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This study investigates the relation between residential property values and both property taxes and public services in Georgia’s counties. Capitalization theory predicts that property values relate negatively to property taxes, and positively to public services. Palmon and Smith (1998) state that errors in public service measures create a capitalization coefficient bias that makes it difficult to isolate tax effects from public service effects. This paper is a first step in defining and quantifying public services and their marginal effect on housing values. It develops public service measures in four quality-of-life areas – economy, education, health, and public safety. The models suggest a strong negative relation between effective tax rates and property values, and a significant positive association between the public service measures and property values. Analyses indicate that property taxes are capitalized into housing prices at greater than 100%, suggesting prior underestimations based on measurement errors in public service variables.

Examines the nexus of economic development, induced crime and property values focused on casino gambling introduced to Atlantic City, New Jersey. Uses econometric techniques to calculate the effects to which monetary increase in property values is directly attributable to the casinos and the extent to which these values have been diminished due to crime. Concludes that the gain in property taxes that a municipality may realise when a reduction in its property crime rate imbalances assessed values.

The purpose of this paper is to assess the effect of urban regeneration and renewal activities initiated by the Osun State Government in Nigeria on the rental values of commercial properties in Osogbo, the state capital between 2008, before the urban renewal programme through 2017, after the urban renewal programme had been completed.

Primary data utilised for this study were collected from all the Estate Surveying and Valuation firms involved in the formal management of commercial properties in Osogbo, Osun-State, Nigeria. Information on the types of urban infrastructure renewed and rental values of 63 commercial properties from 2008 to 2017 were obtained from the sampled estate surveying and valuation firms practicing in the study area. Data were analysed using descriptive statistics, analysis of variance and Duncan post hoc test.

The findings showed that physical urban infrastructure such as roads, drainages, water supply and wastes disposal have been upgraded in the study area. Also, the study established that the urban regeneration programme had significant impact on the rental values of commercial properties in Osogbo, arising from the statistically significant difference (F(7, 600) = 22.264, p<0.000) between and within annual rental values of commercial properties in the study area. The annual rental values of the commercial properties also exhibited considerable variation based on the Duncan post hoc test.

The findings from this study indicate that urban regeneration programme by the Osun state Government has significantly increased the investment performance of commercial properties in the study area. Hence, while investors could achieve higher returns on investment by venturing into commercial property investment, revenue could also be generated for government through the collection of property taxes in the study area.

This study is one of the few studies that have analysed the effect of urban regeneration programme on commercial property values from the perspective of an emerging African economy, using data from Osun State, Nigeria.

The purpose of this study was to assess real estate cycles and their impact on property values in Gaborone, Botswana. Investors and real estate professionals in Botswana rarely assess property cycles when purchasing property. This study therefore, aims to assess whether real estate cycles do exist, their duration and the type of real estate cycle that Botswana experiences.

Data was collected from primary and secondary sources. This included sourcing out information at the Deeds Registry Office in Gaborone on residential property sales and a questionnaire to 100 property investors. A record was made of properties that were sold for the period of 16 years starting from the year 2000 to 2016. Secondary data on the other hand was also collected from published and unpublished books, academic journals, professional journals, magazines, reports and monographs. A quantitative approach was used in this study. Data was analysed using Microsoft Excel and subsequently presented in form of tables and graphs.

The findings from the literature review revealed that there are four phases in the real estate cycles (recovery, expansion, oversupply and recession) and each has distinct features that an investor must be aware of to avoid consequences in the property market. The results from the data analysis revealed that real estate cycles do exist in Botswana as identified during the past 16 years. The cycle that Botswana experiences is called the kitchen cycle. It was also evident that Botswana experienced three cycles lasting five to six years each. Furthermore, it was discovered that all phases in the real estate cycles affect property values.

There is relatively little information about property cycles and their timing in Botswana. Therefore, this study may assist valuation surveyors to make promptly informed decisions on property investment through cycle assessment and hence positively inform the public and financial stakeholders. Society might find this beneficial in as far as decision-making is concerned when thinking of investing in real estate. The current system at the deeds office is cumbersome and time consuming, thus making it difficult for the researchers and possibly the public to analyse the property market. This study therefore, may encourage the Deeds Registry Office to computerize their records.

There is relatively little information about property cycles and their timing in Botswana. Therefore, this study may assist valuation surveyors to make promptly informed decisions on property investment through cycle assessment and hence positively inform the public and financial stakeholders.

Society might find this beneficial in as far as decision-making is concerned when thinking of investing in real estate.

To the best of the authors’ knowledge, this paper is the first of its kind in Botswana to extend the knowledge of real estate cycles and their impact on property cycles in Botswana.

As regards the assessment of the market values of properties that compose real estate portfolios, the purpose of this paper is to propose and test an automated valuation model. In particular, the method defined allows for providing for objective, reliable and “quick” valuations of the assets in the phases of periodic reviews of the property values.

Aiming at both predictive and interpretative purposes, the method, based on multi-objective genetic algorithms to search those model expressions that simultaneously maximize the accuracy of the data and the parsimony of the mathematical functions, is applied to a sample data of office properties characterized by medium and large size, located in the city of Milan (Italy) and sold in the period between 2004 and 2015.

The model obtained could be an integration of the canonical methodologies (market approach, income approach, cost approach) implemented in the assessment of the market values of properties, so as to provide an additional tool to verify the results. In particular, the inclusion of economic variables in the model is consistent with the need to reiterate the valuations, contextualizing them to the locational characteristics and to the current property cycle phase in the specific area.

The model can be applied by all the operators involved in the periodic reviews of the values of property portfolios: from real estate funds’ insiders, in order to monitor the values obtained through the canonical approaches, to the public institutions, such as the revenue agencies, in order to ensure the fair payment of the taxes through the updating values of the properties according to the actual and current market trends.

The method proposed can be a valid support for all public and private entities that hold significant property assets and that, for various reasons (periodic reviews of the balance sheets, sales, enhancement, investment, etc.), require cyclical updated values of the properties. The automated valuation model developed can be used for the assessment of “comparison” values with the estimates values obtained by other assessment techniques, in order to ensure a further monitoring tool of the results from the subjects involved.

The paper aims to investigate the value-relevance of changes in fair values of investment property reported under International Accounting Standards (IAS) 40 and International Financial Reporting Standards (IFRS) 13.

Multivariate regression models are used to regress cumulative market-adjusted stock returns of real estate firms on changes in fair values, along with control variables and corporate governance variables, in order to examine the research question.

Using hand-collected data from the Australian Real Estate Industry (AREI), the authors find that changes in fair values of investment property are value-relevant for equity investors. The authors further find that using unobservable inputs in an active market (Level 3 inputs) does not diminish the information content of fair values. The authors document that properties valued exclusively by directors have a significantly reduced value-relevance, whereas property valuations made collectively by both directors and independent valuers have superior value-relevance, possibly owing to the combination of inside knowledge and externally imposed monitoring. Collectively, the findings suggest that in the real estate industry, where unobservable inputs are commonly used to determine fair values of properties, the fair values determined subjectively are perceived to be sufficiently informative and relevant.

The authors' findings have important implications for accounting standard-setters in considering whether an external valuation should be required and whether the extensive measurement-related fair value disclosure requirements are useful.

The study extends previous archival evidence and complements prior commentaries on experimental and analytical work in the Australian regulatory environment.

A tax based on land value is in many ways ideal, but many economists dismiss it by assuming it could not raise enough revenue. Standard sources of data omit much of the potential tax base, and undervalue what they do measure. The purpose of this paper is to present more comprehensive and accurate measures of land rents and values, and several modes of raising revenues from them besides the conventional property tax.

The paper identifies 16 elements of land's taxable capacity that received authorities either trivialize or omit. These 16 elements come in four groups.

In Group A, Elements 1‐4 correct for the downward bias in standard sources. In Group B, Elements 5‐10 broaden the concepts of land and rent beyond the conventional narrow perception, while Elements 11‐12 estimate rents to be gained by abating other kinds of taxes. In Group C, Elements 13‐14 explain how using the land tax, since it has no excess burden, uncaps feasible tax rates. In Group D, Elements 15‐16 define some moot possibilities that may warrant further exploration.

This paper shows how previous estimates of rent and land values have been narrowly limited to a fraction of the whole, thus giving a false impression that the tax capacity is low. The paper adds 14 elements to the traditional narrow “single tax” base, plus two moot elements advanced for future consideration. Any one of these 16 elements indicates a much higher land tax base than economists commonly recognize today. Taken together they are overwhelming, and cast an entirely new light on this subject.

The construction of new transportation infrastructure tends to affect the adjoining properties, economy and environment. In particular, studies have investigated the change in the value of properties due to increased access to transportation facilities. The purpose of this paper is to examine the impact of the recently completed light rail on residential property values in Sydney, Australia.

Sales data of residential properties was extracted from the CoreLogic’s RP database. The hedonic pricing model was used to assess the effect of proximity to the light rail stops. Two models were developed for the announcement and construction phases of the light rail project.

It was found that during the announcement phase, properties located within the 400 m radius from the station were 3.3% more expensive than those within the 400–800 radius. At the construction stage, the properties within the 0–400 m radius from the stops sold at 3.1% more than those within the 400–800 m radius. This study concludes that a positive relationship exists between the values of residential property and proximity to light rail stations.

These findings would be useful for policymakers to develop land value capture programs for infrastructure funding and to real estate professionals and investors for investment in future transit-oriented development.

Previous studies that aimed at examining the impact of light rails on residential properties values around universities are limited. Hence, this study provides a broad perspective on the impact of light rail on residential properties values.

This paper seeks to explore the dynamics of the spatial distribution of landed residential property values in Singapore in the 1990s. Topics covered include: spatial patterns that can be discerned in the distribution of landed property values; how property values change over time; and how government intervention influenced this dynamic property value surface. Data are collected from the Singapore Institute of Surveyors and Valuers property transaction database, and are analysed by using the geographic information system, parametric and non‐parametric statistics. Findings of this paper contribute to the understanding of the urban dynamics of an Asian metropolis, especially in terms of its residential property market and internal spatial structure.

The purpose of this paper is to consider the likely effect on capital values of prime retail property in major UK urban centres from any legislative ban of upward‐only rent reviews (UORRs) from commercial leases.

The opinion of Leeds‐based valuers regarding changes to yield and rent following a hypothetical ban of UORRs was surveyed and the implied effect on capital values calculated. Rental valuation data were obtained for a portfolio of prime retail properties located in Leeds and its satellite commercial centres, forming a case study. The data were combined with survey responses to develop a valuation model to further consider, in an applied context, the effect on capital values as a result of prohibiting UORRs. The hypothesis tested is that, immediately following enactment, prohibition of UORRs will cause a reduction in capital values of prime retail property in major UK urban centres.

The conclusion drawn from the research is that, based on contemporary professional opinion, the hypothesis is likely to be true though the extent of the reduction will vary as a function of specific lease and property characteristics.

The behaviour of valuers and the issue of subjectivity in valuation is a limitation of this positivist research. An alternative phenomenological approach, perhaps with structured interviews at its core, might produce alternative findings.

This research attempts to quantify the effect on capital values on prime retail property following any ban of upwards only rent reviews, a subject that holds a high level of contemporary interest with all property stakeholders.