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Drawing on the structural hole-bridging perspective of network theory, this paper aims to examine the adaptation strategies undertaken by housing industry actors following the recent pandemic.

A qualitative case study was adopted as the research methodology for this research. Data collected through online interviews involving 20 participants was used as primary data, while document analysis (both online and printed documents) was used as secondary data. The interviews were guided by the visual vignette method.

This study’s findings indicate that a health-based crisis like COVID-19 triggers housing developers to act outside their comfort zones. They undertake arbitrage and collaborative brokerage strategies to cope with business uncertainties. This study revealed the contextual embedding of the owner-occupier market (consumer market) and the investor market (business market). This study also revealed that firms that aggressively located structural holes and built new relationships in B2C and B2B markets before the COVID-19 pandemic were well-equipped to face turbulent times.

The innovative strategies that housing developers adopt are transferable and applicable to other industries and countries. Therefore, awareness of these strategies is essential for industry practitioners, especially those badly hit by health-based crises.

To the best of the authors’ knowledge, this is the first empirical study that combines relationship management, structural holes, the housing market and their implications for crisis adaptation. This study examined the grossly understudied phenomenon of demand for housing, which is a durable good, during a turbulent time. The findings of this study provide beneficial guidance for firms, buyers and policymakers facing COVID-19 and/or other similar crises.

This paper aims to explore the impact of the joint operation of affordability policies and whether their impact is meaningful relative to the size of the affordability crisis. Its purpose is to construct the features of a comprehensive policy package linked to a measurable outcome: solving the affordability crisis in Auckland. This study investigates the scale and nature of an affordability package that responds to three research and policy questions: What should the rate of annual growth of affordable housing be to solve the affordability crisis? Consequently, how long would it take to solve it? And how much would that policy package cost?

In this paper, the authors argue that the disjoint operation of affordability policies is one of the reasons why their impacts relative to the size of the affordability crisis has been small or negligible. Furthermore, this study demonstrates that affordability is as much about raising households’ incomes as it is about lowering housing prices. This study uses a modelling-based framework to simulate some of the levers that local and central governments have to affect housing prices and affordability: direct intervention on the supply-side and subsidies. Specifically, this simulates retention-and-targeting (RT) programs and subsidies to raise deposits via shared ownership (SO) schemes.

This study finds that solving the affordability crisis would take a decade if the supply of affordable housing increases by at least 45% annually. With the introduction of RT and SO programs, it could still be solved within a decade, where the required growth rate decreases to 35%. However, for growth rates between 5% and 10%, the policy goal is met in approximately 40 years, and the SO program becomes exceedingly expensive.

Housing affordability is one of the hottest policy issues in New Zealand and the developed world. In the past decade, a number of affordability policies have been introduced with limited success due to their lack of interoperability and siloed efforts. Results in this paper should be interpreted as the boundaries of what is feasible and realistic in the realm of affordability policies. Therefore, its contribution relies on investigating the multiple effects if the financial, administrative and political barriers to RT and SO programs could be overcome. Its scope is a blueprint for the design of policies in other cities where unaffordability has become extreme.

This paper investigates the housing affordability crisis from the perspective of vulnerable social groups (VSG) in Turkey and Turkey's megacities, Istanbul, Ankara, and Izmir, over the period of 2010 and 2019.

The author employ house cost and multiple income variables, involving residual income, to construct socially informative house cost-to-income (HCI) ratios. To measure the country/urban level socio-economic dimensions of the affordability crisis, the author develop 12 main and 76 specific housing affordability criteria.

The author find that housing is not affordable in Turkey and low/unequal distribution of income is a contributive factor for the affordability crisis of VSG. The evidence suggests that housing unaffordability for VSG is deeply rooted in the socio-economic/demographic disparities that eventually result in income and homeownership inequalities.

Constructed HCI ratios provide precise information for the targeted housing affordability policies for the VSG defined by education level, age, location, income distribution, employment status/condition and gender. The author' socially targeted modeling approach briefly suggests that housing affordability policies should focus on low-educated groups, young generations, some elementary occupations, employees in low-income industries, and casual/regular-small firms' employees.

This is the first study that provides nuanced information on housing affordability for Turkey by employing HCI ratios for the targeted VSG. This socially targeted empirical analysis is the first analysis for developing housing markets as well. From the methodological perspective, the author contribute information quality of the housing affordability ratio by using income data of various aggregate-level socio-economic/demographic groups.

The main purpose of this study is to investigate the impact of housing price on mortgage debt accumulation while considering the structural break effects associated with the Global Financial Crisis (GFC).

To determine the existence of a long run relationship among the variables, this study used a Johansen cointegration test. The long run model was then estimated using the fully modified ordinary least square method and reported for both the model with and without a structural break associated with the GFC.

The findings demonstrate a moderate positive relationship between housing price and mortgage debt, with the impact of the GFC is positive but insignificant. The household’s lack of responsiveness to the GFC may be attributed to their optimistic expectations and confidence in the Malaysian housing market.

Findings of this study provide some guidance to policymakers and the banking sector in predicting household borrowing behavior during future economic crises.

The increase in housing prices and mortgage debt after the GFC has been a concern for many countries, including Malaysia. This study contributes to the literature by investigating the relationship between housing prices and mortgage debt in Malaysia and sheds light on the impact of the GFC on household borrowing behavior. The study’s contributions include providing new evidence to the underexplored topic, enhancing the robustness and reliability of the empirical results and providing insights into the importance of testing for structural breaks in time series analysis.

This study aims to construct alternative models to establish the dynamic relationship between exchange rates and housing affordability by estimating both the short- and long-run relationship between exchange rates and housing affordability for 18 OECD countries from 1975Q1 to 2022Q4. After that, this study demonstrates how this nexus behaves during high and low inflation regimes and turbulent times.

This study uses the panel autoregressive distributed lag technique to examine the nexus between housing affordability to capture the distinct characteristics of the sample countries and estimate various short- and long-run dynamics in the relationship between housing affordability and exchange rate.

Exchange rate appreciation improves housing affordability in the short run, whereas this connection tends to dissipate in the long run. Moreover, inflation can worsen housing affordability during turbulent times, such as the global financial crisis, in both the short and long run. Ignoring these changes in the relationship between exchange rates and housing affordability during turbulent times can lead to incorrect conclusions.

To the best of the authors’ knowledge, this study is the first to examine the association between exchange rates and housing affordability by demonstrating how these variables behave in high and low inflation regimes and turbulent times.

This research study aims to delve into the enduring relationship between housing property prices and economic policy uncertainty across eight major Indian cities.

Using the panel non-linear autoregressive distributed lag model, this study meticulously investigates the asymmetric impact of economic policy uncertainty on apartment and house (unit) prices in India during the period from 2000 to 2022.

The findings of this study indicate that economic policy uncertainty exerts a negative influence on property prices, but noteworthy asymmetry is observed, with positive changes in effect having a more pronounced impact than negative changes. This asymmetrical effect is particularly prominent in the case of unit prices.

This research reveals that long-run price trends are also influenced by factors such as interest rates, building costs and housing loans. Through a comprehensive analysis of these factors and their interplay with property prices, this research paper contributes valuable insights to the understanding of the real estate market dynamics in Indian cities.

Adopting a welfare stance, this paper considers whether the neoliberalist approach which has been adopted by successive UK and Scottish governments will achieve optimal societal outcomes or lead to the under provision of senior housing.

Data collection centred on informed multi-stakeholder groups that have significant experience working in the retirement and senior housing sector. Core techniques included desk-based study of secondary academic, consultancy and policy documents. Primary data collection techniques involved primary participation of three Scottish taskforce meetings and interviews with key stakeholders from across the sector.

The paper concludes that without direct government intervention in the market, the welfare ambition to provide adequate housing for an ageing population will not materialise with significant shortfalls in appropriate stock predicted. To prevent this scenario developing, increased public and private sector interaction is essential.

The research follows the growing concern to provide research that has “real world” relevance. The paper conducts a detailed analysis of the Scottish government's housing strategy and reports on the findings of interviewees with key stakeholders. The paper makes recommendations for greater public/private partnerships.

This study aims to analyze the impact of technology-based corporation relocation on housing price indices during COVID-19 within the metropolitan areas of Austin, Texas and Seattle/Bellevue, Washington.The corporations under observation were Tesla and Amazon, respectively. The analysis intends to understand economic drivers behind the housing market and the radius of its effect while including fixed and random effects.

This study used a difference-in-difference (DID) method to evaluate changes in housing price index near and further away from Tesla’s and Amazon’s new corporate locations. The DID method allows for the capture of unique regional characteristics, as it requires a treatment and control group: housing price index and 5-mile and 10-mile search radii centered from the new corporate location.

The results indicated that corporate relocation announcements had a positive effect on housing price index post-pandemic. Specifically, the effect of Tesla’s relocation in Austin on the housing price index was not concentrated near the relocation site, but beyond the 5- and 10-mile radii. For Seattle/Bellevue, the effect of Amazon’s relocation announcement on housing price index was concentrated near the relocation site as well as beyond a 10-mile radius. Interestingly, these findings suggest housing markets incorporate speculation of prospective economic expansion linked with a corporate relocation.

Previous literature assessed COVID-19 housing market conditions and the economic effects of corporate relocation separately, whereas this study analyzed the housing price effects of corporate relocation during COVID-19. The DID method includes spatial and temporal analyses that allow for the impact of housing price to be observed across specified radii rather than a city-wide impact analysis.