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Cities are continually built and unbuilt (Hommels, 2005), reflecting cycles of investment and disinvestment across space, the machinations of housing and urban policy interventions, and shifting patterns of household need, demand, choice and constraint. The drivers of change are fluid and reflect shifting political, institutional, technological, environmental and socio-economic contexts. Urban landscapes evolve in concert with these changes, but the built environment tends to be defined more in terms of spatial fixity and the path-dependency of physical fabric. Suburban neighbourhoods register this dynamism in different ways as they have flourished, declined and subsequently revalorised over time. Changes initiated through redevelopment, from large-scale public renewal to alterations and renovations by individual owner-occupiers, are long-standing signifiers of reinvestment (Montgomery, 1992; Munro & Leather, 2000; Whitehand & Carr, 2001). Our concern here relates to a particular form of incremental suburban renewal: the increasing significance of private ‘knockdown rebuild’ (KDR) activity. KDR refers to the wholesale demolition and replacement of single homes on individual lots. We are interested in the scale and manifestations of this under-researched process and, in particular, the new insights offered to debates regarding gentrification, residential mobility and choice, and in turn, potential implications for metropolitan housing and planning policy. Our focus is Sydney, Australia.

The purpose of this paper is on developing and implementing a model which provides a fuller and more comprehensive reflection of the interaction of house prices at the suburb level.

The authors examine how changes in housing prices evolve across space within the suburban context. In doing so, the authors developed a model which allows for suburbs to be connected both because of their geographic proximity but also by non-spatial factors, such as similarities in socioeconomic or demographic characteristics. This approach is applied to modelling home price dynamics in Melbourne, Australia, from 2007 to 2018.

The authors found that including both spatial and non-spatial linkages between suburbs provides a better representation of the data. It also provides new insights into the way spatial shocks are transmitted around the city and how suburban housing markets are clustered.

The authors have generalized the widely used SAR model and advocated building a spatial weights matrix that allows for both geographic and socioeconomic linkages between suburbs within the HOSAR framework. As the authors outlined, such a model can be easily estimated using maximum likelihood. The benefits of such a model are that it yields an improved fit to the data and more accurate spatial spill-over estimates.

The transition to adulthood involves risk. In the 90s, sociologists have focused on the question of understanding and managing this risk. Much of this research has tried to go beyond family characteristics and examine the possible role of community or neighborhood. Furstenberg (2000) concludes, however, that the research “on adolescent behaviors has not shown a strong impact of the quality of neighborhoods, independent of the demographic characteristics of the resident families” (p. 902). The exploratory research reported in this paper on suburban neighborhoods, however, suggests that the neighborhood may have effects that have not yet been fully examined. Two problems with the previous research are highlighted. First is the problem of the definition of neighborhood in contrast to community, a continuing problem in neighborhood research. The second is that this research has largely focused on urban neighborhoods; the success of adolescents in suburban neighborhood contexts has not been highlighted. The result is that the focus of these studies has been more on poverty; this paper, however, will focus on inequality in contrasting the situation of adolescents in white suburban neighborhoods to that found in the inner city.

Residential price levels in Spain vary broadly among markets. Real estate theory explains that prices depend on market characteristics such as vacancy level, land availability, construction supply elasticity to respond to high or low speed to changes on the demand, as well as potential for economic growth, industrial and services activities located inside urban areas, etc. An analysis of prices in Spanish main cities shows that tensions appear to exist in some of them where economic activity shows different dynamism and price level appears to be independent of it. This paper tries to find evidence of the existing relationship between residential prices and economic and demographic factors that are demand determinants such as wages, migrations and productive structure, among others, to explain price formation in Spanish cities. It uses panel data and GLS methodology applied to 71 main Spanish province capitals and cities with more than 100,000 inhabitants. The results show evidence of determinants of housing prices and how some relationships appear to exist between price levels and families’ waged income as well as with population and productive structure in Spanish cities.

The purpose of this study is to examine the causal impact of international immigration inflows on housing prices at the state level in Malaysia from 2007 to 2018.

Hedonic regressions using both fixed effects and first difference approaches are used to estimate the impact of immigration inflows on house prices in Malaysia. This study deals with potential endogeneity of immigrants’ choices of destination states in Malaysia by using a shift-share instrument variable approach. Specifically, historical shares of immigrants in a state are used to predict current immigrant inflows to a particular state. The predicted value of immigration flows is then inserted into the house price regression models in place of the actual immigration flows.

Using annual data for 14 states from 2007 to 2018, this study documents the positive impact of immigration inflows on house prices in Malaysia. The authors find that a 1% increase in immigration inflows is associated with an increase of 10.2% (first difference) and 13.4% (fixed effects) in house prices. The economic impact is larger in magnitude than that found in developed countries. Contrary to existing studies that find immigration inflows to be associated with native flight, the authors find support for the attraction effects hypothesis, where immigration inflow is positive and significantly related to net native flows.

The effects of immigration inflows are economically significant, considering that the effects are 10 times larger than those documented in the USA. Policymakers in Malaysia ought to monitor house price trends in immigrant-popular states to ensure that natives are not priced out by new immigrants.

To the best of the authors’ knowledge, this is perhaps the first study to focus on the relationship between immigration inflows and house prices in Malaysia. Focusing on Malaysia has at least two originality aspects. First, Malaysia is relatively not an immigrant-popular destination. Second, Malaysia has a multiracial and heterogenous society among its natives. The findings, obtained within these two settings, would therefore provide a wider scope of result generalization, and natural experiment grounds for causal implications of our results.

Understandings of house prices and their interrelationships have undoubtedly drawn a great amount of attention from various market participants. This study aims to investigate the monthly newly-built residential house price indices of seventy Chinese cities during a 10-year period spanning January 2011–December 2020 for understandings of issues related to their interdependence and synchronizations.

Analysis here is facilitated through network analysis together with topological and hierarchical characterizations of price comovements.

This study determines eight sectoral groups of cities whose house price indices are directly connected and the price synchronization within each group is higher than that at the national level, although each shows rather idiosyncratic patterns. Degrees of house price comovements are generally lower starting from 2018 at the national level and for the eight sectoral groups. Similarly, this study finds that the synchronization intensity associated with the house price index of each city generally switches to a lower level starting from early 2019.

Results here should be of use to policy design and analysis aiming at housing market evaluations and monitoring.

The case of metropolitan Doha presents a unique study that has witnessed several transition phases in the urbanization process. It has embarked in massive urbanization processes as part of the national planning vision. Nationals constitute 11% and expatriates constitute 89% of the total population of Qatar, which is environed by the government to manage the economic dynamism. Housing choice reflects the joint influences of government policies, housing market conditions, and personal factors such as housing preferences and the income level. The paper aims at studying housing choices for nationals and expatiates in metropolitan Doha through assessing the factors that limit housing choice for nationals and expatriates, providing policy recommendations to address the demand-supply gap in the market, and propose housing distribution in view of the developed housing choice framework. Three tools have been used: content analysis of reference data, questionnaire survey of housing preferences, and qualitative interview of experts' perceptions. This study has provided qualitative data on the issues of housing distribution and expansion in relation to housing choices. It has concluded baseline information for the nationals and expatriates housing distribution and the demographic dilemma.

Although rental housing has historically maintained a peripheral position within the community-building sphere, the current economic volatility is evidence of how imbalanced housing policy can impact overall stability, particularly among low-income people within low-income communities. Economic and other macro-environmental shifts will have lasting and poignant impacts on low-income geographies; therefore, the state of rental housing within the context of urban neighborhoods will continue to be a critical policy matter. This research explores whether the low-income housing tax credit (LIHTC) program encourages the development of housing with the physical and operational attributes that strengthen low-income neighborhoods. Given the program's growing dominance, this study analyzes whether specific characteristics associated with neighborhood revitalization are prevalent in LIHTC properties located within qualified census tracts. Also examined are the methodologies among nonprofit developers and for-profit developers relative to these development characteristics.

The findings indicate that properties under 50 units are more likely to be located within suburban qualified census tracts. Within the urban core, the results reveal that qualified census tract LIHTC developments are more often serving extremely low and low-income families. The research outcomes also show that nonprofit developers are more likely to serve lower incomes and utilize certified property management agents for these properties. Given the unique needs of urban and suburban low-income neighborhoods and a national environment that portents a growing dependence upon the LIHTC, the findings suggest that both enhanced coordination between state, regional, and local interests and innovation in resource allocation policy are critical to erasing the neighborhood divide that marginalizes low-income people in low-income communities.

Single-family houses are a common form of housing in Europe. Most were built in the context of the suburbanization after World War II and are now facing challenges arising from generational changes as well as increasing living and energy standards. According to the hypothesis of this paper, in several EU regions, single-family houses may face future challenges arising from oversupply and lack of adaptation to current demand. To examine this, the paper analyses the present situation and discusses the prognosis for the challenges described above regarding the three neighbouring north-western European countries Belgium, Germany, and the Netherlands, based on available data and a review of country-specific characteristics of housing markets as well as national policies. Despite an impending mismatch between demand and supply, planning policies still support the emergence of new single-family houses. The comparison of Belgium, Germany, and the Netherlands shows the growing polarization between shrinking and growing regions and central and peripheral sites apparent at different stages in the three countries. While a high rate of vacancies is already registered for some regions in Germany, in the Netherlands this phenomenon can only be seen near the borders and in villages within the Randstad conurbation. In Belgium also, this phenomenon is not yet widespread, but in some suburban neighbourhoods dating from the 1950's and 1960's more and more single-family houses are becoming more difficult to sell, indicating an emerging mismatch between supply and demand. This article proposes some instruments which enable municipalities to intervene in single family housing neighbourhoods which are largely dominated by private ownership. These instruments are not yet widely established in single-family housing neighbourhoods but that may become important in the future.