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This study aims to (1) investigate the association between companies' investment in occupational safety and their financial performance and (2) discuss the importance of occupational safety to overall performance.

Occupational safety is often considered to be a practice that can yield suboptimal return on investment. However, it is not known whether this belief is substantiated by evidence. A mapping review of the eligible research literature (N = 36) regarding firms' investment in occupational safety and their financial performance, published between 1945 and2018, was carried out in the Web of Science database.

By dispelling myths regarding return on investment associated with occupational safety, the findings of this study underscore financial gains firms can obtain by promoting occupational safety measures in their organizations.

These issues are important because they can help policymakers understand the pressures companies face in terms of occupational safety and financial performance sustainability.

This paper aims to examine the relationships between socioeconomic development, renewable energy and the innovative process by providing: a descriptive analysis; a co-occurrence analysis of terms, thematic mapping and conceptual structure; and the typology of the textual corpus.

To analyze the relationship between “renewable energies, socioeconomic development and the innovative process,” it is necessary to build a theoretical foundation that contains the relevant scientific studies and reflects the current state of the art on the subject. For this, this study developed a systematic literature review (SLR) using the preferred reporting items for systematic reviews and meta-analyses research protocol to answer the relationship on the theme.

Research shows a global understanding of the need to invest in developing studies to reduce carbon dioxide emissions and improve economic growth. The main contributions lie in providing a typology of the state of the art, identifying the joint relationships between themes, insights into the key themes and indicating themes that must be developed. This study may also support future empirical studies as it provides a theoretical foundation for formulating hypotheses, which can be tested through qualitative and quantitative approaches.

The innovative character consists of addressing a shortage of SLRs on this theme. Thus, this paper fills this gap by providing a theoretical foundation for future scientific and academic knowledge generation. Furthermore, regarding the interdisciplinary aspects of this research as contributions, this paper presented different approaches and theoretical perspectives.

The purpose of this paper is to assess the feasibility of analytical models, specifically the radial basis function method, Akbari–Ganji method and Gaussian method, in conjunction with the finite element method. The aim is to examine the impact of processing parameters on temperature history.

Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari–Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation.

The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800 W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history.

The application of analytical modeling, particularly the utilization of the Akbari–Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.

Currently, there are some finite element head models developed by research groups all around the world. Nevertheless, the majority are not geometrically accurate. One of the problems is the brain geometry, which usually resembles a sphere. This may raise problems when reconstructing any event that involves brain kinematics, such as accidents, affecting the correct evaluation of resulting injuries. Thus, the purpose of this study is to develop a new finite element head model more accurate than the existing ones.

In this work, a new and geometrically detailed finite element brain model is proposed. Special attention was given to sulci and gyri modelling, making this model more geometrically accurate than currently available ones. In addition, these brain features are important to predict specific injuries such as brain contusions, which usually involve the crowns of gyri.

The model was validated against experimental data from impact tests on cadavers, comparing the intracranial pressure at frontal, parietal, occipital and posterior fossa regions.

As this model is validated, it can be now used in accident reconstruction and injury evaluation and even as a design tool for protective head gear.

Purpose – The purpose of this chapter is to assess the role of the wealth-to-income ratio in forecasting housing risk premium.

Methodology/approach – To investigate this issue, the chapter uses the residuals of the trend relationship among asset wealth and labor income to predict future real housing returns. It shows that deviations of asset wealth from its cointegrating relationship with labor income, wy, track time-variation in expected housing returns.

Findings – Using data for a set of industrialized countries, this chapter finds that if agents are hit by a shock that generates a fall in the wealth-to-income ratio, they will demand (i) a higher housing risk premium when housing assets are complements of financial assets and (ii) a lower housing risk premium when housing assets are substitutes of financial assets.

Originality/value of chapter – The findings of this chapter are novel in the field of alternative finance and, in particular, durable (housing) finance. Indeed, they build on a representative agent's theoretical model to infer about the degree of substitution or complementarity between financial and housing assets, which, in turn, can be useful at developing investment strategies for hedging against the risk of unfavorable housing fluctuations. Additionally, they open a new research avenue for understanding the determinants of housing risk premium by linking the dynamics of asset wealth and labor income with the behavior of future housing returns.

Purpose – The purpose of this chapter is to assess the role of collateralizable wealth and systemic risk in explaining future asset returns.

Methodology/approach – To test this hypothesis, the chapter uses the residuals of the trend relationship among housing wealth and labor income to predict both stock returns and government bond yields. Specifically, it shows that nonlinear deviations of housing wealth from its cointegrating relationship with labor income, hwy, forecast expected future returns.

Findings – Using data for a set of industrialized countries, the chapter finds that when the housing wealth-to-income ratio falls, investors demand a higher risk premium for stocks. As for government bond returns: (i) when they are seen as a component of asset wealth, investors react in the same manner and (ii) if, however, investors perceive the increase in government bond returns as signaling a future rise in taxes or a deterioration of public finances, then they interpret the fall in the housing wealth-to-income ratio as a fall in future bond premia. Finally, this work shows that the occurrence of crisis episodes amplifies the transmission of housing market shocks to financial markets.

Originality/value of chapter – These findings are novel. They also open new and challenging avenues for understanding the dynamics of the relationship between the housing sector, stock market and government bond developments, and the banking system.

The conflict in Angola saw some of its most intense periods after the end of the Cold War, missing a favorable period of conflict resolution in this transition. This chapter analyzes the reasons that were behind the failure to reach a successful peace process at this specific time when Namibia worked out a peaceful solution but Angola failed with the Gbadolite initiative. The analysis uses a “ripeness” model focusing on agency and processes over the 1989 Gbadolite Accords and its immediate context of the 1988 New York Accords and the aftermath of the 1991 Bicesse Accords. It is proposed that there was a lack of “ripeness” in Angola. On one hand, a resolution of the Angola conflict was not essential to finding a regional solution for Southern Africa, and on the other hand, both parties, the Popular Movement for the Liberation of Angola (MPLA) and National Union for the Total Independence of Angola (UNITA), lacked the conditions to effectively engage in a political solution. Namely, the parties were monolithic, the military process had not reached a point of hurting stalemate, and the incentive structures in terms of oil and diamond wealth in the country hindered both party predispositions. It concludes that finding a point of “ripeness” might take time; it is an agency envisioned process and as such can be possible within virtual new solutions that accommodate old power concerns.

During the global financial crisis of 2008–2009, most developed and emerging economies and financial markets have recorded important financial losses. Those economies have experienced momentous corrections, and their assets were significantly devaluated, implying many losses and bankruptcies for banks, investors, and firms. Overall, despite continuing efforts made by governments and central banks to support their financial systems, most financial markets (stock markets, derivative markets, monetary markets, and currency markets) have been strongly affected by this crisis. Furthermore, the rapid transmission of the US subprime crisis to several European and Asian developed and emerging countries and the transformation into a global financial and economic crisis have revealed a high level of financial integration and linkage with the US market. The financial shocks have also induced negative feedbacks to macroeconomic indicators, suggesting significant relationships between financial markets and macroeconomies.