Search results

A ROTATING PLASTIC DISC, such as a Frisbee, indicates high lift coefficients. To examine this phenomenon, experimental research was conducted, using a specially‐constructed rotating water tank. Test results demonstrated both lift increase and drag decrease for rotating discs compared to values for nonrotating discs.

In this paper we show, by means of an example of its application to the problem of house price forecasting, an approach to attribute selection and dependence modelling utilising the Gamma Test (GT), a non-linear analysis algorithm that is described. The GT is employed in a two-stage process: first the GT drives a Genetic Algorithm (GA) to select a useful subset of features from a large dataset that we develop from eight economic statistical series of historical measures that may impact upon house price movement. Next we generate a predictive model utilising an Artificial Neural Network (ANN) trained to the Mean Squared Error (MSE) estimated by the GT, which accurately forecasts changes in the House Price Index (HPI). We present a background to the problem domain and demonstrate, based on results of this methodology, that the GT was of great utility in facilitating a GA based approach to extracting a sound predictive model from a large number of inputs in a data-point sparse real-world application.

The purpose of the current study was to examine the relationships among workaholism, organizational citizenship behaviors (OCBs) and gender role beliefs.

Data were collected, through administration of an online survey, from 409 faculty and staff at a large Southeastern university.

Workaholism and OCBs were negatively related. Additionally, both feminine and masculine role beliefs were associated with OCBs.

Future researchers may benefit from examining a sample outside an educational institution.

As our society continues to change, gender role beliefs will become less restricted to our biological genders and it will become essential for organizations to understand how they relate to work behavior (e.g. OCBs). Namely, androgyny may be a desirable trait for employees.

This is the first study to investigate the relationships among workaholism, OCBs and gender role beliefs.

The purpose of this paper is to examine the relationship between house price affordability (HPA) and rental price affordability (RPA) in New Zealand. The cointegration of HPA and RPA is of particular focus given rising house prices and rising rents.

The study examines the lead-lad correlation between HPA and RPA. The method uses a generalised least square technique and the development of an ordinary least squares model.

The study shows that there is an existence of cointegration and unidirectional statistical causality effects between HPA and RPA across 11 regions in New Zealand. Furthermore, Auckland, Wellington and Canterbury are the three regions in which the results detect the most extreme effects amongst HPA and RPA compared to other places in the country. Extended empirical work shows interesting results that there are lead-lag effects of HPA and RPA on each other and on mortgage rates at the national scale. These effects are consistent for both methods but are changed at individual lead-lag variables and amongst different regions.

The study empirically provides useful insight for both academia and practitioners. Particularly in examining the long-run effects, cointegration and forecasting of the volatile interactions between HPA and RPA.

The General Electric TF34—100 high bypass turbofan engine under test for powering the US Air Force A—10 close air support aircraft is two months ahead of schedule. With a rated 9,0001b thrust, it is an optimised version of the TF34—2 with fuselage side mounting, fire resistant fluid lines and oil tank and elimination of the integral fan nozzle.

Residential price levels in Spain vary broadly among markets. Real estate theory explains that prices depend on market characteristics such as vacancy level, land availability, construction supply elasticity to respond to high or low speed to changes on the demand, as well as potential for economic growth, industrial and services activities located inside urban areas, etc. An analysis of prices in Spanish main cities shows that tensions appear to exist in some of them where economic activity shows different dynamism and price level appears to be independent of it. This paper tries to find evidence of the existing relationship between residential prices and economic and demographic factors that are demand determinants such as wages, migrations and productive structure, among others, to explain price formation in Spanish cities. It uses panel data and GLS methodology applied to 71 main Spanish province capitals and cities with more than 100,000 inhabitants. The results show evidence of determinants of housing prices and how some relationships appear to exist between price levels and families’ waged income as well as with population and productive structure in Spanish cities.

Does a company’s country of incorporation or the sector of its activity have a greater influence on the equity returns its shareholders earn? This question has been examined extensively using dummy variable regressions or factor models on pre‐determined characteristics; nevertheless, the results are inconclusive and vary with the range of companies and the time period studied. This study employs an alternative method that finds “naturally occurring” groups of companies based on the quantifiable relationship between the company returns themselves. The resulting groups are then examined in terms of their country and sector composition. The groups indicate that companies clearly cluster by country rather than by sector and that this effect has become more pronounced over time. This has important implications for financial analysts and portfolio managers.

This paper aims to explore the impact of the joint operation of affordability policies and whether their impact is meaningful relative to the size of the affordability crisis. Its purpose is to construct the features of a comprehensive policy package linked to a measurable outcome: solving the affordability crisis in Auckland. This study investigates the scale and nature of an affordability package that responds to three research and policy questions: What should the rate of annual growth of affordable housing be to solve the affordability crisis? Consequently, how long would it take to solve it? And how much would that policy package cost?

In this paper, the authors argue that the disjoint operation of affordability policies is one of the reasons why their impacts relative to the size of the affordability crisis has been small or negligible. Furthermore, this study demonstrates that affordability is as much about raising households’ incomes as it is about lowering housing prices. This study uses a modelling-based framework to simulate some of the levers that local and central governments have to affect housing prices and affordability: direct intervention on the supply-side and subsidies. Specifically, this simulates retention-and-targeting (RT) programs and subsidies to raise deposits via shared ownership (SO) schemes.

This study finds that solving the affordability crisis would take a decade if the supply of affordable housing increases by at least 45% annually. With the introduction of RT and SO programs, it could still be solved within a decade, where the required growth rate decreases to 35%. However, for growth rates between 5% and 10%, the policy goal is met in approximately 40 years, and the SO program becomes exceedingly expensive.

Housing affordability is one of the hottest policy issues in New Zealand and the developed world. In the past decade, a number of affordability policies have been introduced with limited success due to their lack of interoperability and siloed efforts. Results in this paper should be interpreted as the boundaries of what is feasible and realistic in the realm of affordability policies. Therefore, its contribution relies on investigating the multiple effects if the financial, administrative and political barriers to RT and SO programs could be overcome. Its scope is a blueprint for the design of policies in other cities where unaffordability has become extreme.

This study aims to explore a novel framework for housing price bubbles in the Turkish economy during the pandemic. It examines the probability of housing bubble formation relative to the pre-pandemic period and identifies possible determinants of housing bubbles in the Turkish economy.

In this study, a two-stage novel estimation method is applied. In the first stage, bubble periods are identified through the right-tailed supremum augmented Dickey–Fuller test. In the second stage, the determinants of these bubbles are identified, and the housing bubble determinants during the COVID-19 pandemic are compared to the pre-pandemic period.

The findings indicate that there is an asset price bubble in the housing market during the pandemic period. Furthermore, mortgage credit expansion, mortgage credit rates and the depreciation of the Turkish Lira against the USD could increase housing bubble formation. However, housing sector sales to foreign investors do not contribute to housing bubble formation during the pandemic in the Turkish housing market.

To the best of the author’s knowledge, this is the first study to address the relative determinants of housing bubbles in an emerging market context during the pandemic.

This paper aims to introduce a practical expert decision support system (EDSS) for performing location analysis and making real estate location decisions in the organization’s facility and real estate management (FREM) department in presence of several decision criteria, under risk and uncertainty. This tool is particularly useful for making strategic decisions in facility planning, portfolio management, investment appraisal, development project evaluations and deciding on usage possibilities in an unbiased, objective manner.

The proposed EDSS uses fuzzy logic and uncertainty theory as two of the most useful tools to deal with uncertainties involved in the problem environment. The system performs an unbiased mathematical analysis on the input data provided by the decision-maker, using a combination of Analytical Hierarchy Process (AHP) and Global Criterion Method; determines a suitable compromise level between the objectives; and delivers a set of locations that complies best with the outlined desires of the management as the final solution. The application of the system is tested on a real case and has delivered satisfactory results.

The proposed EDSS took the defined objectives, the list of alternative locations, and their attributes as the required input for problem-solving, and used a combination of AHP, Possibilistic approach, and global criterion method to solve the problem. The delivered outcome was a set of proper locations with the right attributes to meet all objectives of the organization at a satisfactory level, confirmed by the problem owners.

The application of such a system with such a degree of preciseness and complexity has been very limited in the literature. The system designed in this study is an Industry 4.0 decision making tool. For designing this system several body of knowledge are used. The present study is particularly useful for making strategic decisions in the domains of portfolio management, investment appraisal, project development evaluations and deciding on property usage possibilities. The proposed EDSS takes the information provided by the experts in the field (through qualitative and quantitative data collecting) as the inputs and operates as an objective decision-making tool using several bodies of knowledge considering the trends and developments in the world of FREM. The strong scientific method used in the core of the proposed EDSS guarantees a highly accurate result.