Developer charges and housing affordabilty in Brisbane, Australia

Purpose - This paper empirically examines the effect of developer charges on housing affordability in Brisbane, Australia. Developer paid fees or charges are a commonly used mechanism for local governments to pay for new urban infrastructure. Despite numerous government reports and many years of industry advocacy, there remains no empirical evidence in Australia to confirm or quantify passing on of these charges to home buyers. Design/methodology/approach - This research applies a hedonic house price model to 4,699 new and 25,053 existing house sales in Brisbane from 2005 to 2011. Findings – The findings of is research are consistent with international studies that support the proposition that developer charges are over passed. This study has provided evidence that suggest developer charges are over passed to both new and existing homes in the order of around 400%. Research limitations/implications - These findings suggest that developer charges are thus a significant contributor to increasing house prices and reduced housing affordability. Practical/Social Implications: By testing this effect on both new and existing homes, this research provides evidence in support of the proposition that not only are developer charges over passed to new home buyers but also to buyers of existing homes. Thus the price inflationary effect of these developer charges are being felt by all home buyers across the community, resulting in increased mortgage repayments of close to $1000 per month. Originality/value - This is the first study to empirically examine the impact of developer charges on house prices in Australia. These results are important as they will inform governments on the outcomes of growth management strategies on housing affordability, providing the first evidence of its kind in Australia.

A benchmark study on housing defects in Victoria, Australia

The construction industry consists of many small businesses employing less than five people. A challenge to the construction industry is to ensure that the many small firms and sub-contractors keep producing quality housing to meet the needs of their customers and clients. In attempts to continually improve the quality of housing various policies and mechanisms have been adopted. These have included industry sponsored quality programs and industry administered builder registration. However, these attempts have failed because of consumer mistrust of industry-sponsored programs. In addition, these mechanisms have been introduced in isolation and not as a part of an integrated industry initiative that includes education and training from the trade to tertiary level construction management courses. This work contributes to knowledge through a detailed on-going study of housing quality and defects. This research identifies the common forms of defects, which occur in housing and their incidences. The overall aim of this paper is to report the identification of defects in housing and the establishment of benchmarks (or a baseline) for the incidence defects in various functional elements within a house. It also suggests the areas where defects are likely to occur. From the knowledge gained from the study, industry and governments may make informed decisions of where resources may be directed to the areas where it will be most beneficial both to the house builder and the end user (customer). For this to occur the findings of this research will be disseminated into the housing industry and eventually integrated into tertiary courses in building and construction
management.

Housing price diffusion pattern of Australia's state capital cities

The ripple effect of house prices within metropolitan areas has recently been recognised by researchers. However, it is very difficult to formulate and measure this effect using conventional house price theories particularly in consideration of the spatial locations of cities. Based on econometrics principles of the cointegration test and the error correction model, this research develops an innovative approach to quantitatively examine the diffusion patterns of house prices in mega-cities of a country. Taking Australia's eight capital cities as an example, the proposed approach is validated in terms of an empirical study. The results show that a 1-1-2-4 diffusion pattern exists within these cities. Sydney is on the top tier with Melbourne in the second; Perth and Adelaide are in the third level and the other four cities lie on the bottom. This research may be applied to predict the regional housing market behavior in a country.

Housing price diffusion pattern of Australia's state capital cities

The ripple effect of house prices within metropolitan areas has recently been recognised by researchers. However, it is very difficult to formulate and measure this effect using conventional house price theories particularly in consideration of the spatial locations of cities. Based on econometrics principles of the cointegration test and the error correction model, this research develops an innovative approach to quantitatively examine the diffusion patterns of house prices in mega-cities of a country. Taking Australia's eight capital cities as an example, the proposed approach is validated in terms of an empirical study. The results show that a 1-1-2-4 diffusion pattern exists within these cities. Sydney is on the top tier with Melbourne in the second; Perth and Adelaide are in the third level and the other four cities lie on the bottom. This research may be applied to predict the regional housing market behavior in a country.

Impacts of monetary policies on housing affordability in Australia

Housing affordability has become a major policy issue in many countries across the world since the rapid inflation of house prices. This paper empirically investigates how monetary policies affect housing affordability in Australia from 1998 to 2009. Three primary variables associated with the housing sector and monetary policy, which are money supply, interest rates and house prices, are studied for all eight capital cities in Australia in this research. Shocks of such variables are identified by a structural vector autoregression (SVAR) model with restrictions that are consistent with economic theoretical framework. Based upon the analysis using the structural decomposition of impulse response on quarterly data, it can be discovered that the monetary policy plays an active role in housing affordability via adjustments of money supply and interest rates during the observed period in Australia. The empirical results from this research may be used for decision makers to determine money supply and interest rates from the perspective of housing affordability.

The accuracy of housing forecasting in Australia

Forecasting is an integral part of all business planning, and forecasting the outlook for housing is of interest to many firms in the housing construction sector. This research measures the performance of a number of industry forecasting bodies; this is done to provide users with an indicator of the value of housing forecasting undertaken in Australia. The accuracy of housing commencement forecasts of three Australian organisations – the Housing Industry Association (HIA), the Indicative Planning Council for the Housing Industry (IPC) and BIS-Shrapnel – is examined through the empirical analysis of their published forecasts supplemented by qualitative data in the form of opinions elicited from several industry “experts” employed in these organisations. Forecasting performance was determined by comparing the housing commencement forecast with the actual data collected by the Australian Bureau of Statistics on an ex-post basis. Although the forecasts cover different time periods, the level of accuracy is similar, at around 11-13 per cent for four-quarter-ahead forecasts. In addition, national forecasts are more accurate than forecasts for individual states. This is the first research that has investigated the accuracy of both private and public sector forecasting of housing construction in Australia. This allows users of the information to better understand the performance of various forecasting organisations.

Analysing the transmission pattern within the framework of housing supply and monetary policy in Australia

Housing supply is one of important components of the housing sector. Compared with an increasingly strong housing demand, the growth rates of total housing stock in Australia have exhibited a downward trend since the end of the 1990s whilst the significant adjustments in the Australian monetary policy were being implemented. This research aims to estimate the nature of the relationship between housing supply and monetary policy by a vector error correction model. According to the empirical results, a transmission pattern comprised of the indicators associated with housing supply and monetary policy can be identified, which suggests that there is a significant interrelationship between monetary policy and the supply side of the housing sector in Australia.

Energy and greenhouse gas emissions implications of alternative housing types for Australia

Many cities around the world are looking for ways to reduce their per capita greenhouse gas emissions. The outward growth of cities from a central business district, typical of many cities around the world, is often seen as working against this goal and as unsustainable. This is especially the case in circumstances where this growth is not supported by the necessary infrastructure, often resulting in an increase in the use of private transport. However, alternative scenarios to contain the outward growth are being proposed. This paper provides a comparison of the energy demand and greenhouse gas emissions between typical detached outer-suburban housing currently being built in Australia's major cities and inner-city and -suburban apartments, which are increasingly seen as a legitimate alternative to the housing that is currently being built on our outer city fringes. By analysing the energy demand associated with the construction and operation of each housing type and for occupant travel it was found that the location of the housing and its size are the dominant factors determining energy use and greenhouse gas emissions. The findings from this analysis provide useful information for policy-makers in planning the development of our cities into the future, when faced with a growing population and an increasing need to minimise greenhouse gas emissions.