This article provides a review of recent research on agricultural insurance (AI) in developing countries. Agricultural producers face a variety of significant risks; historically, only government-subsidized products have achieved widespread adoption. A recent contractual innovation, which links insurance payouts to realized weather rather than farmer indemnity, has spurred substantial research in the past decade. This review begins by describing the experience in developed economies and then turns to developing countries, covering the following topics: farmers’ adoption of AI, how AI affects their decision to invest in risky assets, and the extent to which AI helps farmers smooth income and consumption. We conclude with suggestions for future research and practice related to AI in developing countries.
Africa is urbanizing rapidly, and this creates both opportunities and challenges. Labour productivity appears to be much higher in developing-world cities than in rural areas, and historically urbanization is strongly correlated with economic growth. Education seems to be a strong complement to urbanization, and entrepreneurial human capital correlates strongly with urban success. Immigrants provide a natural source of entrepreneurship, both in the US and in Africa, which suggests that making African cities more livable can generate economic benefits by attracting talent. Reducing the negative externalities of urban life requires a combination of infrastructure, incentives, and institutions. Appropriate institutions can mean independent public authorities, public–private partnerships, and non-profit entities, depending on the setting.