Search results

This article aims to explore recent trends in farmland rental markets using data for the state of Illinois. Trends in the types of rental agreements used and the relationship between the rental rate for those contracts, land values, crop revenues, production costs, and farm returns are examined.

Data from various sources and at different levels of aggregation for the state of Illinois are used to provide illustrations of historical trends in farmland rental agreements and rental rates, and how they are related to various market and industry factors. Focus is placed on the more recent period since 2005 characterized by high commodity price levels and volatility.

The majority of farmland in the Midwest is controlled under rental agreements which are increasingly of the fixed cash rent type. Rental rates have increased, but at a slower rate than farm returns. Average rental and interest rates imply that land values are consistent with the current market environment. Aggregate rental rates mask considerable variation in farm‐level rents, only a portion of which can be explained by differences in soil productivity. Given the current level of price volatility, the tenure position of a farm operation has a significant effect on downside risk exposure.

The illustrations provided in this paper should be of interest to researchers working in the area of farmland values and rental agreements, as well as to practitioners including farmers, landowners, and professional farm managers. The findings should motivate additional research and recognition of the importance of tenure position to the performance and risk exposure of grain farms.

In the 1970s, yields on UK commercial investment property appear to have been influenced principally by the cost of long term capital and the rate of rental growth. Consequently, yields tended to respond to the economic cycle, falling in times of economic recovery and rising when the economy moved into recession. However, in the 1980s so far, yield trends appear anomalous by comparison. Yields failed to rise on the advent of the recession in 1980–81, despite a sharp rise in the cost of capital, yet rose in 1982 just when the economy began to emerge from recession, and have since continued to rise as economic recovery and rental growth have gathered pace. This paper seeks to explain recent movements in investment property yields and to reconcile these with trends in the 1970s. It concludes that the behaviour of yields in the 1980s can be explained by the dominance of institutional investors in the property market, and by their perception of the changing risk attributes of property (compared with alternative investments) which have resulted from changes taking place in the investment markets and the UK economy.

Investment returns from property derive from rental income and change in value, and a property's value is a function of the current rent and the expected future rent. So, ultimately, investment returns derive from rent, and successful investment will depend on an understanding of the principles and forces which explain the market's determination of rental value. This paper explains the significance of supply elasticity to the determination of rental value and investigates the probable elasticities of the four main types of investment property. It concludes that, due to the very inelastic supply of farmland and prime High Street shops, trends in rental growth will reflect the profitability of occupation whereas, in general, the rental value of office and industrial property will tend to reflect development costs, due to their relatively elastic supply. The article investigates how far such predictions appear to be supported by evidence and briefly discusses the relative impact of obsolescence on the four property types.

This study aims to review the approaches used in the analysis of rental income of residential property in Abuja, Nigeria, to strengthen the existing investment performance approaches initially relied upon by property investors towards having a better and reliable performance evaluation for property investment decision-making.

With the adoption of combined methodological approaches, quantitative data on rental history (2006–2016) were collected on the randomly selected residential investment properties (block of flats) available in the portfolio of estate surveying firms in the different locations/sub-markets of the study area. Data collected were analysed with the frequency mean and growth rate.

All the methodological approaches adopted for analysis displayed varying performance results. No particular sub-market maintains the same ranking position in any of the approaches. The developmental phases previously used as an indication of yield in the study area do not correspond with the status of rental income of sub-markets. Yield has been observed to be a mere attraction to property investment; it does not translate to income growth. Mean income (though a good indicator of changes in rental income) is not a reliable indicator of growth in income, and growth in the rate of income omitted the changes in rental income during the holding period.

The study was restricted to historical rental income data on a block of flat-type residential property, and it does not include capital value analysis or inquire into the factors responsible for variation in rental income during the study period. The outcome of this study is only applicable to a block of 4 number three-bedroom flats residential property type.

Multiple simple methods of analysing rental income performance should be preferred to the single complex method. This will simplify investors’ rental income characteristics of investment towards a better understanding of rental property investment analysis. That rental value appreciates with time does not translate to an increase in the actual rental income of residential investment property.

Through these performance approaches, ranking of the sampled properties in the study area sub-markets will enhance investors’ traditional diversification planning across the study area for an enhanced combination that can achieve latent profitability. The attention of investors is hereby called to these multiple approaches to enable them to merge their investment objectives with any or a combination of these approaches towards making rational investment decisions.

This seems to be the first advocacy for methodological paradigm shift applicable to direct residential property investment performance in Nigeria, using transaction rather than appraisal data.

Examines the threats posed to the UK rental industry by consumers' decision to buy. Traces the history of the UK rental industry, including the decline of black and white against the boom of colour, and the rise of brand consciousness. Addresses marketing issues including pricing and the location of showrooms. Discusses the consequences of competition in the marketplace. Highlights the results of a survey into consumers' attitudes on buying or renting. Asserts that consumer motivations to continue or renew a rental agreement are not the same as at the initial decision to rent, so rental companies must adopt new marketing tactics. Concludes that rental companies must reverse the trend for replacement decisions to favour purchase over renting or their future looks bleak.

Presents an empirical investigation of office rental trends for some of the largest cities in Europe. Uses annual data for the period 1983‐91 to test the changes in rental values and fluctuations in economic activity. Includes a review of previous office market studies and an assessment of the research direction and information requirements of current European property research. Suggests that European rental values are determined by similar demand‐side variables and, in particular, real gross domestic product (GDP).

Office decentralization has been developing rapidly in Hong Kong since the early 1980s. Office tenants relocated their businesses to the Decentralized District (DD) with the benefits of lower rent, higher flexibility of space use and better supporting facilities. This study examines office decentralization in Hong Kong's office market, both the upturn and downturn. It analyzes the vacancy trend of the Grade A office market in Hong Kong: DD versus Central Business District (CBD), based on a Decentralization Index. This study found that the CBD is a more stable office market sector than the non‐CBD. During a market upturn, the Grade A office market in Hong Kong DD has outperformed that in the CBD. However, during a market downturn, the vacancy rate in the DD tends to increase at a greater rate than that in the CBD. The study also found that periods with a sufficiently high index of decentralization generally experienced increases in CBD rent premiums.

Examines the economic basis of current approaches to analysing and forecasting the office property market. It considers both an aggregate regional and urban approach to these tasks, and contrasts these with a disaggregated urban/intra‐urban approach. Notes the need for local area forecasting and argues that this is most appropriate at the urban level. Appraises the barriers to future development of aggregate urban models and notes that it is currently possible to use a disaggregated approach to provide detailed local forecasts. Critically reviews the disaggregated approach with the aid of a case study of the Paisley office market. Concludes that there are considerable shortcomings in data and in the understanding of office market dynamics, and that more analysis should precede the development of forecasting models.

This paper explores the relevance of inter-market research to improving knowledge in property markets. It focuses on Nigeria's emergent property market which JLL (2018) suggests is information challenged. Given the country's lack of property data management, it is posited that inter-market studies can help to improve information supply and market knowledge. Inter-market research in Nigeria is compared with the UK's established market where such research is a key information source.

An online database search was used to collate published intra-market and inter-market research on Nigeria's property market between 2009 and 2019. The inter-market research were thereafter examined as to volume and scope (geographical and thematic) and compared with the UK's.

Relative to the UK, the volume as well as scope (geographical and thematic) of inter-market research in Nigeria are respectively far lower and narrower, thereby producing less information overall. Only a few Nigerian studies provide insights of two or more local markets. There is little or no research on many important market issues and other urban markets in the system. This suggests that inter-market research is relatively undeveloped in Nigeria.

The online search approach used to assemble extant research in the absence of a research repository may have resulted in the omission of some inter-market research undertaken between 2009 and 2019 if these were not published online.

The dearth of inter-market research in Nigeria suggests an inadequately researched market. This limits market information, market knowledge, suggests a low market competitiveness with implications for development in view of the role of property in the modern economy.

In view of the little attention given to inter-market research in Nigeria, this study draws attention to its potential for improving market knowledge by the production of information which has a wider market relevance.

This study aims to identify the pandemic’s impact on house rents by applying a rental gradient analysis to compare the pre-and post-COVID-19 periods in Auckland. The micro-level household census data from the Integrated Data Infrastructure of Statistics New Zealand is also applied to scrutinise this WFH trend as a robustness check.

Since the outbreak of COVID-19, work-from-home (WFH) and e-commerce have become much more common in many cities. Many news reports have contended that households are leaving city centres and moving into bigger and better houses in the suburbs or rural areas. This emerging trend has been redefining the traditional theory of residential location choices. Proximity to central business district (CBD) is no longer the most critical consideration in choosing one’s residence. WFH and e-commerce flatten the traditional bid rent curve from the city centre.

The authors examined micro-level housing rental listings in 242 suburbs of the Auckland Region from January 2013 to December 2021 (108 months) and found that the hedonic price gradient models suggest that there has been a trend of rental gradient flattening and that its extent was almost doubled in 2021. Rents are also found to be increasing more in lower-density suburbs.

The results imply that the pandemic has accelerated the trend of WFH and e-commerce. The authors further discuss whether the trend will be a transient phenomenon or a long-term shift.

Suppose an organisation is concerned about productivity and performance issues due to a companywide ability to WFH. In that case, some standard key performance indicators for management and employees could be implemented. Forward-thinking cities need to focus on attracting skilful workers by making WFH a possible solution, not by insisting on the primacy of antiquated nine-to-five office cultures.

WFH has traditionally encountered resistance, but more and more companies are adopting WFH policies in this post-COVID era. The early rental gradient and the micro-level household data analysis all confirm that the WFH trend is emerging and will likely be a long-term shift. Instead of resisting the change, organisations should improve their remote work policies and capabilities for this WFH trend.

So far, empirical studies of post-COVID urban restructuring have been limited. This study aims to empirically test such an urban metamorphosis by identifying the spatial and temporal impacts of COVID on house rental gradients in the Auckland Region, New Zealand. The authors apply rental gradient analysis to test this urban restructuring hypothesis because the method considers the spatial-temporal differences, i.e. a difference-in-differences between pre-and post-pandemic period against the distance measured from the city centre. The method can control for the spatial difference and the endogeneity involved.