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Based on ethnographic fieldwork carried out among market sellers in Equatorial Guinea’s capital Malabo at the height of its oil-boom in 2010–2012, this paper explores how prices were negotiated and set. It describes how the marketplace constitutes an important institution in Guinean society, not only as a site for provisioning, but also as a space for fostering relationships, engaging in politics and seeking social justice. The case of Equatorial Guinea helps us to re-think the notion of the just price as it is established through contingent and negotiated relations between traders, their customers and powerful political actors, rather than being the outcome of supply and demand or the result of struggles over the production and reproduction of labour. The emphasis on the political dimension of the just price speaks to key debates in the moral economy literature.

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the relationship between the probability of treatment and the observed mismeasured assignment variable may disappear. Therefore, the presence of measurement error in the assignment variable poses a challenge to treatment effect identification. This chapter provides sufficient conditions to identify the RD treatment effect using the mismeasured assignment variable, the treatment status and the outcome variable. We prove identification separately for discrete and continuous assignment variables and study the properties of various estimation procedures. We illustrate the proposed methods in an empirical application, where we estimate Medicaid takeup and its crowdout effect on private health insurance coverage.

Collaboration is essential to realizing the potential of the new digital environment for learning, teaching, and research. Yet successful collaboration often entails organizational changes, political realignments, and rethinking our most basic assumptions and habits. This chapter focuses on CLIR’s current work in fostering collaboration across institutions, disciplines, and professions. It considers these activities in the context of a broader group of emergent collaborative activities that, in aggregate, could support a new and vital digital environment for research, teaching, and the public good. It then discusses a new CLIR activity designed to address the prerequisites for collaboration, and for coherence at scale.

The adverse effect of plastic pollution on the tourism industry is one of the emerging research areas in the field of sustainable tourism over the past years. However, there is a lack of discussion on this issue in the academic platforms. Considering this, in this chapter, a scientometric analysis of 110 academic publications from the Web of Science (WoS) between 1999 and 2021 related to plastic pollution and tourism is presented. A bibliometric analysis using CiteSpace was utilised to analyse the data to present the keyword timezone, collaboration network and co-citation network. The analysis shows that the publications in this field have increased rapidly, and it has become an emerging and interdisciplinary research topic. Scholars from Australia, Spain, Brazil and China have published most on the topic. The Chinese Academy of Science with four articles is the largest contributor in this field among other institutions. Moreover, citizen science is found to be a new keyword coming up in recent years, and human health is one of the major concerns. The findings from this study provide valuable insights for the academicians and policy makers in understanding the issue.