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Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.

Education to an international standard that can provide successful careers has arguably been the main drive of many parents to allocate scarce financial resources to the education of their progenies. Competition for high-calibre degrees has seen an explosion of opportunity in the private education sector. As many Global South countries do not have the equivalent control of standards provided in the United Kingdom (UK) by the Quality Assurance Agency, this can lead to dissatisfaction with the qualifications received in the Global South. This chapter aims to explore the factors influencing participation in higher education in the Global North versus the Global South, particularly where these relate to or vary by locality, and the relative influence these have on the propensity of the learners living in these areas to progress into higher education in local universities. The conceptual framework and methodology provided in this chapter show the differences between transnational education (TNE) as primarily a standalone or independent activity supported by a UK higher education institution (HEI)/provider versus being a collaborative effort between a UK host university and a South/Southeast Asian HEI university partner. The methodology provides a strategy for UK host institutions to best provide carefully aligned independent or collaborative partnerships with the partner country regulatory bodies. The chapter concludes with the author’s personal reflections and recommendations based on decades of collaborative and independent university provision of TNE. These reflections are focused on design-based courses in selected South/Southeast Asian HEI partnerships with the College of Architecture and Design at Birmingham City University.

Multinational enterprises (MNEs) in the agri-food sector are continuously transforming their global value chains (GVCs) to address sustainable development challenges of food security (SDG2) and climate change (SDG13). However, the central role of non-governmental organisations (NGOs) in (re)creating GVCs across multilevel stakeholders through innovative approaches to solve sustainability challenges remains under investigated. This explorative study investigates how international NGOs influence the transformation of large-scale industrial animal agriculture to a more sustainable (cell-based) agri-food GVC. The authors conducted a case study on the Good Food Institute (GFI), an international NGO, that has been an active player in the transition to alternative sources of protein to solve animal-based agriculture sustainability issues. The results show that an international NGO can contribute to the transition to a more sustainable GVC and can enhance the GVC’s innovation capabilities.

In this chapter, we consider the possibility that a firm may use costly resources to improve its technical efficiency. Results from static analyses imply that technical efficiency is determined by the configuration of factor prices. A dynamic model of the firm is developed under the assumption that managerial skill contributes to technical efficiency. Dynamic analysis shows that the firm can never be technically efficient if it maximizes profits, the steady state is always inefficient, and it is locally stable. In terms of empirical analysis, we show how likelihood-based methods can be used to uncover, in a semi-non-parametric manner, important features of the inefficiency-management relationship using a flexible functional form accounting for the endogeneity of inputs in a production function. Managerial compensation can also be identified and estimated using the new techniques. The new empirical methodology is applied in a data set previously analyzed by Bloom and van Reenen (2007) on managerial practices of manufacturing firms in the UK, US, France and Germany.