and access to subway stations significantly increase housing values. The opposite is true for the case of proximity to a wastewater treatment plant. Surprisingly, on the contrary to the authors’ expectations access to a park has no economically significant impact on housing values. The results, therefore, call for an integrated approach for city planning.

The first and most important contribution of this study to the field of housing economics is that it is the first study done for Uzbekistan, the most populated Central Asian country, and it is a case study for other Central Asian countries. The second contribution of the study is that, after a long and meticulous study, the determinants of housing prices were analyzed by taking into account all possible intrinsic and extrinsic properties of houses with the similar characteristics, over a unique data set created from approximately 18,000 observations from classified pages of a major newspaper published every Thursday in Tashkent City. The final contribution of the study is that it offers new perspectives and policy recommendations to the housing market actors in Uzbekistan.

This paper seeks to explore the dynamics of the spatial distribution of landed residential property values in Singapore in the 1990s. Topics covered include: spatial patterns that can be discerned in the distribution of landed property values; how property values change over time; and how government intervention influenced this dynamic property value surface. Data are collected from the Singapore Institute of Surveyors and Valuers property transaction database, and are analysed by using the geographic information system, parametric and non‐parametric statistics. Findings of this paper contribute to the understanding of the urban dynamics of an Asian metropolis, especially in terms of its residential property market and internal spatial structure.

The purpose of this paper is to investigate the impact of land tenure on housing values in metropolitan Kampala.

A hedonic model is used to test the relationship between housing prices, land tenure and housing attributes using a cross-sectional dataset of transaction prices for 590 newly built houses sold in 2011.

Public leaseholds in Kampala offer a premium of 23 per cent in housing values compared to freeholds. This could be due to a lack of formal systems for the assessment of leasehold premium and ground rent charges, an arrangement which can offer utility to the lesse at the expense of lessor, thereby making leaseholds popular on the market, or the developers’ lack of information on the benefits of freehold causing them to value leaseholds higher than freeholds. Similarly, private mailo tenure offers a 12 per cent premium in housing values compared to freeholds. There is no significant impact of Kabaka’s mailo tenure on housing values. When compared to private mailo, public leaseholds offer an 11 per cent premium in housing values.

There is a need to advance leasehold as the urban land tenure for Uganda, disentangle multiple-layers of ownership on mailo land and roll out the land fund to enhance growth of the housing market in Kampala.

This paper is the first of its kind to empirically examine the impact of mailo land tenure on housing values. Findings provide useful insights for investors and policymakers in the housing sector in Uganda.

The primary purpose of this study is to identify whether there is a price premium and consumers’ preferences for higher housing density, and whether there is a relationship between housing densities and sales prices. The second purpose was to identify if there is a non-linear relationship between housing density and prices even though housing density is directly associated with housing prices.

This paper applies hedonic modeling techniques to measure the value of development density of apartments in the metropolitan area of Seoul, South Korea. The regression of the sale price is a function of different types of variables such as density, market, location and other control variables.

For the first question, this paper concludes that the higher densities cause housing prices to decrease in Seoul. The summary of the results presents that housing density, floor area ratio (FAR), building coverage ratio and floor level are all important components affecting housing prices. Generally, consumers tend to buy housing with central heating systems, more parking spaces, smaller portion of rental housing within an apartment and buildings that have more of a mixed-use function. Consumers are also found to pay higher premiums for housing in areas with high population growth and less housing supply. It is conclusive that people are inclined to live in populated areas but do not want more density. For the second question, the results show that generally FAR has quadratic effects, but most housing density variables tend to have a non-linear relationship depending on the different quantile groups.

There is a knowledge gap in the area of estimating development density of apartments. Generally, studies investigating property value impacts of multifamily housing focus on external effects of the multifamily housing on home values to examine whether high density development could result in a decrease in nearby property values. These studies found that there are some positive effects. A study found that high-density housing increases property values of existing single-family homes (Joint Center for Housing Studies, 2011). More specifically, developments that are of a high design quality and superior landscaping increase values of single-family homes as well. Also, those residents who live in these high-density apartments can be good potential buyers for the existing single-family homes. The greater the number of buyers, the greater the housing market becomes. Similarly, according to a report by the Joint Center for Housing Studies (2011) at Harvard University, the presence of multifamily residents correlates with higher home values in “working communities”. Indeed, density can be an important factor determining value of apartments because of its unique characteristics. However, no empirical evidence has been provided in the literature with regard to the value of the development density. This study contributes toward improving this knowledge gap.

Previous studies on housing affordability in China were concentrated in China’s coastal and central regions. The purpose of this paper is to investigate housing affordability of urban residents in Northwest China. Moreover, this paper attempts to understand the consistency and influencing factors of various indicators on the evaluation of housing affordability.

This paper uses multiyear data on house sales, residents’ incomes and living expenses from 2011 to 2022. House price-to-income ratio, housing affordability index and residual income approach were calculated by using these data and used as the measure of housing affordability.

The results show that there are obvious differences in the housing affordability among the Xi’an, Lanzhou and Yinchuan during 2011–2022, and the housing affordability of residents in cities with small population and economic scale is better. The ability of most urban residents to afford suitable housing is still poor, and the ability to afford small-sized housing is better. Most families with below-middle income have poor housing affordability. It is also observed that although various indicators had similarities in the evaluation of residents’ housing affordability, the comprehensive evaluation results of multiple indicators were more reliable.

The research results provide a basis for the decision-making of the government’s urban housing policy and improvement of residents’ housing conditions.

The results have a clear understanding of the housing affordability of urban residents in Northwest China. The study found that the geographical location and topography of the city is also a factor affecting the housing affordability.

We examine the relevance of governmental accounting information to the citizenry by analyzing the association between various financial and non-financial measures of local government performance and residential property values. The link between government performance measures and residential property values is based on a model of housing value capitalization developed by Yinger (1982). Using a model of firstdifferences, we find that changes in housing values are associated with government financial measures, including reported surplus and changes in outstanding debt. Further, we find that changes in housing values are also associated with non-financial measures of performance by county schools. Overall our results suggest that both financial and non-financial government performance measures are economically relevant to citizen property owners.

It was not until the late 1960s that housing attracted much attention from academic social scientists. Since that time the literature has expanded widely and diversified, establishing housing with a specialised status in economics, sociology, politics, and in related subjects. As we would expect, the new literature covers a technical, statistical, theoretical, ideological, and historical range. Housing studies have not been conceived and interpreted in a monolithic way, with generally accepted concepts and principles, or with uniformly fixed and precise methodological approaches. Instead, some studies have been derived selectively from diverse bases in conventional theories in economics or sociology, or politics. Others have their origins in less conventional social theory, including neo‐Marxist theory which has had a wider intellectual following in the modern democracies since the mid‐1970s. With all this diversity, and in a context where ideological positions compete, housing studies have consequently left in their wake some significant controversies and some gaps in evaluative perspective. In short, the new housing intellectuals have written from personal commitments to particular cognitive, theoretical, ideological, and national positions and experiences. This present piece of writing takes up the two main themes which have emerged in the recent literature. These themes are first, questions relating to building and developing housing theory, and, second, the issue of how we are to conceptualise housing and relate it to policy studies. We shall be arguing that the two themes are closely related: in order to create a useful housing theory we must have awareness and understanding of housing practice and the nature of housing.

Housing affordability in New Zealand is placing significant pressure on the country’s social housing sector with increased demand for public sector accommodation. A common belief suggests that social housing has a negative effect on nearby residential property values. This study aims to develop proximity and concentration measures of social housing to determine if their spatial distribution affects property values.

Using over 32,000 residential sales transactions from Auckland (New Zealand) during a three-year period (2014–2016), this study applies standard hedonic OLS framework with the addition of spatial autoregressive model and spatiotemporal autoregressive model to test if proximity and concentration of social housing influence residential property values.

The research found that private houses that share boundaries with public housing are discounted by 1.7%–3.3% depending on the socio-economic status of the submarket. The authors find that wealthier submarkets are better equipped to absorbing negative externalities attached to social housing. Proximity measures tend to peak at 250 m, with houses discounted up to 5% within that distance. Concentration levels of social housing had a greater influence on the private residential market. At low levels of concentration, houses in areas of high and low socio-economic levels were discounted by approximately 6.5%. The discount does not remain uniform and the gap between the two areas is apparent at medium and high concentration levels. The negative effect was the highest − 23% – in the neighbourhoods that were socially and economically deprived.

The study’s findings can assist policymakers in informing strategies on the future social housing initiatives. The findings suggest that a dispersed development strategy that incorporates a balanced mix of tenure and socio-economic groups should be preferred over a high-density social housing concentrated in already deprived neighbourhoods.

This study aims to explore the impact of decentralized long-term rental apartments on the value of in-community housing from two perspectives of housing price and rent.

This study uses the hedonic model to identify the factors affecting the housing value, and the influence of distributed long-rented apartments on the housing value in the community is analyzed from two aspects of housing price and rent by using the ordinary least square method and propensity score matching method.

The primary finding indicates that decentralized long-term rental apartments increase housing prices while decreasing general rental housing rents in the community, with the average degree of increase ranging from 0.93% to 2.59% and the average degree of decrease ranging from 2.23% to 4.34%. According to additional research, the prices of houses within communities rise by 0.042% for every 1% increase in the share of decentralized long-term rentals, while the rents for other types of rental property fall by 0.162%.

The government can regulate the housing market by regulating the access and layout of distributed long-rent apartments.

The findings of this study indicate that the existence and share of distributed long-rent apartments have a heterogeneous impact on the housing price and rent in the community, respectively.