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In this paper, it is argued that neo‐classical location theory is of limited value in conceptualising the structure of urban office markets. Rather there are sound theoretical and technical arguments for segmenting office markets into distinct submarkets. It is further argued that submarkets, rather than being based on prior knowledge of agents or researchers, should be derived empirically. As an illustration the authors use principal components analysis and cluster analysis to construct office submarkets. The results reported are based on the analysis of a unique dataset of asking rents, physical and locational characteristics of properties on the market in the cities of Glasgow and Edinburgh in the 1990s. From the empirical evidence, it is clear that different factors are important in influencing the structure of the office market in Scotland’s major urban centres.

The purpose of this paper is to address the variation of efficiency of local office markets. It has long been argued that as data in the property market are based on valuations, it has a tendency toward smoothing or stickiness. The accuracy of valuations is shown to be partially dependent on local variable factors such as the extent of information, the variability of local cycles and the heterogeneity of the stock. This paper assesses the efficiency of local office markets in nine cities of the UK by estimating unsmoothed annual time series of rents and returns and comparing with the original valuations.

The paper uses an econometric approach to identify true unobserved returns from observed smoothed data. It uses desmoothing techniques and compares the volatility of smoothed and desmoothed underlying returns. It then looks for autocorrelation over time in the errors where the presence of autocorrelation rejects the assumption of market efficiency.

Examining, regional city office markets, the results suggest that financial centres have the least efficient markets because of their high level of variability. Other provincial cities are characterised by weak‐form efficiency. Market cyclicality is found to be a key factor affecting valuation accuracy.

Research in regional markets is often constrained by shortness and low frequency of time series observations. This limits the analysis and the ways in which it could be developed. Issues also relate to the method of desmoothing adopted.

Key financial centre are found to be less efficient markets than other cities. Thus, price changes fully embody all previous information in regional centres but not in London or Edinburgh. Periods of significant cyclical volatility tend to cause valuation inaccuracy and pricing problems.

There are spillovers from inefficiencies in property market pricing that can affect other sectors of society directly (through increased costs) or indirectly (by contributing to macroeconomic cyclicality).

This is the first paper to explicitly consider the efficiency of regional city office markets and to identify the true unobserved returns series in each city office market. Its findings, perhaps unexpectedly, suggest that most regional city office markets are more efficient at processing pricing information than London.

The purpose of this paper is to analyse the gap between government bonds (index-linked and long-dated) and real estate yields/capitalization rates over time for the UK, Australia and the USA. The global financial crisis was a sharp shock to real estate markets, and while interest rates and government bond yields fell in response around the world, real estate yields (cap rates) have risen.

The absolute yield gap levels and their variation over time in the different countries are compared and linked to the theoretical reasons for the yield gap and, in particular, a changing real estate risk premium. Within this context, it assesses whether there have been structural breaks in long-term relationships during booms and busts based on autoregressive conditionally heteroscedastic (ARCH) models. Finally, the paper provides further insights by constructing statistical models of index-linked and long-dated yield gaps.

The relationships between bond and property yields go through a traumatic time around the period of the global financial crisis. These changes are sufficiently strong to be statistically defined as “structural breaks” in the time series. The sudden switch in the yield gaps may have stimulated a greater appreciation of structural change in the property market.

The research focuses on the most transparent real estate markets in the world, but other countries with less developed markets may respond differently.

The practical implications relate to how to value real estate yields relative to interest rates.

This is the first paper that has compared international yield gaps over time and examined the role of the gap between index-linked government bonds and real estate yields.

Property markets are considered efficient when the market price of a transacted property equates with its market worth. If this condition holds then identical properties should sell or let for the same price. However, properties are heterogeneous, and information and operational constraints exist. Consequently, events in the transaction process and factors like time on the market, buyer and seller psychology and agent behaviour influence property prices, whereas in a perfectly efficient market they would have no impact. This gives rise to similar units selling for different prices. This paper examines the relationships between commercial property prices and time on the market for property. Tests fail to find evidence of a direct relationship between time on the market and transacted rents, time on the market and asking rents, and asking rents with transacted rents. The reason for the insignificant results could be because landlords would rather offer potential tenants non‐price incentives such as rent‐free periods, rent break clauses, shorter leases or fitting‐out costs to achieve a faster let than discount the agreed contractual rent. A more detailed examination of the physical, location and market conditions that determine the expected time on the market for a property to let is undertaken. Results suggest that the state of the property market is an important influence on the time it takes to let a property, and concurs with the evidence found in housing studies. With the support of our empirical findings and evidence from the housing market, we conclude that including measures of non‐price incentives, landlords’ motivation, tenants’ characteristics, and search costs in our model may explain the relationship more fully.

The purpose of this paper is to question whether traditional cost approaches apply to the valuation of an airport now that they are no longer public utilities but very much commercial enterprises.

The research discusses the business model, the ownership and the importance of non-aviation business for an airport. It examines the principles of company valuation and International Accounting Standards in determining an airport’s value.

The paper argues that an airport can be viewed as a specialist property company. A key issue is the role of separability of these assets. The paper concludes that previous research has taken a too restrictive view of this concept. An airport’s value is therefore based on the valuation of its component assets according to common property valuation methods.

The paper challenges the traditional view of airport valuation.

The paper rethinks the way airports should be valued.

The purpose of this paper is to examine the experience of the UK office market in embracing green buildings. The empirical analysis considers the spatial pattern and growth of green buildings in cities since 1990. It examines the perceived industry wisdom that the establishment of a green premium for occupation is the key to greening the office stock.

The paper begins by looking at the concept of a green office and then examines the evolving attitudes towards these offices and the issues for local market dynamics. The empirical analysis examines the current spatial pattern of green office buildings in the UK and then their impact on city office markets, where there is a major concentration. The latter part of the paper examines the growth of green offices since 1990. It begins with national trends and then examines the evolution of green development in individual cities.

The initial adoption of green offices was slow. There has been a dramatic rise in green offices at the peak of the past decade’s development boom and in the immediate years that followed. Market acceptance of the importance of greenness appears still to be in the melting pot with limited market transactions since 2008. Green offices represent only 2.7 per cent of office buildings and 12 per cent of total space in the market. Most green offices are in the principal cities with the largest concentration in London. London represents the only potential locality where a green market could have been established so far.

The paper provides an empirical assessment of the growth of green offices in the UK.

This is the first paper to consider the development and scale of green offices in the context of local markets. It challenges the perceived wisdom that a green premium is central to the green transformation to date.

The primary objective of this study is to apply hedonic regression techniques to an office market to identify and quantify the significant contribution of the different attributes to office rents. This technique is widely used in the analysis of housing markets but an extensive literature review reveals little application in commercial property markets. The study analyses a sample of 477 asking rents, together with a series of locational and physical attributes, for the City of Glasgow. The results explain approximately 60 per cent of variation in rents across the city, emphasizing the importance of age and location as principal determinants of rents.

The objective of this paper is to re‐appraise intra‐urban rent models in the context of a multi‐nodal landscape. Primarily, the study focuses on the early work of Alonso and, more recently, Di Pasquale and Wheaton. Although the latter use a more sophisticated approach, both models lead to similar outputs, notably a declining rent gradient from the central business district (CBD). However, throughout the twentieth century there has been a considerable process of urban industrial change. Di Pasquale and Wheaton recognise this and argue that this has led to an almost flat industrial rent gradient.

To assess the current impact on industrial rents a hedonic rent regression model is applied which enables us to standardise for property characteristics.

The results support the hypothesis that the rent gradient from the CBD for a large city is still downward‐sloping, albeit very shallow. More interesting is the significance of proximity to motorway junctions. The analysis supports the hypothesis of a multi‐nodal rent surface. Proximity to a motorway junction is the most important locational variable with a much steeper and negative gradient than that to the CBD, albeit over a shorter distance.

These results imply that the draw of the CBD in terms of agglomeration economies and its accessibility to labour for a city the size of Glasgow still remains, but its attractions are much denuded with the development of a national motorway network.

Property analysts and researchers have a fundamental requirement for reliable property market data. Historically, data on the commercial and industrial property market are weak, although a number of property indices have now been published for 20 years. Considerable debate has arisen as to the appropriateness of these data for meaningful and reliable econometric analysis. A particular problem is the existence of serial correlation. This paper considers the form and the nature of spatial data and examines the implications for their interpretation and analysis. The primary concern is with rent and yield data with a particular focus on those derived from valuations. It is concluded that the use of valuation data does not appear to be a constraint or the source of serial correlation. In addition, its existence parallels that found in other economic time series data of longer standing. A possible solution is the disaggregation of the data to the local level, which may reduce the smoothing induced by aggregation.