Latin America & Caribbean
A generation ago, the World Development Report 1984 focused on development challenges posed by demographic change, reflecting the world’s concerns about run-away population growth. Global population growth rates had peaked at more than two percent a year in the late 1960s and the incredibly high average fertility rates of that decade – almost six births per woman – provided the momentum to keep population growth rates elevated for several decades (Fig 1). Indeed, the population and development zeitgeist spawned works such as Ehrlich’s 1968 book “Population Bomb,” which painted apocalyptic images of a world struggling to sustain itself under the sheer weight of its people. The policy discussion of the WDR 1984 reflected these concerns, focusing on how to feed the growing populations in the poorest and highest fertility countries, while also presenting a case for policies that would reduce fertility.
The Creative Wealth of Nations is a series of blogs related to Patrick Kabanda's forthcoming book on the performing arts in development.
It was a scene I still can’t forget.
A few years ago on a busy Kampala intersection, cars zoomed by while pedestrians braced themselves to cross a road. They lurched back and forth, like a fence being blown hither and tither by heavy winds. In frustration, a voice of a woman with a baby tucked on her back cried out: senga no wabawo atusasira. “I wish someone would be kind to us.”
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John Grunsfeld, former NASA Chief Scientist and veteran of five Space Shuttle flights, had several chances to look down at Earth, and noticed how poverty can be recognized from far away. Unlike richer countries, typically lined in green, poorer countries with less access to water are a shocking brown color. During the night, wealthier countries light up the sky whereas nations with less widespread electricity look dim.
Dr. Grunsfeld’s observation might have important implications. Pictures from satellites could become a tool to help identifying where poverty is, by zooming in to the tiniest villages and allowing a constant monitoring that cannot be achieved with traditional surveys.