1994
DOI: 10.1111/j.1759-5436.1994.mp25002007.x
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Food Security: Let them Eat Information

Abstract: Summary Improved capacity to predict drought‐induced famines has not led to a concomitant improvement in famine prevention. In a comparative study of five African countries, this article argues that the failure to translate more information into timely and appropriate response is explained by a myriad of institutional and ‐ crucially ‐ political obstacles. It is often negotiation over conflicting interests between donors and governments of recipient countries which determines the timing and level of famine res… Show more

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Cited by 21 publications
(6 citation statements)
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“…Furthermore, ALRMP belongs to a government task force, along with USAID, FEWSNET, WFP, FAO and other key providers of emergency relief that meet regularly to discuss needs and response. The joint-decision making of government and international agencies, the decentralized nature of operations, and the expressed demand for improved early warning systems have all been high- lighted as determinants that improve the potential impact of advanced information systems (Buchanan-Smith et al, 1994). An assessment of early warning systems in Sub-Saharan Africa indicates that in Kenya, the commitment of both government and development partners to coordinated assessment and targeting during times of food insecurity is clear and has resulted in greater consistency and more timely action in determining and implementing innovations (Tefft et al, 2006).…”
Section: Discussion and Policy Implicationsmentioning
confidence: 99%
“…Furthermore, ALRMP belongs to a government task force, along with USAID, FEWSNET, WFP, FAO and other key providers of emergency relief that meet regularly to discuss needs and response. The joint-decision making of government and international agencies, the decentralized nature of operations, and the expressed demand for improved early warning systems have all been high- lighted as determinants that improve the potential impact of advanced information systems (Buchanan-Smith et al, 1994). An assessment of early warning systems in Sub-Saharan Africa indicates that in Kenya, the commitment of both government and development partners to coordinated assessment and targeting during times of food insecurity is clear and has resulted in greater consistency and more timely action in determining and implementing innovations (Tefft et al, 2006).…”
Section: Discussion and Policy Implicationsmentioning
confidence: 99%
“…Generic information about what individuals and at-risk communities should do is useless if those communities cannot put such actions into practice. Buchanan-Smith et al (1994) in their provocatively titled article, "let them eat information" provide an excellent discussion of the great gulf that exists between information and people's ability to put that information to beneficial use. Therefore, adaptation planning and policies need to be smart in identifying the kinds of interventions that are needed or likely to be most effective in specific context.…”
Section: Most Adaptation In Developing Countries Is Likely To Be Automentioning
confidence: 99%
“…Moreover, the absence of social security nets, such as savings and risk insurance, in many African rural communities, limit farmers' readiness to try new practices in responses to climate-related risks (Lallau 2008). Buchanan-Smith et al (1994) emphasized that the prevention of famine in SSA has not improved since the disasters of the 1980s, despite better predictive capacity in the Sahel and the Horn of Africa. Regardless of accuracy, information cannot be eaten by famine-inflicted communities.…”
Section: Strengths and Weaknesses In The Practice Of Drrmentioning
confidence: 99%
“…Even precise and accurate forecasts by themselves are not sufficient to reduce hazardous impacts on society (Buchanan-Smith et al 1994;Bailey 2013). This research demonstrates a lack of concrete use of the climate information, when released in its aggregated form after each COF.…”
Section: Strengths Weaknesses and Opportunities For Disaster Risk Rmentioning
confidence: 99%