Search results

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.

Although the Singapore model of ethnic integration through its public housing programme is well known, the formula for replicating its success elsewhere remains underexplored. This study aims to identify the criteria for successful transplantation, specifically by identifying the housing tenure types that are most amenable to the implementation of the Singapore model.

Through a comparative study of two common law jurisdictions – Singapore and England – this article highlights the differences in their housing landscapes and how such differences impact upon the adoption of ethnic integration policies through housing. The article also unpacks, through a cross-disciplinary lens, the concepts of public housing and housing tenures, drawing heavily on socio-legal and housing literature.

The authors observe that the implementation of ethnic integration policies is best justified and most easily achieved in leasehold estates that exhibit a strong tenurial relationship with the state retaining a more than notional role. Public housing in Singapore being an exemplar of this model, the implementation of its ethnic integration policy is relatively straightforward. By contrast, the shrinking public housing sector in England means that adoption of a similar policy would have limited reach. Even then, the political–legal environment in England that promotes home ownership is potentially hostile to the adoption of such policy as it may be seen as an infringement of private property right.

The cross-jurisdiction comparison is supplemented by an interdisciplinary analysis that seeks to bridge differences in the categorisation of tenure in housing and law literatures so as to promote cross-disciplinary dialogue.

The paper aims to examine the role played by property tax in influencing strategic decisions regarding marital separation and divorce in Italian municipalities.

The empirical analysis is conducted on a sample of 6,458 Italian municipalities by applying the ordinary least squares (OLS) and instrumental variables (IVs) approaches.

The estimation results show a small increase in marital separations and divorces as the difference between the municipal secondary and primary home tax rate increases. Specifically, an increase of 1‰ in the property tax rate differentials is accompanied by an increase of six marital separations and four divorces per 1,000 inhabitants.

The main limitation of the analysis is that the strategic behavior of the married couple is inferred from econometric analysis with data aggregated at the municipal level. To investigate this phenomenon more precisely, it would be useful to have individual data collected by surveys on strategic divorce decisions due to property tax incentives.

This study contributes to the scant existing literature on the tax incentives for strategic divorce. It is the first study to empirically investigate the effects of property tax on separation and divorce decisions by investigating the Italian context. In Italy, a property tax was introduced in 1993, encouraging “false” divorces by spouses with a second home since the tax on the secondary home was set at a rate higher than that on the primary residence. Moreover, there were no tax deductions and no additional tax breaks on the secondary home, while they were established on the primary one. Higher property taxes and the absence of tax breaks on the secondary home may have encouraged a strategic behavior whereby many married couples filed for false separation and divorce in order to recover part of property tax rebates.

This study illustrates the economic and financial dynamics of the sector, analysing the evolution of the main ratios of profitability and financial structure of 1,559 Italian real estate companies divided into the three macro-regions: North, Centre and South, in the period 2011–2020. In this way, it is also possible to verify the responsiveness to the 2020 pandemic crisis.

The analysis uses descriptive statistics tools and the ANOVA method of analysis of variance, supplemented by the Tukey–Kramer test, to identify significant differences between the three Italian macro-regions.

The study shows the increase in profitability after the 2008 crisis, despite its reverberation in the years 2012–2013. The financial structure of companies improved almost everywhere. The pandemic had modest effects on performance.

In the future, other indices should be considered to gain a more comprehensive view. This is a quantitative study based on financial statements data that neglects other important economic and social factors.

Public policies could use this study for better interventions to support the sector. In addition, internal management can compare their company's performance with the industry average to identify possible improvements.

The research analyses an economic field that employs a large number of people, especially when considering the construction and real estate services covered by this analysis.

The study contributes to the literature by providing a quantitative analysis of industry dynamics, with comparative information that can be deduced from financial statements over the years.

The Home Depot case is a great story. It's about entrepreneurship, growth, CEO leadership, and the dramatic impact, good and bad, a CEO can have on a company's growth culture, strategy, and performance. Home Depot had faced market growth challenges for the last seven years as it tried in numerous ways to reignite its growth engine. The case explores the growth strategies of CEOs Bernie Marcus, Arthur Blank, and Blank's successor Bob Nardelli, a former GE executive. After examining Home Depot's growth history, the case challenges students to devise a growth strategy for the company under a new CEO.

The purpose of this study is designed to achieve the learning process in producing studies involving economic issues and scenarios in business management in Malaysia. In addition, this study will provide exposure to the integration of managerial skills by using both microeconomics and macroeconomics concepts and theories to aid decision-making in a business environment.

The research method comprised qualitative methodology of literature review, case study and quantitative methodology of multiple linear regression (MLR). In this case, seven microeconomics and macroeconomics factors which are believed to significantly affect house price index (HPI) are taken into consideration which includes gross domestic product, consumer price index (CPI), government tax and subsidy on housing, overnight policy rate, unemployment rate (UNEMP), the median income (INC) and cost of production index.

This research has resulted in three significant factors affecting HPI from MLR, which include CPI, UNEMP and INC where the increase of these factors will cause a high increment of HPI. The other four factors are not significant.

Malaysia has been facing the stagnancy in house market these recent years due to issues such as massive oversupply, impacting Malaysia’s economy specifically focusing on domestic direct investment. To avoid oversupply issues, the vitality of future house demand and pricing forecast should be comprehended by involved bodies for more effective planning for the house development industry. To make a better and bigger impact, this research is intended to analyse the microeconomic and macroeconomic factors affecting the HPI to better understand the significance of each of these factors to the changes of HPI to resolve these economic issues.

This case describes the evolution of MHFC, a player in the Indian informal housing sector. As a new entrant offering micro home loans to the financially excluded lower income families of urban India in 2008, MHFC had grown to an annual number of 18,000 loans worth INR 8 billion with an average ticket size of INR 0.43 million (USD 6,000).

With a 53.5% purchasable equity stake in MHFC, Chopra and his team were left with certain decisions to make. Should the company on-board a new social investor? Or should it bring on the more readily available and capital-rich private equity investors interested in the lucrative prospects of the microfinance housing sector?

The case discusses two key objectives: (1) to understand the entire entrepreneurial journey of a group of entrepreneurs and how they plan to exit the venture, and (2) to enable classroom discussion on how to develop a business model from scratch, get it funded, achieve scale and then exit.

This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19. Homeownership is an important goal for many, and house prices are a significant driver of household wealth and the wider economy. This study argues that excessive liquidity from central banks may be driving house price increases, despite negative changes to fundamental drivers. This study contributes to the literature by examining lending liquidity as a driver of house prices and evaluating the efficacy of fiscal policies aimed at boosting liquidity during black swan events.

This study aims to examine the impact of quantitative easing on Australian house prices during back swan events using data from 2004 to 2021. All macroeconomic and financial data are freely available from official sources such as the Australian Bureau of Statistics and the nation's Central Bank. Methodology wise, given the problematic nature of the data such as a mixed order of integration and the possibility of cointegration among some of the I(1) variables, the auto-regressive distributed lag model was selected given its flexibility and relative lack of assumptions.

The Australian housing market continued to perform well during the COVID-19 pandemic, with the house price index reaching an unprecedented high towards the end of 2021. Research using data from 2004 to 2021 found a consistent positive relationship between house prices and housing finance, as well as population growth and the value of work commenced on residential properties. Other traditional drivers such as the unemployment rate, economic activity, stock prices and income levels were found to be less significant. This study suggests that quantitative easing implemented during the pandemic played a significant role in the housing market's performance.

Given the severity of COVID-19, policymakers have responded with fiscal and monetary measures that are unprecedented in scale and scope. The full implications of these responses are yet to be completely understood. In Australia, the policy interest rate was reduced to a historic low of 0.1%. In the following periods house prices appreciated by over 20%. The efficacy of quantitative easing and associated fiscal policies aimed at boosting liquidity to mitigate the impact of black swan events such as the pandemic has yet to be tested empirically. This study aims to address that paucity in literature by providing such evidence.

The housing/real estate sector is one of the most important sectors in any country. However, existing marketing literature on the home buying behavior and the decision-making process is still in the early stage of development. The purpose of this study is to examine the home buying behavior from the consumers’ perspective in a high-context culture, namely, Kyrgyzstan and its managerial and/or public policy implications to other countries which are at a similar level of socio-economic development as Kyrgyzstan.

Using a questionnaire, data for the study (n = 300) is collected from households in Bishkek, Kyrgyzstan. Personal interviews were used to collect data from the four administrative regions of Bishkek.

Results of this study show that the physical, environmental and financial dimensions of the homes influenced consumers’ home buying intentions. A few statistically significant differences in terms of preferences for the proximity of the property to schools and shopping districts, having public sewer and water connections, and safety characteristics of the neighborhood were found between the first-time homebuyers and the repeat homebuyers.

The most important limitation of the study is the use of convenience sampling. Although the sample size is reasonably large, the selection of the responses was done based on using convenience and connections. Representativeness of the results may be limited.

Along with the physical, environmental and financial dimensions of the homes, home buying is a high-involvement decision; it is not as much of an emotional purchase but rather a main residence and a good long-term value for Kyrgyz households. Both marketing and social stimuli did not have any statistically significant effect on purchase intentions. Therefore, housing and real estate developers should focus on understanding how their offering meets individual customers’ tangible and intangible expectations and assist them in their highly involved decision-making process.

To the best of the authors’ knowledge, this study is the first to conduct an empirical study to analyze the home buying decisions of Kyrgyz households. This study contributes to marketing literature by filling the existing gaps in understanding various facets of the high-context consumers’ home buying decision-making.

The purpose of this study is to analyse numerous aspects affecting residential property price in Malaysia against macroeconomics issues such as gross domestic product (GDP), exchange rate, unemployment and wage.

The hedonic pricing model has been adopted as econometric model for this research to investigate the relationship between residential property price against macroeconomics indicator. The data for residential property price and macroeconomic variables were collected from 1991 to 2019. Multiple linear regression had been adopted to find the relationship between the dependent and independent variables.

The result shows that the GDP has a significant positive impact on residential property price, while exchange rate has no significant impact although it was positive. In addition, the unemployment rate has a significant impact on the residential property price and has a negative relationship. Similar to the wage that shows the negative relationship with residential property prices. Moreover, during the pandemic COVID-19 in Malaysia, this research shows a more transparent view of the relationship between residential property price and the macroeconomic issues of GDP, exchange rate, unemployment and wage.

The findings of this research found that macroeconomics issue cannot be eliminated due to Malaysia is a developing country, and there will always be an issue that will happen, but the issues can be reduced to maximise the advantages, e.g. during COVID-19, the solution to fight against COVID-19 were crucial and weaken the macroeconomics issues.