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Southeast Asia from the Corner of 18th and K Streets: Strategies in Food Security: Thinking Seriously about Fish
With an estimated one billion people going hungry every day, food security is one of the most pressing issues the world will face this century. As an integral part of the United States’ rebalance toward Asia, food security policy needs to shift away from its historic focus on rice agriculture to address the potential disaster faced by the region’s fisheries. Fully 84 percent of global fisheries are seriously overexploited—many are near collapse—and Southeast Asia is one of the regions where this trend is most apparent.
Fisheries are integral to the way of life of many Southeast Asians. Perhaps the best example of this is Indonesia, an archipelago of 17,000 islands that is home to 240 million people and houses the “Amazon” of fisheries and coral reefs within its Exclusive Economic Zone (EEZ). Fish accounts for only 5.2 percent of Indonesia’s GDP, but it provided 72 percent of its animal protein consumption in 2011. It is also the primary source of livelihood for coa
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Why is professional independence such a contentious issue?
The theme of professional independence in the production of official statistics is a subject that will never go away from the preoccupations of the international statistical community. It would seem that at any time somewhere in the world someone (usually a government) is trying to interfere against it. Last year, the attempt by the Trump administration to add a citizenship question to the 2020 US Population Census made the news in the US and worldwide, a decision more related to political considerations than to technical ones. In recent times, Argentina and Greece have also grabbed headlines around the world for altering figures in order to present a more favorable image of their economies, and a recent post on this blog raised awareness of a similar situation in Montenegro.
Examples like these, in which a government attempts to interfere in the work of National Statistical Offices to undermine data integrity by affecting any of the characteristics underlying integrity (truthfulness, quality, timeliness, accessibility a
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