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Using visual materials to understand a social object requires the researcher to know that object's purpose, and this is true whether the object is an artifact, a restricted event, a small social world, or something as massive as the modern city. I argue that the purpose of the city as a settlement is driven by the need to safely sleep in peace at night while satisfying other basic biophysical needs during the day as conveniently as possible. An examination of these needs identifies 10 functional prerequisites for human settlement, entangling its inhabitants in involuntary community with entities and events other than themselves, whether they like it or not. In addition, the rise of the modern city exacerbates the challenge of living in a reluctant community and pressures its inhabitants to come to terms with the consequences for how these relationships affect daily life. I highlight nine challenges posed as questions that have been particularly salient in American urban history since the mid-nineteenth century. How these challenges have been addressed indicates not only what it takes to make a modern city a settlement suitable for satisfying human needs, but also just how deeply invested its residents are in making the city work. Finally, the 10 functional prerequisites and nine moral challenges not only provide a framework for researching the city, but also suggest a coherent outline for imagining a “shooting script” or guide for conducting visual research.

Impactful pedagogies in Higher Education are required to meet the challenges of the twenty-first century. This chapter outlines an inclusive, flexible, and work-based learning curriculum design framework to respond to these needs. Two cases from Glasgow Caledonian University (GCU) are used to illustrate this framework in a transnational educational context in Sub-Saharan Africa. Case one explores the impact of a Railway Operations Management program in South Africa, where the views of two cohorts of 137 recent graduates were gathered through an online questionnaire. Case two examines the views of Optometry/Orthoptics students who undertook an intensive two-week clinical work experience on the train-based clinic (Phelophepa train) in South Africa; data was gathered through an online questionnaire from 58 participating students since 2014. Both examples highlight transformative personal experiences and impacts of their education beyond just their studies – to a clearer sense of personal and professional pride, to becoming role models for their families and to developing meta-cognitive skills to support lifelong learning. In the Railway Operations Management example, additional benefits were seen to their organization – through improved interpersonal skills, decision-making, and problem-solving and creating knowledge-sharing – whereas in the Optometry/Orthoptics case life-changing impacts to patients were delivered through this work experience.

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.