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This chapter aims to analyze sustainability from the perspective of the employees' well-being. In this regard, the concepts of social sustainability and sustainable development objectives are reviewed in the frame of Sustainable Development Goals (SDGs), specifically those related to well-being, gender equality, and decent work. Furthermore, the relationship between employees' well-being and performance is discussed. In addition, the psychology of sustainability and its contribution to sustainable well-being at work are analyzed. This study highlights the relevance of social factors such as psychological well-being, equity, opportunities for participation, inclusion, and diversity for achieving the creation of value through social sustainability. All these social factors acquire even more relevance in times of crisis as the current COVID-19 pandemic. Finally, some conclusions and further directions are presented.

In this chapter, the authors ask two questions: (i) Is the conduct of monetary policy stable across time and similar across major economies? and (ii) Do policy decisions of major central banks have international spillover effects? To address these questions, the authors build on recent semi-parametric advances in time-varying parameter models that allow us to increase the vector autoregressive () dimension and to jointly model three advanced economies (USA, UK and the Euro Area). The main reduced-form finding of this chapter is an increased connectedness between and within countries during the recent financial crisis. In order to study policy spillovers, we jointly identify three economy-specific monetary policy shocks using a combination of sign and magnitude restrictions. The authors find that monetary policy shocks were larger in magnitude and more persistent in the early 1980s than in subsequent periods. The authors also uncover positive spillover effects of policy between countries in the 1980s and diminished, and sometimes negative ‘beggar-thy-neighbour’ effects in the second half of the sample. Moreover, during the 1980s, the authors find evidence for policy coordination between the Federal Reserve, the Bank of England and the European Central Bank.

This chapter analyzes the development of the relationship between the social sciences and sport in Argentina – from its first steps, to the present, and to possible future issues. The description of Arbena (1999) from the last part of twentieth century about the situation of the social sciences and sport in Latin America in general and Argentina in particular could not be more precise:

Latin America has produced little scholarly analysis of sport and society, though information and insights are found in other types of writings, journalistic accounts such as club histories and popular biographies. What has been focused on soccer normally treats only the author’s own country, and is rarely available in English. Nowhere does a single author or academic group dominate. (Arbena, 2000, p. 548)

Latin America has produced little scholarly analysis of sport and society, though information and insights are found in other types of writings, journalistic accounts such as club histories and popular biographies. What has been focused on soccer normally treats only the author’s own country, and is rarely available in English. Nowhere does a single author or academic group dominate. (Arbena, 2000, p. 548)

We also make reference to how the anthropologist Eduardo Archetti breaks that mold described by Arbena and how he becomes the undisputed referent in the study of the social sciences and sport in Argentina, and how his immense contribution is recognized in the region. We analyze the present status of this topic, its major changes, the development that the area has undergone so far, and the issues that are being studied today. Moreover, we mention the importance of sociology of sport in the academic field and its formalization. Finally, this chapter also considers possible future trends in the sociology of sport in Argentina.

Destination management is in urgent need of analytical and policy tools, and even more so in the context of tourism for development programs. Understanding both structural elements and dynamic processes are essential. This chapter describes a model of destinations which considers three types of structural components: factors/resources, attractors (of tourism demand), and support systems. It analyzes as well the optimizing behavior of destination stakeholders, both endogenous and exogenous, as a way to understand destination dynamics. The model can be applied in the strategic positioning of destinations as well as in achieving competitiveness and sustainability—ultimately contributing to development—through tourism policy plans and governance processes. The model was born in the context of a European Eureka–ComTur research project, and has been tested in a variety of destinations.

A vector autoregression model estimated on US data before and after 1980 documents systematic differences in the response of short- and long-term interest rates, corporate bond spreads and durable spending to news total factor productivity shocks. Interest rates across the maturity spectrum broadly increase in the pre-1980s and broadly decline in the post-1980s. Corporate bond spreads decline significantly, and durable spending rises significantly in the post-1980 period while the opposite short-run response is observed in the pre-1980 period. Measuring expectations of future monetary policy rates conditional on a news shock suggests that the Federal Reserve has adopted a restrictive stance before the 1980s with the goal of retaining control over inflation while adopting a neutral/accommodative stance in the post-1980 period.