Working from home and long-term housing wealth inequality in large cities of advanced economies

Purpose The purpose of this study is to explain the potential long-term impacts of working from home on housing wealth inequality in large cities of advanced economies. Design/methodology/approach This study is descriptive research and It supports the arguments by providing some emerging evidence from property markets in developed countries. Findings The authors argue that due to the unique nature of the COVID-19 crisis, it will have a different and long-term impact on housing wealth inequality. Changes in the working arrangements of many professionals will change the housing demand dynamic across different suburbs and may lead to a reduction of the housing wealth gap in the long term. In this paper, the authors propose five mechanisms that may impact housing wealth inequality. Research limitations/implications Long-term data is required to test the proposed conceptual model in this study and the effect of the COVID-19 pandemic on housing wealth across and within suburbs of large cities. Practical implications Policymakers and regulators may benefit from the discussions and suggestions provided in this study and consider the proposed avenues on how new changes in the working environment (remote working) may result in a reduction of housing wealth inequality. Originality/value This study presents a new perspective about the potential long-term impacts of working from home that is posed by the COVID-19 pandemic on housing wealth inequality in large cities of developed economies.

Factors influencing customers’ selection of Islamic home financing: a systematic review

Purpose This study, using systematic literature review (SLR) aims to highlight and summarise current studies on the factors influencing customers’ Islamic home financing (IHF) selection and Islamic banking product preference, which has gained popularity within the banking sector over the past three decades. The SLR could map evolution and research fields, recommend a particular categorisation and determine primary issues to demonstrate current trends, future research directions and theoretical development. Design/methodology/approach The SLR was performed with a four-step reporting standard for the systematic evidence syntheses review method (research question formulation, systematic searching, quality assessment and data extraction) using 33 screened articles between 2008 and 2020 from two primary databases (Scopus and Web of Science) and one supporting database (Google Scholar). Findings The resulting factors could be categorised into four primary themes: consumer behaviour, consumer attributes, bank attributes and bank attributes (Islamic). The themes were subsequently divided into 16 sub-themes. Notably, all the factors proved essential for consumers’ evolving preferences and product competitiveness in the market. Research limitations/implications This study encountered two limitations based on database selection and research period. Practical implications This SLR aimed to offer useful insights into the factors that should be prioritised by financial institutions for marketing approaches by investigating consumer behaviours. Originality/value This study pioneered an SLR on the study area for useful insights into the current research limitations and recommendations on future study directions. Specifically, the study method facilitated critical discussions and comparisons to past research outcomes and objectivity with triangulation from distinct perspectives.

Gulf property damage, housing price trends and US bankruptcy filings

Purpose This paper aims to examine potential causes of bankruptcy as they relate to hurricane damage. Investigate whether hurricanes result in personal bankruptcy filings due to real property damages. Strengthen existing descriptive results by using fully modified ordinary least squares (FMOLS). Design/methodology/approach Lagged FMOLS model is used with data from states that suffered hurricane damage between 2000 through 2020. FMOLS controls for various financial distresses that can cause bankruptcy filings. Findings Bankruptcy is usually filed for within one year of a hurricane. Changes in house prices and hurricane severity were significant indicators of bankruptcy filings. However, the divorce rate, commonly thought of as a primary reason for bankruptcy, is insignificant. Research limitations/implications Data was available on a state level for the independent variables. Hurricane damage needed to be financially significant enough for inland flooding to be measurable and influential. Practical implications Establishes that financial distress comes from several sources, not just home damage. Financial distress is highly correlated with whether a home was insured. Divorce does not cause bankruptcy filings. Social implications Federal flood insurance programs should be reexamined. Having a broader all-risk homeowner policy could reduce the number of households that file for bankruptcy after a hurricane. Originality/value Existing research uses descriptive statistics and obtains mixed findings regarding the association between hurricane damage and bankruptcy filings. The FMOLS approach provides clarity about this association.

Long-run drivers and integration in interprovincial Canadian housing price relations

Purpose This paper aims to examine the integration of housing markets in Canada by examining housing price data (1999–2016) of six metropolitan areas in different provinces, namely, Calgary, Vancouver, Winnipeg, Toronto, Montreal and Halifax. The authors test for cointegration, driver cities of long-run relationships, long-run Granger causality and instantaneous causality in light of the global financial crisis (GFC) (2007–2008). Design/methodology/approach The authors use Johansen’s system cointegration approach with structural breaks. Moving average representation is used for common stochastic trend(s) analysis. Finally, the authors apply vector error correction model-based Granger causality and instantaneous causality. Findings Cities’ housing prices are in long-run equilibrium. Post-crisis Canadian housing markets became more integrated. The Calgary, Vancouver, Toronto and Montreal markets drive the Canadian housing market, leading all cities toward long-run equilibrium. Strong long-run Granger causality exists, but the authors observe no instantaneous causality. Price information takes time to disseminate, and long-run price adjustments play a significant role in causation. Practical implications The findings of cointegration increasing after the GFC and strong lead–lag can be used by investors to arbitrage and optimize portfolios. This can also help national and local policymakers in mitigating risk. Incorporating these findings can lead to better price forecasting. Originality/value This study presents many novelties for the Canadian housing market: it is the first to use repeat-sales regional pricing indices to test long-run behaviors, conduct common stochastic trend analyzes and present causality relations.

Structural analysis of factors affecting the housing in Tabriz metropolis: a future study approach

Purpose The purpose of this study is to survey the quantitative and qualitative indicators of housing in Tabriz and its comparison with urban areas of the province and the country (Iran) and identify the key indicators on the future of the housing situation in the Tabriz metropolis. Design/methodology/approach Statistical yearbooks, the censuses of different periods and the documentary-environmental scanning methods are used to collect the data and matrix of crossed impact multiplications applied to a classification (MICMAC) software is used for analyzing the data. Findings The results show that during the years 1976 to 2016, the quantitative and qualitative indicators of housing in Tabriz have improved. Also, by obtaining the environmental scanning method, 61 factors were selected in 5 areas that have the greatest impact on the future of housing in the Tabriz metropolis. Finally, 11 key factors that have the most impact on the future of housing in the Tabriz metropolis were selected. These factors are economic growth, inflation, household income and savings, land and housing prices, sanctions, exchange rate changes, bank facilities, unemployment rates, political changes, purchasing power and management style. Among these factors, economic factors play the most important role, and political-managerial factors come in the next place. Originality/value This paper proves two issues, namely, the housing market in Iran, especially in the metropolis of Tabriz is strongly influenced by macroeconomic factors and the political situation of society and slogans of housing market reform without fundamental changes and reforms in both economic and political sectors of society are demagogic and illogical.

Non-mortgage loans in the Chinese residential real estate market

Purpose From January 2021, the potential flow of Chinese household non-mortgage loans, including business loans and short-term consumption loans to the residential real estate market, has attracted the attention of the regulatory authorities. This study aims to examine the effects of household non-mortgage loans on the Chinese residential real estate market. Design/methodology/approach Based on a monthly data set between July 2011 and December 2019, this study adopts a cointegration analysis. Findings This study finds that household non-mortgage loans do play a significant role in driving residential real estate prices in China. Originality/value While many studies have examined the Chinese real estate market and its linkage with the financial system and the economy, this study is the first of its kind in the academic literature that exclusively focusses on the role of non-mortgage loans in real estate prices, and makes an original contribution.

A study of boundedly rational behaviour in housing choice: evidence from Malaysia

Purpose Housing choice is always a complicated decision with its dual functions as a roof over the head and as an investment good. This paper aims to investigate the boundedly rational behaviours that affect the housing choice three bounded behaviours play roles in explaining the decision-making behaviour of homebuyers when they acquire/sell a property. These behaviours are endowment effect, loss aversion and herding, which have implications on the decision-making process. Design/methodology/approach The research is based on cross-sectional questionnaires and collected from 587 respondents. Factor analysis and reliability tests were used to identify the latent construct of bounded rational housing choice behaviour. In the meantime, the study used one-way analysis of variance (ANOVA) to examine whether there are any differences in the housing choice based on the respondents’ demographic backgrounds. Findings The findings indicated that a total of 11 items were reduced to three factors that accounted for the decision-making in housing choice. There are significant differences in herding behaviour amongst respondents with different level of education and their purpose of looking for a house. Research limitations/implications This paper helps to identify latent constructs that shed light on the housing choice, especially on the bounded rational behaviour. Originality/value This is one of the few studies to explore boundedly rational behaviours in housing choice from the angle of homebuyers. Previous studies addressed housing choice in terms of price, demand and supply in general but not on individual homebuyers. The results will be useful to developers, policymakers, homebuyers as well as scholars in understanding the decision-making process in housing choice.

Housing prices in emerging countries during COVID-19: evidence from Turkey

Purpose By considering the rapid and continuous increase of housing prices in Turkey recently, this study aims to examine the determinants of the residential property price index (RPPI). In this context, a total of 12 explanatory (3 macroeconomic, 8 markets and 1 pandemic) variables are included in the analysis. Moreover, the residential property price index for new dwellings (NRPPI) and the residential property price index for old dwellings (ORPPI) are considered for robustness checks. Design/methodology/approach A quantile regression (QR) model is used to examine the main determinants of RPPI in Turkey. A monthly time series data set for the period between January 2010 and October 2020 is included. Moreover, NRPPI and ORPPI are examined for robustness. Findings Predictions for RPPI, NRPPI and ORPPI are carried out separately at the country (Turkey) level. The results show that market variables are more important than macroeconomic variables; the pandemic and rent have the highest effect on the indices; The effects of the explanatory variables on housing prices do not change much from low to high levels, the COVID-19 pandemic and weighted average cost of funding have a decreasing effect on indices while other variables have an increasing effect in low quantiles; the pandemic and monetary policy indicators have a negative and significant effect in low quantiles whereas they are not effective in high quantiles; the results for RPPI, NRPPI and ORPPI are consistent and robust. Research limitations/implications The results of the study emphasize the importance of the pandemic, rent, monetary policy indicators and interest rates on the indices, respectively. On the other hand, focusing solely on Turkey and excluding global variables is the main limitation of this study. Therefore, the authors encourage researchers to work on other emerging countries by considering global variables. Hence, future studies may extend this study. Practical implications The COVID-19 pandemic and market variables are determined as influential variables on housing prices in Turkey whereas macroeconomic variables are not effective, which does not mean that macroeconomic variables can be fully ignored. Hence, the main priority should be on focusing on market variables by also considering the development in macroeconomic variables. Social implications Emerging countries can make housing prices stable and affordable, which will increase homeownership. Hence, they can benefit from stability in housing markets. Originality/value The QR method is performed for the first time to examine housing prices in Turkey at the country level according to the existing literature. The results obtained from the QR analysis and policy implications can also be used by other emerging countries that would like to increase homeownership to provide better living conditions to citizens by making housing prices stable and keeping them under control. Hence, countries can control housing prices and stimulate housing affordability for citizens.