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The purpose of this paper is to investigate how the 2007 global financial crisis (GFC) changed financial disclosure behavior using a sample of US equity real estate investment trusts (REITs) from 2000 to 2015.

The authors use panel data spanning from 2000 to 2015 to examine the impact of the GFC on REITs’ earnings management (EM) after controlling for other factors (including the market shock in 2007 and 2008). The measurements of EM are estimated by using the models developed from literature such as modified Jones models. The static panel data regression models are used to estimate the impact of GFC on the REITs’ EM.

The authors find that REITs are more likely to engage in income-increasing EM to embellish their financial reports during the GFC. However, the magnitude of the use of EM to manipulate disclosed financial information decreased following the GFC, indicating an improvement in the quality of financial disclosure as a consequence of the enhancement of the regulatory environment. REITs also changed the manner in which their EM behavior responded to the main factors in the market following the outbreak of GFC.

This study contributes to the finance and accounting literature by providing the first empirical test results concerning how the financial disclosure behavior and quality of listed portfolios and companies such as REITs have changed corresponding to the enhancement of the regulatory environment and adverse market conditions brought by GFC.

This study provides references for investors, auditors, and regulators to help them make adjustments for and improve the interpretation of the disclosed financial information.

This is one of the first empirical study testing the impact of the GFC on EM. It is also the first empirical study investigating the impact of GFC on the financial disclosure behavior of REITs.

There has been declining home ownership and increased acceptance of long-term renting in many western countries including Australia; this has created a problem when examining housing markets as there are dual demand and include both owner-occupiers and investors. The purpose of this paper is to examine the long-run relationship between house prices, housing supply and demand, and to estimate the effects of the two types of demand (i.e. owner-occupier and investor) on house prices.

The econometric techniques for cointegration with vector error correction models are used to specify the proposed models, where the housing markets in the Australian states and territories illustrate the models.

The results highlight the regional long-run equilibrium and associated patterns in house prices, the level of new housing supply, owner-occupier demand for housing and investor demand for housing. Different types of markets were identified.

The findings suggest that policies that depress the investment demand can effectively prevent the housing bubble from further building up in the Australian states. The empirical findings shed light in the strategy of maintaining levels of housing affordability in regions where owner-occupiers have been priced out of the housing market.

There has been declining home ownership and increased acceptance of long-term renting in many western countries including Australia; this has created a problem when examining housing markets as there are dual demand and include both owner-occupiers and investors. This research has given to the relationship between supply and dual demand, which includes owner-occupation and investment, for housing and the influence on house prices.

A review on additive manufacturing (AM) of shape memory polymer composites (SMPCs) is put forward to highlight the progress made up to date, conduct a critical review and show the limitations and possible improvements in the different research areas within the different AM techniques. The purpose of this study is to identify academic and industrial opportunities.

This paper introduces the reader to three-dimensional (3 D) and four-dimensional printing of shape memory polymers (SMPs). Specifically, this review centres on manufacturing technologies based on material extrusion, photopolymerization, powder-based and lamination manufacturing processes. AM of SMPC was classified according to the nature of the filler material: particle dispersed, i.e. carbon, metallic and ceramic and long fibre reinforced materials, i.e. carbon fibres. This paper makes a distinction for multi-material printing with SMPs, as multi-functionality and exciting applications can be proposed through this method. Manufacturing strategies and technologies for SMPC are addressed in this review and opportunities in the research are highlighted.

This paper denotes the existing limitations in the current AM technologies and proposes several directions that will contribute to better use and improvements in the production of additive manufactured SMPC. With advances in AM technologies, gradient changes in material properties can open diverse applications of SMPC. Because of multi-material printing, co-manufacturing sensors to 3D printed smart structures can bring this technology a step closer to obtain full control of the shape memory effect and its characteristics. This paper discusses the novel developments in device and functional part design using SMPC, which should be aided with simple first stage design models followed by complex simulations for iterative and optimized design. A change in paradigm for designing complex structures is still to be made from engineers to exploit the full potential of additive manufactured SMPC structures.

Advances in AM have opened the gateway to the potential design and fabrication of functional parts with SMPs and their composites. There have been many publications and reviews conducted in this area; yet, many mainly focus on SMPs and reserve a small section to SMPC. This paper presents a comprehensive review directed solely on the AM of SMPC while highlighting the research opportunities.