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By comparing regression models, this study aims to analyze the added home value of green sustainability features and green efficiency characteristics, rather than green certifications, in the city of Austin.

The adoption of home green energy efficiency upgrades has emerged as a new trend in the real estate industry, offering several benefits to builders and home buyers. These include tax reductions, health improvements and energy savings. Previous studies have shown that energy-certified single-family homes command a premium in the marketplace. However, the literature is limited in its analysis of the effects of green upgrades and certification on different types of single-family homes. To address this gap, this research collected data from 21,292 multiple listing services (MLS) closed home-selling listings in Austin, Texas, over a period of 35 months.

The analysis results showed that green efficiency features could generally increase single-family housing prices by 11.9%, whereas green sustainability upgrades can potentially bring a 11.7% higher selling price. Although green housing certification did not have significant effects on most housing groups, it did increase closing prices by 13.2% for single-family residences sold at the medium price range, which is higher than the impacts from simply listing the green features on MLS.

The study contributes to the body of knowledge by examining the market value of broadly defined energy efficiency and sustainability features in the residential housing market. The findings can help policymakers, brokerage firms, home builders and owners adjust their policies and strategies related to single-family home sales and mortgage approvals. The research also highlights the potential benefits of capitalizing on green housing features other than certifications.

This study aims to test whether energy performance effects single-family home sale prices. It also examines whether recommendations for supposedly cost-effective energy efficiency measures, by intervention category (construction, installation or operation/control technical measures), are perceived as untapped potential – a real option – that effects sale prices.

The energy performance measurement and dummy variables for three categories of improvement recommendations are included as explanatory variables in a hedonic regression analysis using transaction data and energy performance certificates data for 1,073 observations.

Results indicate that better energy performance effects selling prices positively. Energy efficiency recommendations seem to have an impact on sale price; home buyers seem to require a larger “discount” for more complex types of measures.

The sample only includes houses in the Stockholm; so-called sustainable buildings have not been specifically studied; and the heating source has not been accounted for.

The EU energy performance certificates provide new information and measure energy performance more exactly than many earlier (proxy) variables. This is one of the first studies to test the effect of this information, and the first one using Swedish data.

The purpose of this research is to analyze a county’s housing market over 23 years to determine what impact, if any, multiple hurricanes have had on the residential real estate market.

This research uses a hedonic price model to determine the impacts that multiple hurricanes had on housing values.

There was a significant and negative countywide impact on housing sales values in the 1996, which can directly be attributed to three hurricanes impacting Brunswick County. Economic factors, rather than hurricanes and related storms, are more likely to impact sales values in all other years.

This research is limited only to single-family home sales in Brunswick County, North Carolina, from 1984 to 2007. The model does not include multi-family residential uses.

Unlike many other areas that have been studied regarding natural disasters, Brunswick County has been hit multiple times by hurricanes and related storms, providing some insight into the long-term implications of the impact of storms on housing values over an extended period of time. The practical implication is that despite the likelihood of hurricanes and proximity to the ocean, people are willing to pay to live in coastal areas, even an area with a history of repeated direct and indirect strikes by hurricanes.

Unlike much of the peer-reviewed research that looks at a single occurrence of a natural disaster, this research looks at the impacts of multiple hurricanes on a single county over 23 years to determine what impact, if any, these storms have on the overall housing market.

The purpose of this study is to examine the net effect of golf courses’ proximity on home sale prices in Kern County, California.

A spatial Durbin error model is used with sales price data for 1,693 homes sold in Kern County in the third quarter of 2018. This paper compares 90 different spatial econometric models using Bayesian techniques to produce posterior model probabilities which guided model selection and the number of neighbors to use.

The results show that significant spatial dependence exists in home values in Kern County. Point estimates indicate that homes abutting golf courses are valued at less than those which are not. This study also finds that the farther away from golf courses the average home is, the higher its value.

This study contributes to the existing literature in three dimensions. First, this paper analyzes whether proximity to golf courses impacts home values in Kern County where a study of this nature has not been conducted. Second, the analysis uses transaction data for 2018 which was a period when the sport’s popularity was fading and golf courses closing. Third, Bayesian model comparison techniques are used to select the appropriate model.

In March 2014, the minister responsible for public housing in the state of New South Wales in Australia announced that all 600 public housing tenants living in the historic heritage-listed adjacent inner-city neighbourhoods of Millers Point and The Rocks in Sydney were to be moved and the homes sold to the highest bidder on the open market. There were to be no exceptions, and the last public housing resident was moved from the area in July 2018. A common view is that public housing areas in countries with a residualised welfare system are characterised by attenuated social ties, anomie and bleakness. This chapter examines neighbouring, social ties, mutual assistance and sense of community among public housing tenants in Millers Point and demonstrates that this is not always the case. Drawing on 48 in-depth interviews with residents, plus observation, I show that the social connections among public housing tenants in the area were unusually strong and enduring. I argue that in order to understand why this was so, we need to look at the physical and social features of the area. Following on from the seminal work of Jane Jacobs, the New Urbanism movement argues that compactness, mixed land use and walkability are crucial enablers of social interaction and neighbourliness. These physical features were present in Millers Point. There is now a recognition by New Urbanism scholars that physical elements in themselves rarely create community and that the social features of neighbourhoods also have to be taken into account. In the case of the public housing tenants in inner Sydney, the key social features were longevity of residence and homogeneity. Another crucial aspect was a strong sense of social obligation. This was partially due to the presence of strong trade unionism in the area historically and the intermittent nature of employment at certain periods, which ensured neighbours rallied round to help those who were less fortunate.

To examine precisely how service process and service outcome are related to service quality and customer satisfaction evaluations, and to look for consistent patterns in the relationships between these four concepts.

A theoretical framework is proposed to suggest links between the four concepts. The study is conducted in the real estate industry, and the focus is on home sellers' evaluations of the real estate agent's service. In‐depth interviews and a short survey are used to collect the data. A combination of content analysis and statistical tests is used to look for patterns in the data.

As proposed, process factors are closely linked with service quality, and outcome factors are closely linked with customer satisfaction. Also, as proposed, service quality evaluations precede customer satisfaction for normal service evaluations, but the opposite causal order is found for extreme service evaluations.

The study is conducted in the USA and is based on a relatively small sample, but sufficient for qualitative (and simple statistical) analysis. The differential links proposed and found between the four concepts advance researchers' understanding of the basis for service evaluations.

Managers can focus more on either service process or service outcome based on their specific objectives and/or resource constraints in different situations.

It is the first study to propose and empirically support the idea that service process is closely linked with service quality evaluations, whereas service outcome is closely linked with customer satisfaction evaluations.