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After decades of relative stagnation, American housing policy is now several years into a period of radical change and experimentation. In California, where I am policy director for the state-level organization California YIMBY (Yes in My Backyard), city planners will often gripe (with, I have to admit, some justification) that state housing law is changing too quickly for them to keep up. Several other states—including Washington, Montana, Colorado, Arizona, Florida, and Rhode Island—have enacted their own ambitious housing reforms, with more following each year. Cities like Minneapolis, Sacramento, Austin, and Spokane have redrawn their zoning maps and removed non-zoning barriers to housing production such as minimum parking requirements; meanwhile, New York City is moving ahead with its prohousing "City of Yes" plan, though its ultimate fate remains uncertain. [ABSTRACT FROM AUTHOR]

In many parts of the country, rising rents have hit a political limit, as politicians, unions, and community organizations increasingly recognize the centrality of housing to the cost-of-living crisis. New York State's 2019 Housing Stability and Tenant Protection Act, San Francisco's 2022 collective bargaining ordinance for tenants, and Los Angeles's 2022 "mansion tax" represent new forces in local politics—and alternative bases for the struggle over power within our society. These initiatives use the state to reshape the business models and ownership patterns pushing workers and their families further away from their jobs, into smaller, more expensive living situations. [ABSTRACT FROM AUTHOR]

This research pairs point-in-time counts of adult homelessness prepared between 2015 and 2019 by 315 local housing assistance providers with data from the U.S. Census Bureau and other sources to quantify the impacts of regulatory and physical housing supply constraints on adult homelessness rates. The results from several random effects regression models suggest that a one standard deviation increase in the restrictiveness of local land use regulations directly increases the adult homelessness rate by between 9 and 12%, depending on the type of constraint. These estimated effects are uniformly smaller in magnitude than those which assume that constraints on housing supply influence homelessness indirectly through increased rents. These findings point to a need for greater coordination between land use planners and homeless assistance providers. [ABSTRACT FROM AUTHOR]

Introduction. The concentration of population and economic activity in agglomerations is primarily due to comfortable living conditions and developed infrastructure. At the same time, the issues of housing development in recent years have gone beyond the discussion of the problems of development of the construction industry and have become the subject of spatial development research. Housing stock and infrastructure facilities in the periphery do not correspond to demographic and migration processes. Thus, there is a need to develop analytical tools capable of planning a balanced infrastructure of the region.Materials and methods. Two research methods were used to investigate the set tasks: 1) studying the dynamics of key indicators of the region’s development; 2) calculation of the value of indices reflecting the concentration of the studied indicator (Herfindahl – Hirschman index — for the volume of housing construction, population concentration and the number of jobs; concentration coefficient of economic activity indicators).Results. The analysis of the main factors has shown that the long-term growth of the share of the population older than working age occurs in parallel with the growth of the population younger than working age. This imbalance is certainly the achievement of the state’s priorities in the field of improving the quality of life of the population through the introduction of social support measures for elderly citizens and young families. In agglomerations, jobs are technological and productivity is higher. Residence in the metropolitan area is considered not only as a place of work but also as a comfortable place to live.Discussion and Conclusion. The study of the regions of the Republic of Tatarstan allowed to show a complex situation with spatial development of the region — concentration in agglomerations and destruction on the periphery. In this regard, the study of agglomeration processes should become one of the elements of the national regional policy.

During the COVID-19 pandemic, Work from home (WFH) received much public attention. Imposing such a measure was feasible in the context of labour markets' flexibilisation, which has reshaped urban live-work relationships. However, the pandemic's effects on those relationships have rarely been explored in housing and planning studies. This paper draws a research agenda based on a literature review of the changes in urban live-work relationships, which were accelerated and legitimised under COVID-19. The latter is considered an exogenous shock contingent upon several other shocks, embedded in structural crises and accelerating ongoing trends. The literature confirms the acceleration of hybrid work for those able to do so, which has fuelled debates on home usage and legitimated planning discourses based on urban proximity, densification and mixed use. Hence, we encourage critical research on (i) the conceptualisations of WFH and COVID-19, (ii) housing policy responses to accumulated uncertainties and regulations for quality and resilient housing, and (iii) the critical analysis of WFH-oriented planning. [ABSTRACT FROM AUTHOR]

This study compares the inter- and intra-metropolitan patterns of housing return volatility in four market phases (boom, bust, recovery, and pandemic) in the United States between 2000 and 2022. The study finds a weak correlation between the physical characteristics of neighborhoods and housing market volatility. Notably, higher-density neighborhoods show greater market volatility throughout the boom, bust, and recovery phases but the trend is reversed during the pandemic period. However, the sociodemographic composition of neighborhoods exhibits a stronger correlation with market volatility. Specifically, housing markets in Black neighborhoods demonstrate persistently higher volatility, irrespective of market fluctuations. Similarly, low-income neighborhoods are consistently associated with greater volatility before the pandemic. The study does not find a consistent association between housing supply and market volatility across the four market phases. It shows that during the 2008 housing downturn, housing markets were less volatile in metropolitan areas with stricter land use regulations, less developable land, fewer home constructions, and better natural amenities. [ABSTRACT FROM AUTHOR]

Upzoning and land‐use reform are widely discussed as a way to improve housing supply and affordability. However, some literature contests this view and leads to apparent contradictions. We consider the theoretical frameworks and literature underpinning these divergent views in the hopes to establish mutual coherence, as well as questions for further research and the nascent but growing literature of empirical studies that could evaluate them. [ABSTRACT FROM AUTHOR]

This study uses time series regression models and dynamic panel models of five-class housing to investigate the dynamics of the housing price-vacancy relationship in Hong Kong, offering insights distinct from previous cross-sectional analyses that take new housing completions as a supply proxy, without considering vacant homes as a source of housing supply. Two major contributions emerge: first, the results support the hypothesis that housing vacancies exert a negative impact on housing prices, holding other factors constant. Second, new builds supply is found to have a positive effect on housing prices, which is in line with many previous studies, but it contradicts the prediction. The results challenge the use of land supply or new housing completions as the proxy of housing supply and put forward a novel suggestion of including vacant homes in the housing price analysis. Advanced approaches to collecting housing vacancy data are also discussed. These findings have significant implications for policymakers, urban planners, and real estate investors, providing valuable insights for crafting targeted interventions and informing investment decisions. This is one of the first time series and dynamic panel analyses of housing vacancy's effect on prices. [ABSTRACT FROM AUTHOR]

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Introduction. The high influence of territorial, agroclimatic, infrastructural and other factors causes significant economic differentiation at the regional level. The proven influence of the economy’s condition on construction activity leads to the conclusion that differences in the economic level of development also give rise to stratification in the housing construction sector across the constituent entities of the Russian Federation. Еmpirical analysis. Continuing the authors’ work on this topic, we will expand the work of previous researchers by searching for the most dependent indicators of housing construction of economic development. To do this, we introduce per capita indicators into the calculation, as well as growth indices for indicators over a long (more than 20 years) period of time. Results. During the work, it was established that a high degree of housing construction dependence on GRP is observed only in current values for a certain year (in our case, 2022), while per capita indicators do not show a significant level of correlation. One can also note the mutual dependence of the housing stock and GRP growth dynamics (growth indices for both indicators). For other indicators, the quality of correlation models is unsatisfactory, which indicates the absence of mutual connection. Cluster analysis demonstrated a high level of regional differentiation in housing construction indicators and related indicators of economic development. Only 10 subjects of the Federation can be classified as prosperous regions with a high level of housing construction. The remaining regions, due primarily to economic factors, do not demonstrate high-quality development of housing construction.

This paper examines the state of affordable housing in England, with a focus on regional variations in space standards and standardized dwelling layouts widely used by volume housebuilders. Space standards are not statutory and therefore adopted inconsistently across development types or building typologies in England. The study draws on data obtained from planning applications, analysing 153 housing developments and 9876 newly constructed affordable housing units from different regions in England that were completed and marketed in 2021. Based on this, the study compares space standards and their effectiveness as well as the use of standardized unit types. The analysis reveals that apart from London, the most recent Nationally Described Space Standard (2015) is not yet widely used. Instead, Housing Quality Indicators that preceded the new national standards continue to be the norm for houses built outside of London. The findings demonstrate that there is a high level of standardization in affordable housing in terms of dwelling size and layout, with widely used standard house types often determining the design and size of dwellings more than space standards. [ABSTRACT FROM AUTHOR]

AbstractEstate renewal has come to be touted as a means of improving social housing supply both qualitatively and quantitatively, replacing ageing and under-maintained dwellings and increasing the total stock of social housing. In this paper, we examine the latter claim. We develop novel measures and methods for calculating the social housing supply impacts of estate renewal, taking account of the reduction in supply caused by tenant relocations and dwelling demolitions prior to the delivery of new social housing. Using administrative data on tenant relocations and dwelling completions for three projects in Sydney, we calculate the social housing accommodation deficit caused by the renewal process, subsequently, the time required for each project to deliver more nights of accommodation than this deficit. These measures illuminate the significant impacts of estate renewal on the social housing system and problematize its justification based on gross or net social housing supply. They constitute a valuable method for examining estate renewal, wherever it may occur. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has initiated more telecommuting (or working from home) than ever. This paper provides an economic analysis of the impacts of telecommuting on the residential location choice equilibrium. In particular, this paper employs a simplified monocentric city model of urban spatial structure to analytically examine the impacts of telecommuting on residential location choices and the associated commuting pattern in a city, considering that telecommuting may have positive, zero, or negative impact on individual income level. We found that the income effect of telecommuting and its relative magnitude against the commuting cost govern whether telecommuting will attract more to live in the suburb or the downtown. Moreover, the impacts of housing supply and commuting costs on the residential location choice equilibrium are dependent on the level of telecommuting, where such impacts diminish when the level of telecommuting increases. Furthermore, this paper derives and examines analytical solutions for the optimal level of telecommuting, the optimal housing supply and the optimal transport investment (that reduces commuting cost) in order to improve social welfare or the housing operator's profit in the context of telecommuting. How these optimal solutions are related to the level of telecommuting is also analyzed. This study provides understanding on how telecommuting may affect the joint equilibrium of residential location choice and commuting and how housing supply and transport investment should be adjusted in response to telecommuting. • This paper analyzes the impacts of telecommuting on residential location choices. • The income effect of telecommuting affects where to live. • We analyze the optimal telecommuting level, housing supply and transport investment. [ABSTRACT FROM AUTHOR]

We document how a select set of large and growing metropolitan areas have accommodated growth in their housing supply over 40 years. In particular, we examine how housing provision has evolved for the largest four metropolitan statistical areas (MSAs) in California and Texas. Despite differences in their topographies and regulatory environments, we find several common dynamics. As these MSAs grow, we see that fewer new net units are built at the periphery and a smaller share of the new units are built as single‐family detached houses. As a greater share of new net units are built in infill locations, more units are built using higher‐density—and more costly—multifamily housing construction techniques. Interestingly, we see these housing supply patterns in both "pro‐growth" MSAs and "highly regulated" MSAs. Among all of our sample MSAs, we also find a declining share of Census tracts that participate in accommodating growth. Our results are consistent with the existence of a convex housing supply curve. We believe that this secular trend will pose genuine challenges to many urban housing policies aimed at improving affordability. [ABSTRACT FROM AUTHOR]

We report estimates of supply and demand elasticities for houses (i.e., non-strata properties) in three geographic locations of Sydney. In the Inner Ring of Local Government Areas (LGAs)—those closest to the Central Business District (CBD)—our estimates indicate that the supply curve for houses is perfectly inelastic. This finding allows us to condition on the stock of houses and estimate the corresponding Inner Ring demand curve using ordinary least squares. In the Middle and Outer Rings—where the supply curve for houses has positive elasticity—we use instrumental variables to estimate the demand curve for houses. For all three locations, we obtain theoretically reasonable point estimates of standard demand elasticities, although the degree of uncertainty surrounding the Outer Ring estimates is relatively large. Averaging across the three regions of Sydney, the price elasticity of demand for houses is −1.3, cross-price elasticity with units is 1.1, and income elasticity is 2.1. Based on our elasticity estimates, only in the Outer Ring are any of the direct burdens of stamp duty born by buyers (about 40 percent). [ABSTRACT FROM AUTHOR]

This study explores house price fluctuations in the USA and shed light on which factor is the main contributor driving house prices. In order to decompose the changes in house prices, structural vector autoregression with sign restrictions for the US housing market is applied. In addition to including housing market-based fundamental variables such as the number of housing permits, housing rent prices, house prices, a measure of credit conditions, and the housing sentiment index are also included to distinguish four different shocks, namely housing supply shocks, shocks to the housing service demand, credit shocks, and speculative demand shocks. Empirical findings show that the main contributors to house price fluctuations are credit shocks and housing supply shocks in the long-run. In addition, while housing supply and credit conditions are the most important contributors during the boom, the contributions of credit conditions and speculative demand become larger after the boom. In fact, credit conditions are the largest contributor during the post-boom period. [ABSTRACT FROM AUTHOR]

This study explores integration and risk transmission in the Chinese (residential) housing market using variance decompositions from the vector autoregression model. The study covers the period from January 2000 to September 2022. The results indicate that short-term total connectedness changes over time and is significantly larger than long-term connectedness, suggesting that total connectedness is sensitive to time-specific developments and short-term events. Supply-side shocks typically lead demand-side shocks in the long term. However, because of changes in the economy, market conditions, government policies, and investor sentiment, the direction of short-term risk transmission between supply and demand sides varies. Moreover, long-term shocks usually flow from housing prices to the supply side and from the demand side to housing prices. In the short term, prices alternately affect the supply and demand sides of the housing market at different points in time. This study also supports the predictive ability of connectedness measures for macroeconomic conditions, suggesting meaningful implications for investors, real estate developers, and policymakers. [ABSTRACT FROM AUTHOR]

Our research into the fast-growing segment of the rental market fits perfectly with the current wave of excitement. In this research, we attempt to answer a fundamental question: how large is the rental segment in Poland? To our surprise, the answer to this key question remains wrapped in mystery, with an absence of continuous studies disclosing its true size.

We empirically document that the effectiveness of the German rent control introduced in 2015 in achieving rental housing affordability is limited. Exploring the reasons for this limited effectiveness, we focus on the impact of the rent control on the yield on rental housing investments proxied by rent‐price ratios, which we derive by predicting sale prices to rental objects based on a hedonic model using micro‐level quotes on rental and sale listing. Exploiting the temporal, regional, and object‐specific variation generated by the design of the rent control, we identify a causal negative effect of the rent control on the yield of rental objects subject to the regulation. Furthermore, we zoom into the spillovers across regulated objects and objects in the affected markets that were exempt from the regulation and find rising yields for the exempted objects, suggesting that the regulation contributed to gentrification via a shift of rental housing supply away from the regulated segment. [ABSTRACT FROM AUTHOR]

This article explores the determinants of floor area ratio (FAR) limit, a major form of construction density regulation, in China. I develop a spatial equilibrium framework to study local governments' optimal FAR design and investigate over 400,000 residential land transactions between 2007 and 2019 to perform the empirical analysis. Exploiting the exogenous variations generated by administrative adjustments and applying a propensity score matching approach, I find that a one standard deviation increase in local budgetary revenue decreases FAR limits by 0.29. Further counterfactual analysis suggests that the land finance model contributes to housing affordability issues and spatial inequality in China. [ABSTRACT FROM AUTHOR]

Murray and Gordon argue against mass upzonings that are unaccompanied by value capture tools based on the grounds that (a) cities are giving away valuable public air rights to private property owners when undertaking mass upzoning and thus (b) cities should employ value-capture policies to avoid complete privatization of public air rights. I first add a cautionary note that development of value capture strategies must be grounded in country-specific political, cultural, and legal contexts. To spark further scholarly and policy debates, I develop two propositions in response to the article. First, I contend that mass rezoning may be justifiable in the United States even if this means valuable public air rights are privatized. Second, I posit that mass rezoning is not only justifiable but also one of the most cost-effective and least risky policy solutions for tackling housing affordability and supply challenges in the United States. I conclude by suggesting directions for future research on upzoning and value capture. [ABSTRACT FROM AUTHOR]

A popular but contested view is that mass rezoning is an essential policy measure to address housing affordability. Often obscured in debates about this measure is that rezoning involves the privatization of public space. We clarify the nature of the policy by recognizing that property rights over land are, conceptually, a bundle of socially negotiated rights to parcels of airspace. This view shows that rezoning to provide rights to airspace for existing landowners is not costless. It involves transferring valuable property rights from the public to existing private landowners for free, creating a more unequal distribution of property rights ownership without necessarily generating faster housing development. We argue that giving away public rights to airspace should not be done for free and explore what policy measures retain value from residential rezoning for the public. [ABSTRACT FROM AUTHOR]

Improving the quality of life is one of the priority tasks of Russia’s social-economic development, which requires solving the housing problem, since housing is one of the basic human needs. Based on the generalization of various approaches to ensuring housing affordability, the article shows that, in addition to the study of social-political and economic aspects, a kind of sociology of housing develops. Based on the results of sociological surveys, the authors identify the preferences of different groups (parents with children and youth) in housing. Thus, 70 % of Russians are ready to use mortgage lending to solve the housing problem. There is a paradox: on the one hand, 66 % of multi-apartment houses cannot be sold; on the other hand, there is a low level of housing supply (lower than in Eastern Europe and some CIS countries) and a high level of dilapidated housing stock and communal infrastructure. Previously, housing conditions were improved mainly at the expense of the state, now the purchase or construction of housing is ensured mainly by the population’s savings and borrowed funds, primarily mortgage lending. However, despite the growth in the volume of mortgages and their improved conditions, the housing affordability coefficient for 2000-2022 indicates a deterioration in housing possibilities. This is explained, first, by the low level of incomes and their significant differentiation - only a small share of Russians can take advantage of mortgage lending; second, housing prices grow much faster than incomes and wages. In addition, the low quality of new housing and social infrastructure, a high share of dilapidated housing and of families in need of relocation, and a number of other factors must be taken into account when implementing housing policy and solving the housing problem. The empirical basis of the article is the data of the Federal State Statistics Service, Bank of Russia, National Bureau of Credit Histories and Accounts Chamber.

We empirically analyse the impact of human capital and housing supply on urban growth in the US and China. Integrating the heterogeneity of housing supply helps determine how a positive human capital shock translates into more population, higher house prices, or higher wages. To causally estimate this effect, we use a rich urban-level data set, choose our controls using the post-double-selection methodology, and instrument human capital with the per capita number of historical educational institutions. We find that human capital positively impacts urban population, house price and wage growth. While an elastic housing supply reinforces the impact on urban growth, it reduces house price growth and wage growth. Our results infer that human capital increases productivity in both countries and acts as an amenity only in the US. [ABSTRACT FROM AUTHOR]

This study uses time series regression models and dynamic panel models of five-class housing to investigate the dynamics of the housing price-vacancy relationship in Hong Kong, offering insights distinct from previous cross-sectional analyses that take new housing completions as a supply proxy, without considering vacant homes as a source of housing supply. Two major contributions emerge: first, the results support the hypothesis that housing vacancies exert a negative impact on housing prices, holding other factors constant. Second, new builds supply is found to have a positive effect on housing prices, which is in line with many previous studies, but it contradicts the prediction. The results challenge the use of land supply or new housing completions as the proxy of housing supply and put forward a novel suggestion of including vacant homes in the housing price analysis. Advanced approaches to collecting housing vacancy data are also discussed. These findings have significant implications for policymakers, urban planners, and real estate investors, providing valuable insights for crafting targeted interventions and informing investment decisions. This is one of the first time series and dynamic panel analyses of housing vacancy’s effect on prices.

We report estimates of supply and demand elasticities for houses (i.e., non-strata properties) in three geographic locations of Sydney. In the Inner Ring of Local Government Areas (LGAs)—those closest to the Central Business District (CBD)—our estimates indicate that the supply curve for houses is perfectly inelastic. This finding allows us to condition on the stock of houses and estimate the corresponding Inner Ring demand curve using ordinary least squares. In the Middle and Outer Rings—where the supply curve for houses has positive elasticity—we use instrumental variables to estimate the demand curve for houses. For all three locations, we obtain theoretically reasonable point estimates of standard demand elasticities, although the degree of uncertainty surrounding the Outer Ring estimates is relatively large. Averaging across the three regions of Sydney, the price elasticity of demand for houses is −1.3, cross-price elasticity with units is 1.1, and income elasticity is 2.1. Based on our elasticity estimates, only in the Outer Ring are any of the direct burdens of stamp duty born by buyers (about 40 percent).

Despite the widespread prevalence and economic importance of tall buildings, little is known about how their patterns vary across space and time. We aim to quantify differences across major world regions over time (1950–2020). To do so, we exploit novel data on the location, height (above 55 m), and year of construction of nearly all tall buildings in the world. We propose a new methodology to estimate the extent to which some world regions build up more than others given similar economic and geographic conditions, city size distributions, and other features. Our analyses reveal that many skylines may visually appear more prominent than they really are once one includes all tall buildings and core controls, which alters how regions are ranked in terms of tall building stocks. Using results by city size, centrality, height of buildings, and building function, we classify world regions into different groups, finding that tall building stocks are likely driven by boring skylines of residential high‐rises, and to a lesser extent exciting skylines of skyscrapers and office towers. Finally, land‐use regulations and preferences, not historical preservation nor dispersed ownership, may account for most observed differences. [ABSTRACT FROM AUTHOR]

This paper presents a model of a housing market with a fixed supply of land available for future development. Building density and the rate of land development are both endogenous. Competition amongst atomistic landowners leads to welfare-maximizing development policies. However, a monopolist landowner develops land faster, with lower building density, than a welfare-maximizing social planner. Unless demand is very high, the first effect dominates, because a monopolist landowner increases the size of the housing stock faster than a social planner. Rapid, low-density development is a commitment device. It boosts the monopolist's development proceeds by making it more difficult to flood the market with new housing in the future. [ABSTRACT FROM AUTHOR]

Drastic shifts in prices and housing market trends in recent years, representing shocks to the housing system, have led many residential developers to pause or cancel their projects. In the already heated housing markets of the Greater Toronto Area (GTA), these supply frictions can have ramifications for affordability. Our study formulates a standardized "proforma" model of the profitability of a hypothetical condominium project in the city of Toronto, Canada, scheduled between 2019 to 2023, to explore the combined effect of developers' price expectations and market volatility on developers' decisions. Using the proposed proforma, we first identify the key drivers of development decisions. We then evaluate the impact of the expectation formation of key factors influencing perceived development profitability, including construction costs, sales prices, and interest rates, on the financial feasibility of potential developments. The results highlight that boundedly rational expectations can cause variations in profitability perceptions and potentially reverse development decisions in volatile market conditions. Our results highlight the sources of risk and uncertainty in development decisions, facilitating the recognition of possible solutions to mitigate these risks and increase affordable housing supplies. The proposed model can also enhance the realism of decision models in agent-based representations of land and housing markets. [ABSTRACT FROM AUTHOR]

AbstractThe aim of the current research was to identify the effective factors in the future state of housing planning in Ahvaz metropolis. The research method was applied based on the purpose and descriptive-analytical based on the nature. In this regard, by applying the mutual effects analysis method in Mikmak software, the key factors affecting the housing supply system of Ahvaz City were identified. Finally, the effective factors of the housing supply system in the mentioned city were selected by using the scenario writing method in the software and the scenario wizard was executed. The findings showed that the 7 factors of migration, marginalization, weakening of the value of national currency, low ability to pay loans, increase in land prices, insignificant credit facilities, and lack of an integrated and coordinated management system in the housing sector had the most impacts and key roles in the system. They provided housing in Ahvaz City.Keywords: future research, housing, housing supply, Ahvaz metropolis IntroductionIn recent decades, the cities of Iran have experienced an increasing concentration of population; yet, the weakness of economic management, lack of comprehensive housing planning, and inadequacy of the government's economic infrastructure have caused the problem of housing shortage and inadequate housing supply. The various policies and programs of the government have not led to good results either. The issue of the land market has caused a large part of lands in the capital to be attracted and ultimately, a large number of citizens to be deprived of shelter. Ahvaz metropolis in Khuzestan Province has undergone extensive demographic and spatial changes during the last decade for 3 main reasons: 1) having provincial centrality, 2) becoming a major industrial hub in line with adopting the policy of creating a growth hub, and 3) disrupting the order of the urban network as a result of the 8-year war and destruction of the major partner cities (Abadan and Khorramshahr) in favor of the all-round development of this city. As a result of these factors, the population of this city has had an increase of 120,098 to 1184,788 people during the years of 1956-2016). In the first general census of the country in 2015, Ahvaz had a population of 120,098 people. Therefore, this rapid population growth has caused problems, such as low quality of housing in the city, lack of ownership by a group of citizens, small areas of ​​residential units, etc. Based on this, this research sought to research the future of the housing supply system in Ahvaz metropolis to respond to the current and future needs and solve the existing problems in this city. In this regard, the main goal of the current research was to identify the most important factors influencing the future state of housing planning in Ahvaz metropolis. MethodologyThe main purpose of this research was to identify the most important factors influencing the future state of housing planning in Ahvaz metropolis. Therefore, a descriptive-analytical and survey method was chosen in this research. In the first step, a list of the primary factors that played a role in the housing supply system of Ahvaz City were identified as the research variables by using documentary sources and previous researches, as well as the Delphi questionnaire. The research variables were analyzed based on an expert questionnaire. In the research process, by using the mutual effects analysis method and Micmac software, the influences of the primary factors on each other were evaluated in the form of the expert questionnaire. Finally, by using another questionnaire, the key factors of housing supply in Ahvaz City were selected via the scenario writing method in the Scenario Wizard software. The statistical population of the research included the specialists and experts of the urban area. The size of the studied sample was determined through the theoretical saturation of 30 experts through the snowball sampling method. The validity of the research tool was evaluated by university professors and it was confirmed after fixing the problems and deficiencies. To measure the reliability of the first expert’s questionnaire (analysis of mutual effects) and the second expert’s questionnaire (scenario writing), the questionnaire was completed by 10% of the experts and then, the results obtained from the supervisor could be cited and confirmed. DiscussionThe results showed that 7 key factors played a role in the housing supply system of Ahvaz City. As shown in Figure 3, these factors include migration, marginalization, weakening of the value of national currency, low ability to pay loans, increase in land prices, insignificant credit facilities, and lack of an integrated and coordinated management system in the housing sector. Also, the results revealed that the 3rd scenario was the most optimistic and promising scenario for the housing supply system of Ahvaz City with 5 favorable conditions and a suitable percentage of 42.87%. The 1st and 2nd scenarios were intermediate. The 2nd and 4th scenarios were respectively the most critical scenarios with unfavorable situations for the housing supply system of Ahvaz City. ConclusionHousing is one of the most essential human needs after food and clothing and it is very important for the preservation and survival of the individuals and society. It is related to one of the most basic and sensitive sectors in economic and social development planning. The rapid growth of population in Ahvaz City has caused problems, such as low quality of housing in the city, lack of ownership by a group of citizens, small areas of ​​residential units, inappropriate interference of activities by residing adjacent to the functional zones of the city, especially heavy industries and administrative-service zones, placement of extensive military, industrial, and wasteland uses in the middle of the residential context (one of the main factors of disintegration of the urban structure of this city), existence of the residential formal or informal settlements, like villages outside the legal boundaries and adjacent to the city, which have their own service and infrastructure needs, illegal constructions in the river boundary and encroachment on its bed, etc. In addition, financial and economic inabilities of low-income groups on the one hand and lack of modern planning and appropriate support mechanisms on the other hand have prevented the vulnerable groups from having access to suitable housing. This lack of access has shown itself in various forms of marginalization and ugly urban landscapes and has caused all kinds of social and economic problems. All these clearly reveal the necessity of fundamental change in the planning process from the traditional method based on forecasting trends towards modern planning with a forward-looking approach. Cities need to be planned with a new approach to recognizing the future challenges so as not to be caught off guard in the face of the upcoming challenges and can take control and manage a favorable future condition. References:- Alavi, A., Benari, S., & Samadi, M. (2017). Analysis of quantitative and qualitative indicators of housing in the city of Ahvaz and forecasting the required housing until 2021. Geography and Human Relations, Vol. 1, No. 2, pp. 867-850.- Arvin, M (2014). Survey of urban sprawl with an emphasis on endogenous development (Case study of Ahvaz City). 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Habitat International, 56, pp. 1-10. https: //doi.org/10.1016/j.habitatint.2016.04.003 Figures and Tables- Table 1: Housing provision policies in Iran at different times- Table 1: Population of Ahvaz City during the years of 1956-2016- Fig. 1: Location of the study area (Vice President of Planning and Development of Human Capital of Ahvaz Municipality, 2022)- Table 3: Factors and components affecting the housing supply system of Ahvaz City- Table 4: Descriptive statistics of the respondents' status- Table 5: The direct and indirect effects of the factors on each other- Fig. 2: The distribution diagram of the variables in the impact-affectability axis based on the direct effects- Fig. 3: Factors affecting the housing supply system of Ahvaz City- Table 6: Key factors, situation, and possible assumptions facing the system- Table 7: Status of each of the key factors according to the compatible scenarios- Table 8: Coefficients, number, and percentage of each of the scenarios based on the 3 spectra

Housing prices in Australia have demonstrated strong growth in recent decades, and many argue housing supply is not keeping up with the demand. The Australian government purports to increase the private construction of new houses and availability of rental housing primarily through taxation offsets. However, inflated house prices are also at least partially explained by housing supply shortage. This work studies Australian residential property investors to understand their characteristics and role in contributing to the supply of rental housing. Using rich proprietary loan-level data on over 1.1 million mortgage applications during a period of stable policy and house price appreciation, we study the determining factors for accessing finance for the purpose of residential investment as opposed to owner-occupation. Our findings use historical data to present new evidence of the increasingly non-metropolitan location choice for real estate investment properties. This is a potential explanation for the shortage of suitable housing in metropolitan regions but may contribute to regional development. [ABSTRACT FROM AUTHOR]

Since 2012, the AEI Housing Center has been a leader in cutting-edge data and research on numerous housing market metrics such as mortgage risk, house price appreciation, new construction, and months' supply of inventory. The AEI Housing Center's research on mortgage risk led to the publishing of the stressed mortgage default rate (SMDR), which assesses the riskiness of loans and how loans originated today would fare under similar stress levels to '06 and '07. During the pandemic, loose monetary and fiscal stimulus drove high house price appreciation, which has abated from the 2022 peak and is currently at 1.4%. We estimate that YoY HPA will be about 4% by year-end. Months' supply remains historically tight at 2.4, contributing to the ongoing seller's market. The housing supply shortage in many high demand metros has effectively halted the filtering process, where homes pass to lower-income residents as the structure depreciates, which is critical to ensuring housing affordability. Housing supply constraints and zoning regulations in places such as California interrupt the filtering process, leading to higher housing prices, higher displacement pressures, and greater levels of homelessness. [ABSTRACT FROM AUTHOR]

The US is facing an acute housing supply shortage; the result of years of underconstruction. We argue that there are four major reasons for this: restrictive zoning, high regulatory costs, high building costs, including labor and materials, and financing constraints. We then focus on four specific single family products that could benefit from removing some of these barriers: manufactured housing, modular/panelized/pre-cut housing, accessory dwelling units and housing preservation. We estimate how many units each could add. [ABSTRACT FROM AUTHOR]

Purpose: Houses are durable, so an imbalance between demand and supply occurs after time has passed since initial construction. The purpose of this study is to quantify the extent of this imbalance for existing houses, focusing on the heterogeneity across property segments. Design/methodology/approach: This study uses a unique data set on the "inquiry volume" that each property received from an online real estate portal to measure the volume of demand in relation to supply. Simple regressions are conducted in the resale condominium market across the Tokyo metropolitan area. Findings: The inquiry volume successfully tracked a recent expected trend in which demand relative to supply is stronger for condominiums in reasonably priced areas, condominiums in convenient, accessible locations, condominiums built within the last 20 years and compact and spacious units. This study also confirms that these trends cannot be captured through heterogeneity in price levels, which has been widely used in previous studies on measuring housing preferences. Practical implications: As an indicator of conditions in the housing market, the property-level inquiry volume has strong potential to provide useful information for supply strategies and for the sustainable use of existing housing stocks. Originality/value: The originality of this paper is the use of information on the buyer side, which is typically unobservable. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to make an analysis of the short- and long-term effects of inflation, exchange rate, housing interest rate, industrial production index, total housing loans and housing volume on housing inflation in Turkey, taking into account the multiple structural breaks. Design/methodology/approach: Multiple structural break Lee–Strazicich unit root test, autoregressive distributed lag bound test and Granger causality test based on error correction model were used. Findings: There is both a short- and long-term relationship between housing prices and macrovariables. Housing prices are mostly affected by housing interest rates, housing volume, real exchange rate and total housing loans in the short run. In the long run, it is mostly affected by total housing loans, housing volume and housing interest rates. Research limitations/implications: The variables used in the analysis are: housing price index, consumer price index, dollar rate, housing interest rate, industrial production index, total housing loan amount and domestic loan volume. Because the data that variables started common is 2010:M01, the period starting from this date until 2021:M12 is considered. The research covers only Turkey as a country. Determining the micro- and macroeffects of housing prices can always offer solutions for the problems experienced in housing supply and housing demand. Originality/value: While investigating housing prices, there are no studies in which total housing loans and housing volume are included in the model together. However, it is important to analyze the effect of the current conjuncture, in which there has been constant increases in foreign exchange rates and high inflation in recent years, on housing prices in Turkey. In this study, investigating these effects by using econometric methods that include structural breaks also increases the original value of this study. [ABSTRACT FROM AUTHOR]

This paper explores recent effectiveness of planning interventions in Turkey in transforming market outcomes. It does this through an empirical investigation of the use (or lack thereof) of four types of planning intervention: market shaping, market regulatory, market stimulating and capacity building instruments. The analysis, which is based on in-depth interviews with a range of key market and state actors, demonstrates the limitations of a hierarchical and centralised planning system dominated by a technocratic rationality. This planning system has failed to use the full range of interventions available to it to deliver its strategic goals, with negative consequences in terms of increased risk and uncertainty for market actors, as well as the loss of opportunities for planners to intervene in a more collective interest. This article was published open access under a CC BY licence: https://creativecommons.org/licences/by/4.0. [ABSTRACT FROM AUTHOR]

Abstract Incrementalism is a mode of self-help and continuing practice that is prevalent primarily in the Global South. It enables owner-builders to meet housing needs typically over an extended period of time as they can more conveniently manage the required resources. While (informal) tenure, materiality, and housing conditions have long been the focus of incremental housing scholarship, researchers are increasingly recognising the value of incrementalism’s metabolic interplay with broader urban processes. This paper complements these later works by qualitatively examining four dominant incremental housing pathways in the urban fringes of Khulna, Bangladesh: absentee landholding, makeshift sheltering, speculative land disposal and informal brokerage. Empirical evidence suggests that a variety of actors, primarily motivated by land speculation, participate in these incremental housing pathways. While the implementation of the official plan for Khulna’s peri-urban areas is delayed, I argue that these actors coproduce a complex housing market as well as a self-help city in which urban institutions play more passive and reactionary roles. The findings contribute to rethinking the self-organising logic of urban expansion in many Southern cities, which is often centred on urban land at the crossroads of institutional capacity deficit, speculative housing demand and supply, and informal-formal hybridity. [ABSTRACT FROM AUTHOR]

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Copyright of Kafkas University, Journal of Economics & Administrative Sciences Faculty / Kafkas Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi is the property of University of Kafkas, Faculty of Economics & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Social housing in Peru is a significant contemporary urban issue. This study aims to assess the current state of supply and demand for social housing. The methodology employed involved examining indicators, socioeconomic reports, existing regulations, and relevant literature on social housing. Through this approach, we were able to determine the demand profile, identify the characteristics of the available supply, comprehend the dynamics of social housing programs, and establish the correlation between supply and demand. The ultimate goal was to explore the options for acquiring this type of housing. In Peru, the acquisition of social housing is facilitated through the Fondo MIVIVIENDA program, which operates through two primary mechanisms: Techo Propio and Nuevo Crédito MIVIVIENDA. The findings of this study reveal that the social housing offered in the country falls short of meeting the current demand of various socioeconomic sectors. This discrepancy arises from several factors, indicating that family income alone is not the sole limiting factor. The absence of consistent and well-designed public policies further exacerbates the issue, hindering social development, impeding citizens' access to a better quality of life, and undermining their social inclusion. [ABSTRACT FROM AUTHOR]

Traditional US rental housing data sources such as the American Community Survey and the American Housing Survey report on the transacted market—what existing renters pay each month. They do not explicitly tell us about the spot market—i.e., the asking rents that current homeseekers must pay to acquire housing—though they are routinely used as a proxy. This study compares governmental data to millions of contemporaneous rental listings and finds that asking rents diverge substantially from these most recent estimates. Conventional housing data understate current market conditions and affordability challenges, especially in cities with tight and expensive rental markets.

As the rental housing market moves online, the Internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings' representativeness could impact different communities' access to housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe housing practitioners' and researchers' ability to draw broad market insights from listings to understand rental supply and affordability. This study examines millions of Craigslist rental listings across the US and finds that they spatially concentrate and over-represent whiter, wealthier, and better-educated communities. Other significant demographic differences exist in age, language, college enrollment, rent, poverty rate, and household size. Most cities' online housing markets are digitally segregated by race and class, and we discuss various implications for residential mobility, community legibility, gentrification, housing voucher utilization, and automated monitoring and analytics in the smart cities paradigm. While Craigslist contains valuable crowdsourced data to better understand affordability and available rental supply in real-time, it does not evenly represent all market segments. The Internet promises information democratization, and online listings can reduce housing search costs and increase choice sets. However, technology access/preferences and information channel segregation can concentrate such information-broadcasting benefits in already-advantaged communities, reproducing traditional inequalities and reinforcing residential sorting and segregation dynamics. Technology platforms like Craigslist construct new institutions with the power to shape spatial economies, human interactions, and planners' ability to monitor and respond to urban challenges.