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161223 ||| eng |
020 |
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|a 9781513596013
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100 |
1 |
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|a Adedeji, Olumuyiwa
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245 |
0 |
0 |
|a Natural Disasters and Food Crises in Low-Income Countries
|b Macroeconomic Dimensions
|c Olumuyiwa Adedeji, Jana Bricco, Vera Kehayova
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260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2016
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300 |
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|a 25 pages
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653 |
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|a Food industry and trade
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653 |
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|a Probit models
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653 |
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|a Financial crises
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653 |
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|a Food production
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653 |
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|a Food
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653 |
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|a Natural Disasters
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653 |
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|a Deflation
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653 |
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|a Climate
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653 |
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|a Proportions
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653 |
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|a Agriculture, agribusiness & food production industries
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653 |
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|a Cycles
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653 |
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|a Macroeconomic Analyses of Economic Development
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653 |
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|a Global Warming
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653 |
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|a Cosmetics
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653 |
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|a Macroeconomics
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653 |
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|a Econometrics
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653 |
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|a Industries: Food
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653 |
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|a Export prices
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653 |
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|a Econometrics & economic statistics
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653 |
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|a Financial Risk Management
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653 |
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|a Single Equation Models
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653 |
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|a Economic & financial crises & disasters
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653 |
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|a Inflation
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653 |
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|a Wine and Spirits
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653 |
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|a Natural Disasters and Their Management
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653 |
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|a Single Variables: Discrete Regression and Qualitative Choice Models
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653 |
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|a Tobacco
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653 |
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|a Discrete Regression and Qualitative Choice Models
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653 |
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|a Price Level
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653 |
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|a Econometric models
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653 |
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|a Exports
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653 |
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|a Beverages
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653 |
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|a Business Fluctuations
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653 |
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|a Natural disasters
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653 |
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|a Financial Crises
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653 |
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|a Discrete Regressors
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700 |
1 |
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|a Bricco, Jana
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700 |
1 |
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|a Kehayova, Vera
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b IMF
|a International Monetary Fund
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490 |
0 |
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|a IMF Working Papers
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028 |
5 |
0 |
|a 10.5089/9781513596013.001
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856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2016/065/001.2016.issue-065-en.xml?cid=43794-com-dsp-marc
|x Verlag
|3 Volltext
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082 |
0 |
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|a 330
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520 |
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|a The exposure of low-income countries to natural disasters has a significant impact on food production and food security. This paper provides a framework for assessing a country’s vulnerability to food crisis in the event of natural disasters. The paper finds that macroeconomic and structural indicators that are crucial for ensuring the resilience of low-income countries to adverse external shocks are equally important for minimizing the occurrence of food crisis in the event of natural disasters
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