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Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger

We use IFPRI’s IMPACT framework of linked biophysical and structural economic models to examine developments in global agricultural production systems, climate change, and food security. Building on related work on how increased investment in agricultural research, resource management, and infrastru...

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Autores principales: Mason-D'Croz, Daniel, Sulser, Timothy B., Wiebe, Keith, Rosegrant, Mark W., Lowder, Sarah K., Nin-Pratt, Alejandro, Willenbockel, Dirk, Robinson, Sherman, Zhu, Tingju, Cenacchi, Nicola, Dunston, Shahnila, Robertson, Richard D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358118/
https://www.ncbi.nlm.nih.gov/pubmed/30944503
http://dx.doi.org/10.1016/j.worlddev.2018.12.006
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author Mason-D'Croz, Daniel
Sulser, Timothy B.
Wiebe, Keith
Rosegrant, Mark W.
Lowder, Sarah K.
Nin-Pratt, Alejandro
Willenbockel, Dirk
Robinson, Sherman
Zhu, Tingju
Cenacchi, Nicola
Dunston, Shahnila
Robertson, Richard D.
author_facet Mason-D'Croz, Daniel
Sulser, Timothy B.
Wiebe, Keith
Rosegrant, Mark W.
Lowder, Sarah K.
Nin-Pratt, Alejandro
Willenbockel, Dirk
Robinson, Sherman
Zhu, Tingju
Cenacchi, Nicola
Dunston, Shahnila
Robertson, Richard D.
author_sort Mason-D'Croz, Daniel
collection PubMed
description We use IFPRI’s IMPACT framework of linked biophysical and structural economic models to examine developments in global agricultural production systems, climate change, and food security. Building on related work on how increased investment in agricultural research, resource management, and infrastructure can address the challenges of meeting future food demand, we explore the costs and implications of these investments for reducing hunger in Africa by 2030. This analysis is coupled with a new investment estimation model, based on the perpetual inventory methodology (PIM), which allows for a better assessment of the costs of achieving projected agricultural improvements. We find that climate change will continue to slow projected reductions in hunger in the coming decades—increasing the number of people at risk of hunger in 2030 by 16 million in Africa compared to a scenario without climate change. Investments to increase agricultural productivity can offset the adverse impacts of climate change and help reduce the share of people at risk of hunger in 2030 to five percent or less in Northern, Western, and Southern Africa, but the share is projected to remain at ten percent or more in Eastern and Central Africa. Investments in Africa to achieve these results are estimated to cost about 15 billion USD per year between 2015 and 2030, as part of a larger package of investments costing around 52 billion USD in developing countries.
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spelling pubmed-63581182019-04-01 Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger Mason-D'Croz, Daniel Sulser, Timothy B. Wiebe, Keith Rosegrant, Mark W. Lowder, Sarah K. Nin-Pratt, Alejandro Willenbockel, Dirk Robinson, Sherman Zhu, Tingju Cenacchi, Nicola Dunston, Shahnila Robertson, Richard D. World Dev Article We use IFPRI’s IMPACT framework of linked biophysical and structural economic models to examine developments in global agricultural production systems, climate change, and food security. Building on related work on how increased investment in agricultural research, resource management, and infrastructure can address the challenges of meeting future food demand, we explore the costs and implications of these investments for reducing hunger in Africa by 2030. This analysis is coupled with a new investment estimation model, based on the perpetual inventory methodology (PIM), which allows for a better assessment of the costs of achieving projected agricultural improvements. We find that climate change will continue to slow projected reductions in hunger in the coming decades—increasing the number of people at risk of hunger in 2030 by 16 million in Africa compared to a scenario without climate change. Investments to increase agricultural productivity can offset the adverse impacts of climate change and help reduce the share of people at risk of hunger in 2030 to five percent or less in Northern, Western, and Southern Africa, but the share is projected to remain at ten percent or more in Eastern and Central Africa. Investments in Africa to achieve these results are estimated to cost about 15 billion USD per year between 2015 and 2030, as part of a larger package of investments costing around 52 billion USD in developing countries. Pergamon Press 2019-04 /pmc/articles/PMC6358118/ /pubmed/30944503 http://dx.doi.org/10.1016/j.worlddev.2018.12.006 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mason-D'Croz, Daniel
Sulser, Timothy B.
Wiebe, Keith
Rosegrant, Mark W.
Lowder, Sarah K.
Nin-Pratt, Alejandro
Willenbockel, Dirk
Robinson, Sherman
Zhu, Tingju
Cenacchi, Nicola
Dunston, Shahnila
Robertson, Richard D.
Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger
title Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger
title_full Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger
title_fullStr Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger
title_full_unstemmed Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger
title_short Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger
title_sort agricultural investments and hunger in africa modeling potential contributions to sdg2 – zero hunger
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358118/
https://www.ncbi.nlm.nih.gov/pubmed/30944503
http://dx.doi.org/10.1016/j.worlddev.2018.12.006
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