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This study aims to investigate the impact of housing knowledge, housing challenges and housing policy on the renting intention and satisfaction of young people.

A questionnaire survey helped collect data from young people in the study area, which were then analysed using the Statistical Package for the Social Sciences (SPSS) 27 software. A descriptive analysis and the Cronbach’s alpha test were adopted to analyse the data. The confirmatory factor analysis confirmed a significant relationship between housing knowledge, housing challenges and housing policy and renting intention and satisfaction.

The overall findings revealed that most young people intend to own a home one day, and a minority of them decided to continue renting. The findings suggest that there is a significant relationship between housing knowledge and housing intention. However, housing challenges and housing policies do not appear to impact renting intentions. On the other hand, housing knowledge and housing challenges were found to be associated with housing satisfaction, while housing policy does not show a significant relationship.

This study, however, poses limitations as it uses a limited model and location and involves only a cross-sectional study. Future studies can use the methodology used in this study to conduct further investigations on housing intention and satisfaction in other regions of the country, thereby validating the findings of this study.

In terms of practical implications, this study has made a valuable contribution to the field of housing literature by shedding light on two crucial elements, namely, housing intention and satisfaction, which have been understudied. Understanding the determinants of housing intention and satisfaction is vital in efforts to implement appropriate policy reforms.

Findings from this study offer valuable insight related to managerial and practical implications, with the former implicating a need to prioritise initiatives that enhance renters’ housing knowledge. Implementing educational programmes and providing accessible resources can empower renters with a better understanding of the rental process and other important housing information.

This paper is relevant because it provides a guideline for policymakers to initiate regulations concerning housing and implement appropriate policy reforms. This study can also help housing providers develop more affordable housing that meets the needs of young people currently renting because most have expressed their housing intentions. Understanding housing intention and satisfaction determinants is vital to implementing appropriate policy reforms.

I would like to be able to report that the film Salmer fra kjokkenet (Kitchen Stories) (dir. Bente Hamer, 2003) was a direct consequence of the powerful arguments I made for the use of ethnography in housing studies almost 20 years ago (Franklin, 1990). Sadly, I cannot! In this touching comedy drama from Norway, a team of Swedish ethnographers working from the Swedish Home Research Institute descend on a remote rural locality in Norway during the 1950s in order to study the kitchen habits and cultures of single living men. It is an improbable quest, until one learns that the same team discovered how Swedish housewives needlessly walk the equivalent distance between Stockholm and the Congo every year as they go about their routine kitchen business; a finding that successfully paved the way for more efficient kitchen design and culture. So it was that the team descended on the very perplexed and uncooperative Norwegian bachelors (the last sub-group in their programme) in order to map out their domestic inefficiencies. Comic tension is built both through their ethnographic props (the researchers were to sit on giant stools in the kitchens, giving them panoptic vision), rules (they were not to talk to respondents, although that proves awkward when lights are turned out by thrifty Norwegians) and living spaces (they were to live in specially designed, round caravans parked outside their respondent's homes). The film would have been a vindication of my arguments not so much because it demonstrates the truth that practical housing outcomes can arise from spending sufficient periods of time studying cultural milleux, but because it also demonstrates that the relationship between researchers and respondents become more productive over time, resulting in more reliable data, better understandings of that millieux and what their problems (and therefore often ‘ours’) actually consist of.

Human beings need shelter as the beginning of their existence. Same holds true for people who live in Turkey as it is a cultural and traditional reason to be the host and endeavor to buy a home even if one has to pay the debt for years. Another factor that is important for individuals and even for countries is the inflation rate. In this context, the purpose of this study is to investigate whether the 26 regions of Turkey are affected by the inflationary pressure, specifically in the housing price index (HPI).

For this purpose, data from 2010:01 to 2019:01 and the consumer price index (CPI), as well as HPI have been used. The causal relationship between the variables is analyzed by Konya Causality (2006) test.

The key results suggest that HPI causes inflationary pressures in some regions.

The study has some limitations in terms of data set and scope. These are as follows: although there are many variables affecting housing prices, this study aims to investigate the causal link between inflation and housing prices. In addition, only the CPI and HPI variables were provided on a monthly basis in the 2010-2019 period for 26 regions due to the aim of making regional propositions in the investigation of this relationship. For these reasons, different macroeconomic variables could not be studied.

This study makes the following contribution to the literature. While the majority of existing literature investigates the relationship between housing prices and inflation from an empirical perspective for country, very few studies have been for the sub-regions and also these studies have focused on only some sub-regions. In other words, in the literature review, a study has observed that Turkey has to examine the relationship between the housing price and inflation variables for all sub-regions in particular. To overcome this deficiency in the literature, this study aims to investigate the relationship between housing price and inflation for 26 regions.

In India – the largest democracy and second most populated country globally – the housing research domain is relatively under-researched and under-theorized. To support and advance research in this domain, this study aims to form and organize the repository of extant academic knowledge in the subject matter of housing research in India.

This study uses a scoping review methodology and a thematic analysis method. All the articles analyzed in this study were systematically searched by following the scoping review approach proposed by Arksey and O’Malley (2005). An initial search found 365 articles and finally, 108 articles that met the inclusion criteria were analyzed using the thematic analysis method.

The data extracted from these 108 articles were analyzed using thematic analysis to arrive at four thematic areas, namely, housing policy, slum housing, housing finance and affordable housing. These thematic areas and 11 sub-themes present under them were used to present a thematic map of housing policy research in India.

This paper contributes to presenting an up-to-date literature review of the housing policy research in India.

To the best of our knowledge, this scoping review focused on housing research in India is the first of its kind. We hope that this study provides a repository of extant research on housing research in India to help current and future researchers.

The purpose of this paper is to examine whether the house prices in Finland share financial characteristics with assets such as stocks. The studied regions are 15 main regions in Finland over the period of 1988:Q1-2018:Q4. These regions are divided geographically into 45 cities and sub-areas according to their postcode numbers. The studied type of dwellings is apartments (block of flats) divided into one-room, two rooms and more than three rooms apartment types.

Both Ljung–Box and Lagrange multiplier tests are used to test for clustering effects (autoregressive conditional heteroscedasticity effects). For cities and sub-areas with significant clustering effects, the generalized autoregressive conditional heteroscedasticity (GARCH)-in-mean model is used to determine the potential impact that the conditional variance may have on returns. Moreover, the exponential GARCH model is used to examine the possibility of asymmetric effects of shocks on house price volatility. For each apartment type, individual models are estimated; enabling different house price dynamics, and variation of signs and magnitude of different effects across cities and sub-areas.

Results reveal that clustering effects exist in over half of the cities and sub-areas in all studied types of apartments. Moreover, mixed results on the sign of the significant risk-return relationship are observed across cities and sub-areas in all three apartment types. Furthermore, the evidence of the asymmetric impact of shocks on housing volatility is noted in almost all the cities and sub-areas housing markets. These studied volatility properties are further found to differ across cities and sub-areas, and by apartment types.

The existence of these volatility patterns has essential implications, such as investment decision-making and portfolio management. The study outcomes will be used in a forecasting procedure of the volatility dynamics of the studied types of dwellings. The quality of the data limits the analysis and the results of the study.

To the best of the author’s knowledge, this is the first study that evaluates the volatility of the Finnish housing market in general, and by using data on both municipal and geographical level, particularly.

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.

To reduce rates of homelessness, recent efforts have been directed toward developing non-conditional supported housing programs that prioritize the delivery of housing support and individual services, without tenancy conditions (i.e. maintaining sobriety and adhering to mental health treatment). As promising as these programs are, findings generally show that while housing stability is improved, other individual outcomes remain largely unchanged. No review to date has synthesized the collective evidence base of non-conditional housing programs, rather the focus has been on specific programs of delivery (e.g. Housing First) or on specific population groups (e.g. those with mental illness). The purpose of this paper is to evaluate the extent to which non-conditional housing interventions improve housing and well-being outcomes for all persons.

A systematic search of the literature was conducted for randomized controlled studies that evaluated the effectiveness of a non-conditional housing intervention in improving housing and health outcomes among any participant group.

A total of 31 studies were included in this review. Non-conditional supported housing programs were found to be most effective in improving housing stability as compared to health and well-being outcomes. Policymakers should consider this when developing non-conditional supported housing programs and ensure that housing and other health-related outcomes are also mutually supported.

This is the first review, to the authors’ knowledge, to synthesize the collective impact of all non-conditional supported housing programs. The current findings may inform the (re)design and implementation of supported housing models to prioritize the health and well-being of residents.

The general aim of this research is to investigate residents' perception of the quality of public housing and factors influencing this in Ogun State Southwest Nigeria. This is in view of a paucity of published works on this subject matter and the need to upgrade the quality of public housing in urban areas in Nigeria.

Data for the study were collected through a cross sectional survey of proportionately selected 517 household heads in newly constructed public housing estates, and 90 staff members of four key public housing agencies in urban areas of Ogun State, Nigeria. Structured questionnaires were used in the collection of primary data. Descriptive statistics and categorical regression analysis were used in data analysis.

The results show that a majority of the respondents rated their current residential environment low on the quality scale. Whereas housing unit attributes were rated highest, neighbourhood facilities were rated very low on the housing quality scale. Housing delivery strategies, spatial deficiencies in housing units, organizational capacity of housing providers, age, income, education and tenure status of residents were found to be among the key factors influencing residents' perception of housing quality in the study area.

The survey was concentrated on newly constructed public housing by Ogun State government in selected urban areas. Other studies can examine housing constructed by the Federal Government of Nigeria in the study area.

Lack of access to housing services, infrastructure and neighborhood facilities accounts for poor quality of public housing in the study area. This can be improved through adequate provision of basic social amenities, organizational capacity building and adoption of appropriate housing delivery strategies by public housing providers.

A framework for studying the quality of public housing in Nigeria and other countries has been developed. The findings can assist public housing policy makers and programme managers to improve on the quality of public housing and services.

This study aims to investigate the effect of immigration on housing prices in Australia both at the national and regional levels.

Data for eight Australian states on a quarterly basis from 2004–2017 is used. To study the possible dynamic and endogenous relationship between housing prices and immigration, a panel vector autoregressive error correction model (PVECM) is adopted.

Analysis of the results indicates that in the short run immigration positively and significantly affects housing prices, whereas in the long run no significant relationship was observed between the two variables. From the regional breakdown and analysis, it is discerned that in some states there is a significant and positive effect of immigration on residential real estate prices in the long run. Causality analysis confirms that the direction of causation is from immigration to housing prices.

The study illustrates that immigration and interstate migration, as well as high salaries, have been causing a rise in housing demand and subsequently housing prices. To monitor exceedingly high housing prices, local authorities should be controlling migration and salary levels.

Past research studies had highlighted the importance of native interstate migration in explaining the nexus between immigration – housing prices. In this study, it has been empirically verified how immigration has been affecting the locational decisions of natives and subsequently how this has been affecting housing prices.

This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM).

The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices.

The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18.

This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.