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Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place.

A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM).

The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source.

Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

This study aims to test whether the size of and distance to the nearest green space has any effects on residential property transaction prices in Auckland, New Zealand.

This paper divides all green spaces in Auckland into three categories, namely, urban parks, regional reserves and volcanic parks (a unique feature in Auckland, New Zealand). This study uses six years of residential property transaction data to estimate hedonic price regressions. For each property, this paper calculates the size of and distance to the nearest park in each category.

The logged sizes of the nearest regional reserve and volcanic park have positive effects on property prices. The logged distances to the nearest urban park and volcanic park are insignificant, while the logged distance to the nearest regional reserve is positively significant. In other words, homebuyers prefer larger regional reserves and volcanic parks and prefer to be further away.

Auckland is ranked as a top-five city in the world in terms of the proportion of public green space, trailing four European cities. However, because of Auckland’s much younger age, it presents a very different urban form. The study shows that the distribution of green space (not only its total amount) can bring negative capitalization on property prices.

“Ill-maintenance of common areas” in multi-owner residential properties is described as the “tragedy of anti-commons problem”. The problem can be addressed by outsourcing the management of the property to a company possessing quality property management (PMGT) certification. The PMGT certification is normally hailed as an effective means of reassuring occupiers and prospective property buyers of the good level of quality of the property management to be expected. This study investigated whether PMGT certification carries with it a price premium for residential properties.

A fixed-effects modelling approach was employed in relation to a large residential properties dataset in Hong Kong, in the period 2009–2018.

The results indicate, on average, that the PMGT certification commands a price premium of between 3.3 and 3.9%. This premium can be called, the “tragedy of anti-commons premium (TAC premium)”. The results further suggest that significant price premium differences relate to the four different types of certifications studied. The price of a residential unit managed by a property management company (PMC) with Q-mark certification is about 3.4% higher than a unit managed by a non-certified PMC, ceteris paribus. Likewise, corresponding price premiums for units certified related to ISO9001 and HKMAQA certifications are 3.5 and 2.4%, respectively.

To the best of author's knowledge, this is the first attempt to investigate if there is any relationship between the property price premium attributed to “tragedy of anti-commons” and PMGT certification.

A number of studies have investigated the relationship between energy performance certificates (EPCs) and house prices. A majority of studies have tended to model energy performance pricing effects within a traditional hedonic conditional mean estimate model. There has been limited analysis that has accounted for the relationship between EPCs and the effects across the pricing distribution. Moreover, there has been limited research examining the “standard cost improvements EPC score”, or “potential score”. Therefore, this paper aims to quantify and measure the dynamic effects of EPCs on house prices across the price spectrum and account for standardised cost-effective retrofit improvements.

Existing EPC studies produce one coefficient for the entirety of the pricing distribution, culminating in a single marginal implicit price effect. The approach within this study applies a quantile regression approach to empirically estimate how quantiles of house prices respond differently to unitary changes in the proximal effects of EPCs and structural property characteristics across the conditional distribution of house prices. Using a data set of 1,476 achieved transaction prices, the quantile regression models apply both assessed EPC score and bands and further examine the potential EPC rating for improved energy performance based on an average energy cost improvement.

The findings show that EPCs are valued differently across the quantiles and that conditional quantiles are asymmetrical. Only property prices in the upper quantiles of the price distribution show significant capitalisation effects with energy performance, and only properties with higher EPC scores display positive significant effects at the higher end of the price distribution. There are also brown discount effects evident for lower-rated properties within F- and G-rated EPC properties at the higher end of the pricing distribution. Moreover, the potential energy efficiency rating (score) also shows increased effects with sales prices and appears to minimise any brown discount effects. The findings imply that energy performance is a complex feature that is not easily “averaged” for valuation effect purposes.

While numerous studies have investigated the pricing effects of EPCs, they have tended to provide a single estimate to determine the relationship with price. This paper extends the traditional analytical insights beyond the conditional mean estimate by examining the quantiles of the relationship between EPCs and house prices to enhance the understanding of this esoteric and complex issue. In addition, this research applies the assessed energy efficiency potential to establish whether effective cost improvements enhance the relationship with sales price and capitalisation effects.

The paper's objective is to empirically study the effects of building refurbishment on the prices of the dwelling units in a contiguous housing estate in Hong Kong.

In a congested living environment like Hong Kong, it is difficult, if not impossible, to have a view unobstructed by buildings. As such, the quality of views is dependent on the aesthetic quality of surrounding buildings. It is likely that poorly maintained buildings will impose negative visual effects on their immediate surroundings. Refurbishing these poor buildings should, therefore, reduce or even counter this negative externality. To study the positive externality brought about by building refurbishment, a hedonic price analysis was conducted on a set of panel data consisting of property transactions in a large housing estate located in Pokfulam. This estate was chosen because its adjoining buildings underwent refurbishment in 1998.

The results showed that the refurbishment increased significantly the prices of those properties which faced refurbished buildings, keeping other things constant. The increments, on average, amounted 6.6 per cent of the prices of the properties.

Building refurbishment can have various scopes and scales but this study did not consider how the characteristics of the building refurbishment affected the prices of neighbourhood properties.

Given the problems of aging buildings in most urban areas, the results presented significant practical implications for building refurbishment and urban renewal as a whole. Developers or property owners may be lured to invest in the refurbishment of adjacent dilapidated properties with a view to enhancing the values of their own properties.

Although previous studies analytically suggested that building refurbishment created positive externality, this study is the first attempt to explore this connection.

The purpose of this paper is to fill an existing gap in the field. A transaction-based hotel price index for Europe is constructed to provide a true measure for hotel real estate performance. The index will enable investors enhance investment decisions in many ways: to assess individual property performance; to make an objective decision about where to invest and in which property type; to assess the relative performance of hotel assets to all other sectors and consequently reach optimal funds allocation decisions. This will allow investors to time their acquisitions/disposals according to the hotel property cycle.

Data include 495 hotel property transactions in Europe during the period between 2004 and 2013. Transaction prices and property characteristics were collected from a variety sources published by hotel agents and consultants, property magazines, newspapers, tourist board, individual property and hotel association registers and web sites. Data include property name, sale price, size, time of sale, location, buyers and sellers. A hedonic pricing model is developed where the transaction price is regressed on the different characteristics. The index is calculated by taking the anti-logs of regression coefficients of the year index.

This paper claims that the hotel property price index (HPPI) portrays a more realistic picture of what happened to hotel property prices in 2008 showing a single digit negative growth vs the hotel valuation index which reports a double digit negative growth rate in European hotel prices during the same year. The real impact of recession showed on hotel property prices in 2009. HPPI shows a crash in hotel property prices by -23.7 per cent in 2009. The year 2011 was marked by more sales transacted through administrators and a looming double-dip recession. Unlike appraisal-based indices, HPPI does not suffer from sticky valuation issues and is not desensitise from distressed properties. Therefore, it was more volatile to distressed situations throughout the period between 2011 and 2013.

Results of this study should be considered with caution. There are limitations associated with transaction data including incompleteness or inaccuracies regarding price data, financing information for each deal, property tenure, and property characteristics.

This work has successfully developed an HPPI for hotel property in Europe. This paper paves the way for transaction-based indices that are more volatile than existing appraisal-based indices. This represents a significant development in tracking price movements of hotel properties in Europe. The index has potential to support research and forecasting of the hotel property cycles.

This paper fulfils an identified need to track hotel property prices and timing the hotel property cycle.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

It has been said that people's expectation towards their living space has been increased. They have a higher requirement not only for the facilities it provides, but also for the quality of property management services. Property management is now regarded as one of the important considerations of buyers in purchasing a property. This research paper aims to investigate the significance of the quality of property management to property buyers.

ISO 9001 Certification and HKMA Quality Award (HKMAQA) are used as the measurement of the quality of property management. The paper used a hedonic price model to determine whether there is a relationship between property management and property price and the inference of property management on property price if there is such relationship. Seven private residential estates in Ma On Shan with similar locational characteristics were selected in the research.

The empirical results show that property management has a significant and positive relationship with property prices. People are willing to pay 4.92 percent and 2.84 percent more on properties managed by a property management company that is ISO 9001‐certified and HKMAQA winner respectively.

The implications of the results imply that well‐recognized property management increases the value of a property and attracts second‐hand property buyers, and quality property management adds value to properties and hence increases the property price.

The research has contributed an indication of the amount a household would be willing to pay on quality property management services as a reference for investors, users, developers and property management services providers.

Investors often utilize brokers to assist them in property acquisitions. These brokers are compensated through a cooperative commission, or bonus, that is publicized on the listing service. The purpose of this paper is to determine the relationship between advertised compensation packages and selling price, time-on-market and listing characteristics.

To examine variables likely to influence earnings of the buyers' broker, this study utilizes multiple and logistic regressions. Given the range of prices found in the 196,276 listings, the data was sorted on listing price and then split into ten, approximately equal, deciles.

The explanatory power of models with cooperative commission as the dependent variable was highest in the lowest deciles with type of financing, size and distressed status being highly significant. When comparing list- to selling price the average was 96.1%. As cooperative commission increased, the higher priced parcels sold at a higher price relative to list price. This potentially justifies higher cooperative commissions or exemplifies the principal-agent problem where effort is based on potential earnings. Fixed bonuses were used predominately for parcels under $62,234, likely to provide a minimum earnings amount. However, surrounding the median, it seems they may differentiate a property.

This research provides insight for practitioners on the impact of different variables, including cooperative commissions, on sale price and time-on-market. For example, cooperative commission increased for properties in the outer deciles implying that agents may be compensating for suspected difficulty. Additionally, the seasonality findings imply that agents can determine when to list and when to provide a fixed bonus to solicit attention. Results also suggest that practitioners will find it beneficial to market at an appropriate price rather than list high to create negotiating room.

This paper follows only one paper that covered a similar topic. However, this paper uses twenty years of multi-unit property listings from a major US city from 1996 to 2015. The focus on multi-unit properties is an effort to focus on a more sophisticated group of buyers that may be more experienced and make decisions more rationally.

The aim of this study is to add to the emerging knowledge base in the UK and be of relevance to land use planners and all stakeholders in property taxation. Urban green open spaces are valuable environmental resources often associated with positive influences for quality of life and property value.

Using a hedonic pricing specification, this paper measures the proximate effect of public green space on residential property value. It examines the relationship between 3,854 residential sales transactions and public green spaces across the Belfast housing market gathered from Land and Property Services throughout the year 2011 showing the percentage effect on property value with respect to distance to public green spaces.

The results show that, ceteris paribus, urban green space has a significant positive impact on proximate residential properties sale price for the terrace and apartment sectors and that terrace and apartment property located closer to public green spaces achieved increases in sale price of up to 49 per cent. Adjacency to green open space produced significant property value premiums in only two of the four housing types analysed, with limited statistically significant proximate effects evident for the detached and semi-detached sectors, a finding which has important social and public policy implications.

A number of empirical studies have demonstrated that public green space, such as urban parks, have a positive impact on property values. However, there is a paucity of empirical research on this relationship in the UK. This study serves to address this gap by examining the effect of public green spaces on house price within the medium-sized regional city in the UK.