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Breisinger, Clemens; Kassim, Yumna; Kurdi, Sikandra; Randriamamonjy, Josee; Thurlow, James. Article in press
Ecker, Olivier; Al-Malk, Afnan; Maystadt, Jean-François. Article in press
Daum, Thomas; Adegbola, Ygué Patrice; Kamau, Geoffrey; Kergna, Alpha Oumar; Daudu, Christogonus; Adebowale, Wahab Akeem; Adegbola, Carine; Bett, Charles; Mulinge, Wellington; Zossou, Roch Cedrique; Nientao, Abdoulaye; Kirui, Oliver; Oluwole, Fatunbi Abiodun . Article in press
Zhang, Xiaobo. 2023
Abay, Kibrom A.; Breisinger, Clemens; Glauber, Joseph W.; Kurdi, Sikandra; Laborde Debucquet, David; Siddig, Khalid. 2023
Reardon, Thomas; Vos, Rob. 2023
Elshennawy, Abeer; Siddig, Khalid. 2023
Tabe-Ojong, Martin Paul Jr.; Nshakira-Rukundo, Emmanuel; Gebrekidan, Bisrat Haile. 2023
Ringler, Claudia; Abdulrahim, Sawsan; Adra, May; Alvi, Muzna Fatima; Choudhury, Zahid ul Arefin; ElDidi, Hagar; Kilby, Patrick; Nassif, Gabriella; Ratna, Nazmun; Sufian, Farha; van Biljon, Chloe; Wu, Joyce. 2023
In this context, the International Labour Organization (ILO) describes three dimensions to forced labour: (i) unfree recruitment; (ii) work and life under duress; and (iii) impossibility to leave employer. Forced labour exists if any one of these dimensions exists. Exploitation relates to one or all of the following three elements: (i) restricting freedom of movement; (ii) economic exploitation; and (iii) violence or the threat of violence. Trafficking relates to migrants’ interactions with a network of individuals who organize the migration process, including brokers in origin countries and employment agencies, as well as employers in destination countries, with elements of deception, coercion, debt bondage, and slavery-like conditions. Trafficking also includes involuntary child labour.
To address women and girl’s vulnerability to forced labour, exploitation, and trafficking, the WiF-2 program implemented pre-migration outreach interventions in countries of origin (Bangladesh, India, and Nepal). At the micro-level, this included training of a group of social workers who would engage women, girls, and other community members in countries of origin through door-to-door visits, community/courtyard meetings, and orientation events, and by providing referrals for vocational training.
Abay, Kibrom A.; Yonzan, Nishant; Kurdi, Sikandra; Tafere, Kibrom. 2023
Kosec, Katrina; Laderach, Peter; and Ruckstuhl, Sandra. 2023
von Braun, Joachim; Ulimwengu, John; Babu, Suresh Chandra; Srivastava, Nandita; Swinnen, Johan; Blumenthal, Nick; Nwafor, Apollos; Nhlengethwa, Sibusiso; Kapuya, Tinashe; Mutyasira, Vine; Hadda, Lawrence; Keizire, Boaz B.; Myaki, Ibrahim A.; Muhinda, Jean Jaques; Nijiwa, Daniel; Djido, Aboulaye; Gokah, Isaac; Ngabitsinze, Jean Chrysostome; Wamkele Mene, H. E.; Kalibata, Agnes; Bissi, Komla; Kajangwe, Antoine; Leke, Acha; Ooko-Ombaka, Amandla; Mannya, Karabo; Kassiri, Omid; Abe-Inge, Vincent; Kwofie, Ebenezer Miezah; Fan, Shenggen; Fu, Hanyi; Muthini, Davis; Sene, Amath Pathe; Siewertsen, Hedwig. Nairobi, Kenya 2023
The 2023 report, “Empowering Africa Food Systems for the Future,” highlights the ways in which Africa is uniquely positioned to redefine its future and pave a sustainable and resilient path for generations to come.
In delving into the assessment of food systems failures, the report confronts some harsh truths. Despite being home to nearly 60 percent of the world’s uncultivated arable land, Africa remains a net food importer spending billions annually to meet its food demands. A large fraction of its population still grapples with chronic hunger and malnutrition. Yet, it does not stop at just assessing failures; it moves forward to take stock of the robust and diverse food systems that form the lifeblood of the continent.
Ulimwengu, John; Domgho, Léa Magne; Collins, Julia; Badiane, Ousmane. Kigali, Rwanda 2023
Oumer, Ali M.; Dhehibi, Boubaker; Akramov, Kamiljon; Al-Zu’bi, Maha; Baum, Michael. Beirut, Lebanon 2023
Innovation platforms (IPs) can provide a multidisciplinary research environment to test outcome-oriented research/scientific ideas, technologies, and innovations. These are particularly effective when agrifood challenges require cross-sectoral solutions and joint efforts of stakeholders who have a stake in both the problem and solution. IPs allow stakeholders to experiment together and share knowledge, resources, benefits, and risks for issues they cannot solve on their own, and benefit from the synergistic effects of working together.
IP functions include innovations relating to technology, capacity development, organization, policy, institutional governance, and the integration of these dimensions. Contemporary tools of monitoring, evaluation, and learning (MEL) can be used to assess the IPs’ contribution to these dimensions and generate lessons for future scaling.
Three aspects of the IPs can be monitored and evaluated. These are activities, process changes, and results generated by the IP for beneficiary groups. The member stakeholders or a designated sub-team should define the indicators and rubric thresholds to measure these changes.
The International Centre for Agricultural Research in the Dry Areas (ICARDA) can upgrade its research stations into National Innovation Platforms (NIPs) by engaging diverse partners and stakeholders to jointly identify their challenges and test their innovations to address those challenges. For example, improved varieties of cereals and forages could be entry points to set up NIPs in these research stations.
ICARDA’s country offices may be able to characterize the research stations and take the initiative to set up a NIP. The characterization and assessment of the research stations can proceed with the involvement of key stakeholders, including policymakers and the private sector.
Adolph, Barbara; Griffiths, Geoffrey; Hou-Jones, Xiaoting
. Washington, DC; Palmira, Colombia; Washington, DC; Abidjan, Côte d’Ivoire 2023
Traoré, Fousseini; Diop, Insa. Washington, DC 2022
El-Kersh, Mohamed; Atef, Mohamed; Ali, Alaa; Farghaly, Lobna; Abderabuh, Zainab; Abdelradi, Fadi; Abdou, Khaled; Abdelaziz, Ehab; Faris, Victor; Nasr, Saleh; Nassar, Yasmin; Nassar, Zaki; Raouf, Mariam; Wiebelt, Manfred. Washington, DC 2022
Elsabbagh, Dalia; Kurdi, Sikandra; Wiebelt, Manfred. Washington, DC 2022
International Food Policy Research Institute (IFPRI). Washington, DC 2022
With respect to physical risks and impacts, IFPRI maintains a framework labelled SACRED (Systematic Analysis for Climate Resilient Development). This framework has been applied throughout Africa as well as in Asia. A schematic of the framework is shown below.
Key features of the SACRED framework are:
· Focus on a country or region rather than the globe.
· Structural approach. The component models of the SACRED framework are typically bottom-up and drawn from first principles.
· Completeness. All relevant climate change impact channels are treated in a coherent framework.
· Flexibility. It is important that the elements of the SACRED modelling interact appropriately with one another; however, the exact modelling frameworks are flexible.
· Risk and uncertainty. The SACRED framework is on the cutting edge when it comes to incorporating the likely frequency, severity, and economic implications of extreme events.
Relative to many integrated assessment model (IAM) frameworks, the SACRED framework is detailed with granular representations of key features such as water systems, agriculture, and infrastructure. In addition, the economic model within SACRED has strong detail in water and in regional agriculture. As a result, it meshes well with the bio-physical modelling approaches that are key to appropriately representing climate change within the economic model.
Key components of the framework are:
1. Incorporating both climate uncertainty and weather variability.
2. Using biophysical modelling to evaluate climate/weather impact on agricultural production.
3. Using water and hydrological models to assess future climate impact on irrigation, hydropower, droughts, and flooding.
4. Using both climate and water models to inform the assessment of damages from extreme events such as flooding, storm surge, and salinization on agriculture, infrastructure, and other capital.
5. When necessary, using additional models to assess options for the energy sector and to compute changes in greenhouse gas emissions.
6. Using an economic model to assess impact on GDP, welfare, employment, prices, and trade.
Selected publications related to SACRED
Special Issue of Climatic Change on the Zambezi River Valley. Table of contents here:
1) Arndt, C., and F. Tarp. 2015. Climate Change Impacts and Adaptations: Lessons Learned from the Greater Zambezi River Valley and Beyond. Climatic Change. 130(1):1-8.
2) Schlosser, C.A., K. Strzepek. 2015. Regional climate change of the greater Zambezi River Basin: a hybrid assessment. Climatic Change 130:9-19.
3) Arndt, C., Fant, C., Robinson, S. et al. 2015. Informed selection of future climates. Climatic Change 130, 21-33.
4) Fant, C., Y. Gebretsadik, A. McCluskey, and K. Strzepek. 2015. An uncertainty approach to assessment of climate change impacts on the Zambezi River Basin. Climatic Change 130:35-48
5) Chinowsky, P.S., A.E. Schweikert, N.L. Strzepek and K. Strzepek. 2015. Infrastructure and climate change: a study of impacts and adaptations in Malawi, Mozambique, and Zambia. Climatic Change 130:49-62.
6) Arndt, C., and J. Thurlow. 2015. Climate uncertainty and economic development: evaluating the case of Mozambique to 2050. Climatic Change 130:63-75.
Akpalu, W. and M. Bezabih. 2015. Tenure Insecurity, Climate Variability and Renting out Decisions among Female Small-Holder Farmers in Ethiopia. Sustainability 7(6):7926-7941.
Akpalu, W., C. Arndt, and I. Matshe. 2015. Introduction to the special issue on the economics of climate change in developing countries: Selected studies of impacts and adaptations in Sub-Saharan Africa and South-East Asia. Sustainability. 7(2015):12122-12126.
Akpalu, W., I. Dasmani, and A.K. Normanyo. 2015. Optimum Fisheries Management under Climate Variability: Evidence from Artisanal Marine Fishing in Ghana. Sustainability 7(6):7942-7958.
Amisigo, B.A., A. McCluskey, and R. Swanson. 2015. Modeling Impact of Climate Change on Water Resources and Agriculture Demand in the Volta Basin and other Basin Systems in Ghana. Sustainability 7(6):6957-6975.
Arndt, C., C.A. Schlosser, K. Strzepek, and J. Thurlow. 2014. Climate Change and Economic Growth Prospects for Malawi: An Uncertainty Approach. Journal of African Economies. 23(4): ii83-ii107
Arndt, C., C.A. Schlosser, K. Strzepek, and J. Thurlow. 2014. Climate Change and Economic Growth Prospects for Malawi: An Uncertainty Approach. Journal of African Economies. 23(4): ii83-ii107
Arndt, C., F. Asante and J. Thurlow. 2015. Implications of Climate Change for Ghana’s Economy. Sustainability 7(6):7214-7231.
Arndt, C., F. Tarp, and J. Thurlow. 2015. The Economic Costs of Climate Change: A Multi-Sector Impact Assessment for Vietnam. Sustainability 7(4):4131-4145.
Arndt, C., P. Chinowsky, C. Fant, S. Paltsev, A. Schlosser, K. Strzepek, F. Tarp, and J. Thurlow. 2019. Climate change and developing country growth: The cases of Malawi, Mozambique, and Zambia. Climatic Change 154(3-4): 335-349.
Berhanu, W. and F. Beyene. 2015. Climate Variability and Household Adaptation Strategies in Southern Ethiopia. Sustainability 7(6):6353-6375.
Chinowsky, P.S., A.E. Schweikert, N. Strzepek, and K. Strzepek. 2015. Road Infrastructure and Climate Change in Vietnam. Sustainability 7(5):5452-5470.
Cullis, J., T. Alton, C. Arndt, A. Cartwright, A. Chang, S. Gabriel, Y. Gebretsadik, F. Hartley, G. de Jager, K. Makrelov, G. Robertson, A. C. Schlosser, K. Strzepek, and J. Thurlow. 2015. An Uncertainty Approach to Modelling Climate Change Risk in South Africa. WIDER Working Paper 2015/045
Enahoro, D., Sircely, J., Boone, R. B., Oloo, S., Komarek, A. M., Bahta, S., … Rich, K. M. 2021. Feed biomass production may not be sufficient to support emerging livestock demand: Model projections to 2050 in Southern Africa. SocArXiv.
Hachigonta, Sepo, ed.; Nelson, Gerald C., ed.; Thomas, Timothy S., ed.; Sibanda, Lindiwe M., ed. 2013. Southern african agriculture and climate change: A comprehensive analysis. Washington, D.C.: International Food Policy Research Institute (IFPRI).
Hartley, F., S. Gabriel, J. Cullis, and C. Arndt. 2021. Climate uncertainty and agricultural vulnerability in South Africa. SA-TIED Working Paper 162
Manuel, L., E. Tostão, O. Vilanculos, G. Mandlhate, and F. Hartley. 2020. Economic implications of climate change in Mozambique. SA-TIED Working Paper #136
Neumann, J.E., K.A. Emanuel, S. Ravela, L.C. Ludwig, and C. Verly. 2015. Risks of Coastal Storm Surge and the Effect of Sea Level Rise in the Red River Delta, Vietnam. Sustainability 7(6):6553-6572.
Ngoma, H., P. Lupiya, M. Kabisa, and F. Hartley. 2020. Impacts of climate change on agriculture and household welfare in Zambia: An economy-wide analysis. SA-TIED Working Paper #132
Payet-Burin, Raphael; Kenneth Strzepek. 2021. Development of a modelling framework to analyze the interrelations between the water, energy, and food systems in the Zambezi River Basin. SA-TIED Working Paper 182.
Payet-Burin, Raphael; Kenneth Strzepek. 2021. Interrelations between the water, energy and food systems and climate change impacts in the Zambezi River Basin. SA-TIED Working Paper 181.
Robinson, Sherman; Mason d'Croz, Daniel; Islam, Shahnila; Sulser, Timothy B.; Robertson, Richard D.; Zhu, Tingju; Gueneau, Arthur; Pitois, Gauthier; and Rosegrant, Mark W. 2015. The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model description for version 3. IFPRI Discussion Paper 1483. Washington, D.C.: International Food Policy Research Institute (IFPRI).
Schlosser, Adam; Sokolov, Andrei; Strzepek, Kenneth M.; Thomas, Timothy S.; Gao, Xiang; and Arndt, Channing. 2020. The changing nature of hydroclimatic risks across Southern Africa. SA-TIED Working Paper 101.
Simbanegavi, W. and C. Arndt. 2014. Climate Change and Economic Development in Africa: An Overview. Journal of African Economies. 23(4): ii4-ii16.
Tembo, B., S. Sihubwa, I. Masilokwa, and M. Nyambe-Mubanga. 2020. Economic implications of climate change in Zambia. SA-TIED Working Paper #137
Twerefou, D.K., P. Chinowsky, K. Adjei-Mantey, Strzepek, N.L. 2015. The Economic Impact of Climate Change on Road Infrastructure in Ghana. Sustainability. 2015; 7(9):11949-11966.
Abay, Kibrom A.; Abdelradi, Fadi; Kassim, Yumna; Guo, Zhe. Washington, DC 2022
► Targeting of stimulus and recovery packages based on the economic repercussions experienced across geographies and sectors
► Identifying and supporting promising value chains which experienced a significant slowdown in economic activities
► Diversifying economic activities and markets to improve the resilience of agri-food systems.
► Investment in data infrastructure to monitor and respond to future shocks. This may be supported by scale up of digital solutions, which proved to be effective in sustaining business activities even during the pandemic.
Abay, Kibrom A.; Abate, Gashaw Tadesse; Chamberlin, Jordan; Kassim, Yumna; Spielman, David J.; Tabe-Ojong, Martin Paul, Jr.. Washington, DC 2022
Key messages
• Many digital innovations have been developed and deployed in recent years in Africa, many of which have only been implemented at pilot stages, with limited evidence of successful scaling.
• There remains significant marketing and institutional constraints hindering the development of some of these digital innovations, which may further explain disparate progress in countries.
• Differential access to digital innovations across genders and different typologies of households may trigger alternative variants of digital divide.
• Although the landscape of digital innovations in Africa offers several reasons to remain optimistic, the prevailing disconnect between pilots and scale-ups merits further evaluation.
Nico, Gianluigi; Azzarri, Carlo. Washington, DC 2022
El Shabrawy, Atef; Gilligan, Daniel O.; Kurdi, Sikandra; Palloni, Giordano; Yassa, Basma. Washington, DC 2022
El Shabrawy, Atef; Gilligan, Daniel O.; Kurdi, Sikandra; Palloni, Giordano; Yassa, Basma. Washington, DC 2022
Njuki, Jemimah; Benin, Samuel; Marivoet, Wim; Ulimwengu, John M.; Mwongera, Caroline; Breisinger, Clemens; Elmahdi, Amgad; Kassim, Yumna; Perez, Nicostrato D.; Akramov, Kamiljon T.; Djumaboev, Kahramon; Romashkin, Roman; Mukherji, Aditi; Kishore, Avinash; Rashid, Shahidur; Chen, Kevin Z.; Zhan, Yue; Diaz-Bonilla, Eugenio; Navarrete-Frias, Carolina; Piñeiro, Valeria. Washington, DC 2022
- Scaling up social protection programs in Africa south of the Sahara
- Strengthening the focus on climate adaptation in Africa
- Rethinking water use in the Middle East and North Africa
- Promoting climate-smart practices and crop diversification in Central Asia
- Reforming agricultural support policies in South Asia
- Improving financing for climate change mitigation and adaptation in East and Southeast Asia
- Supporting global food security and sustainability in Latin America and the Caribbean
Tabe-Ojong, Martin Paul Jr.; Nshakira-Rukundo, Emmanuel; Gebrekidan, Bisrat. Washington, DC 2022
This review provides evidence that COVID-19 is associated with food insecurity both ex-ante and ex-durante. There are many attempts to suggest this relationship may be causal with some robust methods in some contexts, but data limitations prevail which constrains causal learning. We also find evidence that income losses, loss of employment, and heightened food prices may be mediating the relationship between COVID-19 and food insecurity. Going further, we additionally review the mitigating role of social protection and remittances in reducing the negative effects of COVID-19 on food insecurity. Relatedly, we also show evidence that households are using various coping strategies such as food rationing and dietary change to cushion themselves against the COVID-19 shock but most of these measures remain adversely correlated with food insecurity. We end with a discussion on some potential interesting areas where future efforts can be geared to improve learning on the relationship between COVID-19, food insecurity, and building resilience to shocks.
Abay, Kibrom A.; Breisinger, Clemens; Glauber, Joseph W.; Kurdi, Sikandra; Laborde Debucquet, David; Siddig, Khalid. Washington, DC 2022
Ambler, Kate; de Brauw, Alan; Herskowitz, Sylvan; Pulido, Cristhian. Washington, DC 2022
Abay, Kibrom A.; Abdelradi, Fadi; Breisinger, Clemens; Diao, Xinshen; Dorosh, Paul A.; Pauw, Karl; Randriamamonjy, Josee; Raouf, Mariam; Thurlow, James. Washington, DC 2022
Brune, Lasse; Karlan, Dean; Kurdi, Sikandra; Udry, Christopher R.. 2022
Scanlon, Bridget R.; Rateb, Ashraf; Anyamba, Assaf; Kebede, Seifu; McDonald, Alan M.; Xie, Hua. 2022
Vicol, Mark; Fold, Niels; Hambloch, Caroline; Narayanan, Sudha; Niño, Helena Pérez. 2022
Mukashov, Askar; Breisinger, Clemens; Engelke, Wilfried; Wiebelt, Manfred. 2022
Akseer, Nadia; Keats, Emily Catherine; Thurairajah, Pravheen; Cousens, Simon N.; Betran, Ana Pilar; Oaks, Brietta M.; Huybregts, Lieven. 2022
Methods: This study was conducted between March 16, 2018 and May 25, 2021. Data were obtained from 20 randomised controlled trials of micronutrient supplementation in pregnancy. Stratified analyses were conducted by age (10–14 years, 15–17 years, 18–19 years, 20–29 years, 30–39 years, 40+ years) and geographical region (Africa, Asia). Crude and confounder-adjusted means, prevalence and relative risks of pregnancy, nutrition and birth outcomes were estimated using multivariable linear and log-binomial regression models with 95% confidence intervals.
Findings: Adolescent mothers comprised 31.6% of our data. Preterm birth, small-for-gestational age (SGA), low birthweight (LBW) and newborn mortality followed a U-shaped trend in which prevalence was highest among the youngest mothers (10–14 years) and then reduced gradually, but increased again for older mothers (40+ years). When compared to mothers aged 20–29 years, there was a 23% increased risk of preterm birth, a 60% increased risk of perinatal mortality, a 63% increased risk of neonatal mortality, a 28% increased risk of LBW, and a 22% increased risk of SGA among mothers 10–14 years. Mothers 40+ years experienced a 22% increased risk of preterm birth and a 103% increased risk of stillbirth when compared to the 20–29 year group.
Interpretation: The youngest and oldest mothers suffer most from adverse pregnancy and birth outcomes. Policy and programming agendas should consider both biological and socioeconomic/environmental factors when targeting these populations.
Mensah, Justice Tei; Tafere, Kibrom; Abay, Kibrom A.. Washington, DC 2022
Gabriel, Sherwin; Sulser, Timothy B.. 2022
Laar, Amos K.; Addo, Phyllis; Aryeetey, Richmond; Agyemang, Charles; Zotor, Francis; Covic, Namukolo. 2022
Abay, Kibrom A.; Abdelfattah, Lina Alaaeldin; El-Enbaby, Hoda; Mahmoud, Mai; Breisinger, Clemens. 2022
Azzarri, Carlo; Nico, Gianluigi. 2022
Basheer, Mohammed; Nechifor, Victor; Calzadilla, Alvaro; Ringler, Claudia; Hulme, David; Harou, Julien J.. 2022
Abay, Kibrom A.; Yonzan, Nishant; Kurdi, Sikandra; Tafere, Kibrom. Washington, DC 2022
McMillan, Margaret S.; Zeufack, Albert. 2022
de Haan, Nicoline C.; Gilligan, Daniel; Cole, Steve; Puskur, Ranjitha; Roy, Shalini; Kosec, Katrina. 2022
Benin, Samuel. 2022
Otsuka, Keijiro, ed.; Fan, Shenggen, ed.. Washington, DC 2021
The changing global landscape combined with new and better data, technologies, and understanding means that agriculture can and must contribute to a wider range of development outcomes than ever before, including reducing poverty, ensuring adequate nutrition, creating strong food value chains, improving environmental sustainability, and promoting gender equity and equality.
Agricultural Development: New Perspectives in a Changing World, with its unprecedented breadth and scope, will be an indispensable resource for the next generation of policymakers, researchers, and students dedicated to improving agriculture for global wellbeing.
Otsuka, Keijiro, ed.; Fan, Shenggen, ed.. Washington, DC 2021
The changing global landscape combined with new and better data, technologies, and understanding means that agriculture can and must contribute to a wider range of development outcomes than ever before, including reducing poverty, ensuring adequate nutrition, creating strong food value chains, improving environmental sustainability, and promoting gender equity and equality.
Agricultural Development: New Perspectives in a Changing World, with its unprecedented breadth and scope, will be an indispensable resource for the next generation of policymakers, researchers, and students dedicated to improving agriculture for global wellbeing.
Fan, Shenggen; Otsuka, Keijiro. Washington, DC 2021
Abay, Kibrom A.; El-Enbaby, Hoda; Abdelfattah, Lina Alaaeldin; Breisinger, Clemens. Washington, DC 2021
In this paper we investigate the implication of land scarcity on agricultural intensification and the relevance of the Boserup hypothesis in the context of Egypt, where agriculture is dominated by irrigation and input application rates are much higher than SSA. We also examine whether evolving agricultural intensification practices induced by land scarcity are agronomically appropriate and yield-enhancing. We find that land scarcity induces higher application of agricultural inputs, mainly nitrogen fertilizers, sometimes beyond the level that is agronomically recommended. More importantly, land scarcity increases overapplication of nitrogen fertilizer relative to crop-specific agronomic recommendations. This implies that land constraints remain as important challenges for sustainable agricultural intensification. Finally, we find suggestive evidence that such overapplication of nitrogen fertilizers is not yield-enhancing, but, rather, yield-reducing. We also document that land scarcity impedes mechanization of agriculture. Our findings have important implications to inform appropriate farm management and sustainable intensification practices. Furthermore, our results can inform long-term policy responses to land scarcity.
International Food Policy Research Institute (IFPRI). Washington, D.C.; Cairo, Egypt 2021
Elsabbagh, Dalia; Kurdi, Sikandra; Wiebelt, Manfred. Washington, DC 2021
Raouf, Mariam; Randriamamonjy, Josée; Elsabbagh, Dalia; Wiebelt, Manfred. Washington, DC 2021
Perez, Nicostrato D.; Kassim, Yumna; Ringler, Claudia; Thomas, Timothy S.; ElDidi, Hagar. Washington, DC 2021
Perez, Nicostrato D.; Kassim, Yumna; Ringler, Claudia; Thomas, Timothy S.; ElDidi, Hagar. Washington, DC 2021
Abay, Kibrom A.; El-Enbaby, Hoda; Abdelfattah, Lina Alaaeldin; Breisinger, Clemens. Washington, DC 2021
Abdelaziz, Fatma; Abay, Kibrom A.; El-Enbaby, Hoda; Breisinger, Clemens; Kurdi, Sikandra. Washington, DC 2021
Breisinger, Clemens; Kassim, Yumna; Kurdi, Sikandra; Randriamamonjy, Josée; Thurlow, James. Washington, DC 2021
CGIAR Research Program on Policies, Institutions, and Markets (PIM). Washington, DC 2021
Serag, Eman; Ibrahim, Fatma; El Araby, Zainab; Abd El Latif, Mona; El Sarawy, Mahmoud; El Zaabalawy, Dalia; El Dib, Saad Allah; Salem, Kotb; Breisinger, Clemens; Raouf, Mariam. Washington, DC 2021
Bouët, Antoine; Laborde Debucquet, David; Traore, Fousseini. Washington, DC 2021
Bouёt, Antoine, ed.; Tadesse, Getaw, ed.; Zaki, Chahir, ed.. Kigali, Rwanda; Washington, DC 2021
Baghdadi, Leila; Karray, Zouhour; Zaki, Chahir. Kigali, Rwanda; Washington, DC 2021
The remainder of the chapter is organized as follows: The next section provides a historical overview of the AMU. This is followed by an analysis of the region's trade flows (intra- vs. extraregional trade flows). We then explore the untapped potential of the AMU’s main markets and export products. The following section discusses the factors that have hindered the integration of the AMU countries, and the final section concludes.
Bouët, Antoine; Laborde Debucquet, David; Seck, Abdoulaye. Kigali, Rwanda; Washington, DC 2021
Kurtz, Julie E.; Mitik, Lulit; Zaki, Chahir. Kigali, Rwanda; Washington, DC 2021
Bouët, Antoine; Sall, Leysa Maty. Kigali, Rwanda; Washington, DC 2021
Goundan, Anatole; Tadesse, Getaw. Kigali, Rwanda; Washington, DC 2021
Bouët, Antoine; Tadesse, Getaw; Zaki, Chahir. Kigali, Rwanda; Washington, DC 2021
Perez, Nicostrato D.; Kassim, Yumna; Ringler, Claudia; Thomas, Timothy S.; ElDidi, Hagar; Breisinger, Clemens. Washington, DC 2021
ElDidi, Hagar; van Biljon, Chloe; Alvi, Muzna Fatima; Ringler, Claudia; Ratna, Nazmun; Abdulrahim, Sawsan; Kilby, Patrick; Wu, Joyce; Choudhury, Zahid ul Arefin. Washington, DC 2021
Constas, Mark A.; Wohlgemuth, Max; Ulimwengu, John M.. Kigali, Rwanda; Washington, DC 2021
Ulimwengu, John M.; Constas, Mark A.; Ubalijoro, Éliane; Collins, Julia. Kigali, Rwanda; Washington, DC 2021
Ellis, Emmanuella; Kwofie, Ebenezer Miezah; Ngadi, Michael. Kigali, Rwanda; Washington, DC 2021
Yade, Mbaye; Matchaya, Greenwell; Karugia, Joseph; Goundan, Anatole; Guthiga, Paul; Taondyandé, Maurice; Odjo, Sunday; Nhlengethwa, Sibusiso. Kigali, Rwanda; Washington, DC 2021
Torero, Maximo. Kigali, Rwanda; Washington, DC 2021
Ulimwengu, John M.; Constas, Mark A.; Ubalijoro, Éliane; Collins, Julia. Kigali, Rwanda; Washington, DC 2021
Kwofie, Mabel Kyei; Kwofie, Ebenezer Miezah; Ngadi, Michael. Kigali, Rwanda; Washington, DC 2021
Ly, Racine; Dia, Khadim; Diallo, Mariam A.. Kigali, Rwanda; Washington, DC 2021
d’Errico, Marco; Jumbe, Ellestina; Constas, Mark A.. Kigali, Rwanda; Washington, DC 2021
Ulimwengu, John M., ed.; Constas, Mark A., ed.; Ubalijoro, Éliane, ed.. Kigali, Rwanda; Washington, DC 2021
Tadesse, Getaw; Tefera, Wondwosen. Kigali, Rwanda; Washington, DC 2021
Ulimwengu, John M.; Domgho, Léa Magne; Collins, Julia. Kigali, Rwanda; Washington, DC 2021
Fofana, Ismaël; Camara, Alhassane; Diallo, Mariam A.; Sall, Leysa M.. Kigali, Rwanda; Washington, DC 2021
Tefera, Wondwosen; Collins, Julia; Makombe, Tsitsi. Kigali, Rwanda; Washington, DC 2021
Benammour, Omar; Davis, Benjamin; Knowles, Marco; Pace, Noemi; Sitko, Nicholas J.. Kigali, Rwanda; Washington, DC 2021
Duchoslav, Jan; Hirvonen, Kalle. Kigali, Rwanda; Washington, DC 2021
African Union. Addis Ababa, Ethiopia 2021
Stads, Gert-Jan; Nin-Pratt, Alejandro; Beintema, Nienke M.. Washington, DC 2021
Benin, Samuel. Washington, DC 2021
The trends in the indicators are different. For example, access to finance and extension have risen over time; fertilizer use, irrigation development, agriculture growth, and adult undernourishment have fallen over time; and child nutrition and poverty have remained stagnant over time. Different policy indicators are significantly associated with different indicators of agriculture intensification, agriculture growth, and outcomes. Also, there are differences in the results across the agriculture transformation groups. Major policy drivers of agriculture transformation in the different groups are identified. Implications of the results and suggestions for future research are discussed.
Sproule, Katie; Bliznashka, Lilia. Washington, DC 2021
The study was carried out through four case studies. Case 1 focused on a long-term partnership between IFPRI and Helen Keller International (HKI), documenting how it was formed, how it operated, and what outputs it produced. Case 2 looked at the evidence generated by this partnership on the effectiveness of homestead food production (HFP) programs on nutrition-related outcomes and its use by funders, implementers, and researchers. Case 3 looked at how and to what extent the approaches developed by the partnership for the design, implementation, and evaluation of programs — specifically the program impact pathway (PIP) approach — have influenced the broader field of program evaluation. Case 4 examined a partnership between IFPRI and the World Food Programme (WFP), documenting how it was formed, how it operated, and what outputs it has produced to date. The four case studies were completed through a series of in-depth interviews (IDIs) with key informants from a number of research, implementer, and funder organizations. Data from the IDIs were complemented by document and literature reviews.
Abdelaziz, Fatma; Ellis, Mia; Zhang, Xiaobo. Washington, DC 2021
Abdelaziz, Fatma; Abdelghany, Nancy; Ellis, Mia; William, Amy; Zhang, Xiaobo. Washington, DC 2021
Findings indicate that it is essential for governments to develop policy responses to the challenges-and especially barriers-to the development of business clusters, while simultaneously supporting and creating incentives for the cooperation, entrepreneurship, and collective action needed for business clusters to thrive and grow. As anticipated, challenges and obstacles-whether overarching or in response to shocks-are unique to specific sectors, contexts, and times, and hence need to be dealt with as an ongoing facilitation process.
Reardon, Thomas; Tschirley, David; Liverpool-Tasie, Lenis Saweda O.; Awokuse, Titus; Fanzo, Jessica; Minten, Bart; Vos, Rob. 2021
Peterman, Amber; Schwab, Benjamin; Roy, Shalini; Hidrobo, Melissa; Gilligan, Daniel O.. 2021
Bouët, Antoine; Cisse, Brahima; Traoré, Fousseini. 2021
Ecker, Olivier; Maystadt, Jean-Francois. Giza, Egypt 2021
Stoop, Nik; Hirvonen, Kalle; Maystadt, Jean-Francois. 2021
Fathelrahman, Eihab; Davies, Stephen; Muhammad, Safdar. 2021
Covic, Namukolo. 2021
Kurdi, Sikandra. 2021
Njuki, Jemimah; Nsimadala, Elizabeth. 2021
Ecker, Olivier; Maystadt, Jean-Francois. Berlin, Germany 2021
de Brauw, Alan; Bulte, Erwin. Cham, Switzerland 2021
Chan, Chin Yee; Tran, Nhuong; Cheong, Kai Ching; Sulser, Timothy B.; Cohen, Philippa J.; Wiebe, Keith D.. 2021
McMillan, Margaret S.; Zeufack, Albert. Cambridge, MA 2021
Bouët, Antoine; Laborde Debucquet, David; Traore, Fousseini. 2021
Timu, Anne G.; Aju, Stellamaris; Kramer, Berber. 2021
To better understand the individual and societal benefits of CIS, IFPRI is developing a toolkit that evaluates the costs and benefits of country-specific CIS packages. The toolkit will go beyond the conventional approach that measures the net present value of gains in farm productivity and profitability to evaluate impacts on a range of other outcome variables that are not traded in the market (for example, more stable and predictable income flows, improved women’s agency, reductions in workload and intra-household labor allocations, and changes in health and behavioral outcomes).
Breisinger, Clemens; Raouf, Mariam; Wiebelt, Manfred. Washington, DC; Cairo, Egypt 2020
Salhine, Rim Ben; Younes, Anis Ben; El Kadhi, Zouhair; Jebali, Belhassen; Raouf, Mariam. Washington, DC 2020
The level of disaggregation of accounts in the matrix varies according to the analyses to be undertaken and data availability. The accounts in a national SAM generally are production activities, commodities, institutions, and factors of production. For economic analyses and planning, a more detailed SAM is constructed. These involve disaggregation of activities, households, and factors of production from the more general national SAM. In such matrices, the national economy often will also be disaggregated into sub-national regions. Such SAMs provide rich datasets to help decision-makers in developing, designing, and evaluating regional economic and investment policies.
As part of the technical cooperation within the (Arab) Agricultural Investment Development Analyzer (AIDA) project, which aims to develop tools for planning and evaluating investment projects in the agricultural sector, the Institut Tunisien de la Compétitivité et des Etudes Quantitatives (ITCEQ – the Tunisian Institute of Competitiveness and Quantitative Studies), in collaboration with the International Food Policy Research Institute (IFPRI), have built a regionalized SAM of the Tunisian economy with detailed disaggregation at the sector, product, household, and regional levels. This SAM has been constructed using IFPRI's Nexus format, which uses common data standards, procedures, and classification systems for constructing and updating national SAMs.
The regionalized SAM for Tunisia was built using national accounts statistics for the country, the Supply and Use Tables for 2015, which are produced by the National Institute of Statistics (NIS). The regionalized matrix is constructed in three steps – national, household, and regional.
• The national 2015 SAM for Tunisia includes 46 sectors and 46 products.
• For the household SAM, factors of production are split into 13 categories. Capital is disaggregated into four subcategories: crops, livestock, mining, and other. Land is a separate factor of production category. Labor is disaggregated into four education-level categories and across rural and urban areas. For the household SAM, household accounts are split into 15 categories by rural farm, rural nonfarm, and urban categories and then by national per capita expenditure quintiles.
• For the regionalized SAM, sectoral production, production factors, and household groups are disaggregated into seven subnational regions: Greater Tunis, North East, North West, Center East, Center West, South East, and South West. The regional 2015 SAM in total has 105 household groups and is composed of 513 rows x 513 columns.
International Food Policy Research Institute (IFPRI). Washington, DC 2020
Mueller, Valerie; Rosenbach, Gracie; Thurlow, James. Washington, DC 2020
KEY FINDINGS
- Africa’s working-age population is growing by 20 million a year, and by 2050 will be growing by 30 million a year, raising questions about whether the region can create enough jobs for young people.
- Concerns should not be overblown—the share of young people in the working-age population peaked in Africa at roughly 38 percent in 2001, not much larger than the peak share in other developing regions during their own “youth bulges.”
Africa’s rural areas and food systems will have to play a bigger role in absorbing young job seekers than they did in other regions, given the continued growth of rural populations.
- Opportunities in food systems for youth may be overestimated: Young farmers who are familiar with information technologies are not necessarily more likely than their elders to adopt improved inputs or increase productivity. Nor are they more likely to operate or work for a nonfarm enterprise or to migrate to large urban centers.
- Broad-based development policies that create opportunities for all rural people may do more to support the growing youth population than polices designed specifically for youth.
International Food Policy Research Institute (IFPRI). Washington, DC 2020
Badiane, Ousmane; Collins, Julia; Makombe, Tsitsi; Abdelaziz, Fatma; Breisinger, Clemens; Khouri, Nadim; Thurlow, James; Akramov, Kamiljon T.; Romashkin, Roman; Park, Allen; Ilyasov, Jarilkasin; Rashid, Shahidur; Ahmed, Akhter; Rana, Abdul Wajid; Chen, Kevin Z.; Timmer, Peter; Dawe, David; Li, Mengyao; Díaz-Bonilla, Eugenio; Piñeiro, Valeria. Washington, DC 2020
International Food Policy Research Institute (IFPRI). Washington, DC 2020
Vos, Rob; Cattaneo, Andrea. Washington, DC 2020
KEY FINDINGS
- Propelled by urbanization, rising incomes, and changing diets, food markets are expanding in Africa and South Asia, creating enormous potential for job and income opportunities along food supply chains.
- Small and medium-sized enterprises have proliferated in storage, logistics, transportation, and wholesale and retail distribution to meet growing rural and urban food demands. This so-called quiet revolution appears to be taking place out of sight of policymakers, leaving much of the potential for inclusive value-chain development untapped.
- Smallholders often struggle to connect with actors in the middle of the food supply chain as a result of limited access to land and inputs and lack of capacity to scale up or implement new practices to meet quality requirements.
- Lack of infrastructure and skills is holding back the development of food supply chains in low-income Africa and Asia, especially where the potential is greatest: in small towns and intermediate cities near rural farmlands.
Vos, Rob; Jackson, Julius; James, Sally; Sánchez, Marco V.. Washington, DC 2020
KEY FINDINGS
- More than half of all undernourished people live in countries affected by conflict.
- Food insecurity and dispossession of agricultural assets can both trigger and result from civil strife.
- Most conflict-affected countries are overwhelmingly rural, and rural populations are more vulnerable to climate shocks that often compound conflict situations.
- Refugee host countries must often decide whether to focus responses on preparing affected populations to return home or helping them become economically self-reliant.
- Integrating conflict-affected people into food systems— either in their new homes or the places they fled—can help them rebuild their lives.
Fan, Shenggen; Swinnen, Johan. Washington, DC 2020
KEY FINDINGS
- Inclusive food systems can help break the intergenerational cycle of poverty, hunger, and malnutrition.
- Including marginalized people in food systems can help them secure well-paying jobs and make gains in other areas that impact long-term livelihoods, such as education.
- A value chain framework is key to designing inclusive food systems—from improving farmers’ access to resources and information to creating off-farm jobs and enterprises in the midstream of the chain.
- Recent innovations such as mobile phone technologies offer opportunities for marginalized and excluded populations to access information and services, and to participate all along the food value chain.
- Education is a major driver of inclusion, increasing lifelong income and improving nutrition, health, civic engagement, and gender equality.
- Marginalized people should be empowered to make strategic choices within food systems and have a voice in holding governments accountable for delivery of inclusive food systems.
Kurdi, Sikandra; Mahmoud, Mai; Abay, Kibrom A.; Breisinger, Clemens. Washington, DC 2020
Breisinger, Clemens; Abdelatif, Abla; Raouf, Mariam; Wiebelt, Manfred. Washington, DC 2020
Our results suggest that COVID-19 could reduce national GDP by between 0.7 and 0.8 percent (EGP 36 to 41 billion) for each month that the global crisis continues.
Similarly, household consumption and expenditure is estimated to decline on average by between EGP 153 and EGP 180 per person per month, which is between 9.0 and 10.6 percent of average household income.
The cumulative loss in GDP from these three external shocks alone could amount to between 2.1 and 4.8 percent of annual GDP in 2020 if the crisis lasts for 3 to 6 months.
While the country’s focus currently is rightly on fighting the health crisis and mitigating its immediate impacts, planning on how to re-open the economy should also start now.
Benin, Samuel. Washington, DC 2020
Breisinger, Clemens; Engelke, Wilfried; Mukashov, Askar; Wiebelt, Manfred. Washington, DC 2020
ElKadhi, Zouhair; Elsabbagh, Dalia; Frija, Aymen; Lakoud, Thouraya; Wiebelt, Manfred; Breisinger, Clemens. Washington, DC 2020
Higher-income urban households will see the largest income losses, although lower-income urban households also will experience significant reductions in their income. As a policy response, social transfers towards poorer households will reduce the adverse welfare impact of these drops in household income. Government policies to support struggling businesses will allow economic activities to revive more rapidly when the lockdown loosens. Consequently, comprehensive planning by the Government of Tunisia to re-open the economy will be critical to reduce the pandemic’s adverse impact on the country’s economy in the longer-term, reducing losses of employment and income, especially in manufacturing and retail.
Swinnen, Johan, ed.; McDermott, John, ed.. Washington, DC 2020
Breisinger, Clemens; Raouf, Mariam; Wiebelt, Manfred; Kamaly, Ahmed; Karara, Mouchera. Washington, DC 2020
Thurlow, James; Holtemeyer, Brian; Kassim, Yumna; Kurdi, Sikandra; Randriamamonjy, Josée; Raouf, Mariam; Elsabbagh, Dalia; Wiebelt, Manfred; Breisinger, Clemens. Washington, DC 2020
Abay, Kibrom A.; Ibrahim, Hosam. Washington, DC 2020
• We find that demand for those services that require face-to-face interaction, including hotels and restaurants, air travel and tourism services, significantly dipped after Egypt detected the first COVID-19 case and more so after the Egyptian government introduced major restrictions and curfews. For instance, in the first two months of the outbreak of the pandemic, February and March, demand for hotel and restaurant services contracted by about 70 percent.
• In contrast, demand for services that substitute or reduce personal interactions, such as information and communications technologies (ICT) and delivery services, have enjoyed a significant boost. Demand for ICT services tripled, while demand for delivery services doubled in the four months since the outbreak of the pandemic.
• Intuitively, these results suggest that individuals and enterprises operating in these sectors are expected to experience heterogenous impacts and damages associated with the pandemic. Our results, along with other evolving evidence, reinforce that those services and sectors negatively affected by the outbreak and spread of COVID-19 deserve attention.
• Finally, our analysis highlights the potential of near real-time "big data" to substitute and complement conventional data sources to estimate economic impacts and, hence, inform immediate and medium-term policy responses.
Resnick, Danielle. Washington, DC 2020
Bouët, Antoine; Laborde Debucquet, David. Washington, DC 2020
Breisinger, Clemens; Latif, Abla Abdel; Raouf, Mariam; Wiebelt, Manfred. Washington, DC 2020
Bett, Bernard; Randolph, Delia; McDermott, John. Washington, DC 2020
Thurlow, James. Washington, DC 2020
Malabo Montpellier Panel. Dakar, Senegal 2020
Cenacchi, Nicola; Brooks, Karen; Dunston, Shahnila; Wiebe, Keith D.; Arndt, Channing; Hartley, Faaiqa; Robertson, Richard D.. Washington, DC 2020
Initiative for Food and Nutrition Security in Africa (IFNA). Washington, DC 2020
Olagunju, Kehinde O.; Ogunniyi, Adebayo; Oguntegbe, Kunle F.; Oyetunde-Usman, Zainab A.; Adenuga, Adewale H.; Andam, Kwaw S.. Washington, DC 2020
Bouët, Antoine; Odjo, Sunday P.; Zaki, Chahir. Washington, DC 2020
Bouët, Antoine, ed.; Odjo, Sunday P., ed.; Zaki, Chahir, ed.. Washington, DC 2020
Kramer, Berber; Rusconi, Rob; Glauber, Joseph W.. Washington, DC 2020
Resnick, Danielle; Diao, Xinshen; Tadesse, Getaw. Washington, DC; Kigali 2020
Jaffee, Steve; Henson, Spencer; Grace, Delia; Ambrosio, Mateo; Berthe, Franck. Washington, DC; Kigali 2020
Makombe, Tsitsi; Tefera, Wondwosen; Ulimwengu, John M.. Washington, DC; Kigali 2020
Mukasa, Adamon N.; Ndung’u, Njuguna; Shimeles, Abebe. Washington, DC; Kigali 2020
Resnick, Danielle. Washington, DC; Kigali 2020
Badiane, Ousmane; Collins, Julia; Ulimwengu, John M.. Washington, DC; Kigali 2020
Resnick, Danielle, ed.; Diao, Xinshen, ed.; Tadesse, Getaw, ed.. Washington, DC; Kigali 2020
Ulimwengu, John M.; Matchaya, Greenwell; Makombe, Tsitsi; Oehmke, James F.. Washington, DC; Kigali 2020
Resnick, Danielle; Diao, Xinshen; Tadesse, Getaw. Washington, DC; Kigali 2020
Bouët, Antoine; Odjo, Sunday. Washington, DC; Kigali 2020
Kirui, Oliver. Washington, DC; Kigali 2020
Baumüller, Heike; Addom, Benjamin K.. Washington, DC; Kigali 2020
Abate, Gashaw Tadesse; Abay, Kibrom A.; Spielman, David J.. Washington, DC; Kigali 2020
Spielman, David J.. Washington, DC; Kigali 2020
Diao, Xinshen, ed.; Takeshima, Hiroyuki. ed.; Zhang, Xiaobo, ed.. Washington, DC 2020
Diao, Xinshen, ed.; Takeshima, Hiroyuki. ed.; Zhang, Xiaobo, ed.. Washington, DC 2020
Diao, Xinshen; Silver, Jed; Takeshima, Hiroyuki; Zhang, Xiaobo. Washington, DC 2020
Resnick, Danielle, ed.; Diao, Xinshen, ed.; Tadesse, Getaw, ed.. Washington, DC 2020
Resnick, Danielle. Washington, DC 2020
Kurtz, Julie E.; Ulimwengu, John M.. Washington, DC 2020
Kurtz, Julie E.; Ulimwengu, John M.. Washington, DC 2020
Breisinger, Clemens; Raouf, Mariam; Wiebelt, Manfred; Kamaly, Ahmed; Karara, Mouchera. Washington, DC 2020
International Food Policy Research Institute (IFPRI). Washington, DC 2020
This policy note highlights how digital tools can help improve monitoring, evaluation, and extension services in Egypt’s agriculture sector and how policy analysis can be institutionalized to guide transformation of the food system and rural economies. Four recommendations are discussed:
Building on ongoing efforts, continue to digitize agricultural information systems, build and link agricultural databases, and exploit new sources of data.
Build on ongoing projects that develop mobile telephone applications for farmers and learn from international experiences to revitalize and digitalize agricultural extension in Egypt.
Build the capacity of agricultural policy analysts within the Ministry of Agriculture and Land Reclamation and universities, using both conventional and new digital tools to provide high-quality, research-based policy advice.
Promote further digitalization to improve the resilience of food systems in view of shocks, such as the COVID-19 pandemic.
International Food Policy Research Institute (IFPRI). Washington, DC 2020
Invest in a renewed system of agricultural extension services, with an emphasis on new technologies and production systems and on nontraditional crops.
Ease rigidities for farmers and increase the market orientation of the agriculture sector, including markets for fertilizer and staple crops.
Revisit the current irrigation management system to allow for the adoption of new irrigation technologies and increased efficiency of water usage.
Support the development of agro-processing value chains where there are missing markets or market frictions in order to achieve a sustainable and nutrition-sensitive food system.
Coordinate agricultural policy with policies of other government ministries to support rural transformation and employment opportunities off the farm.
International Food Policy Research Institute (IFPRI). Washington, DC 2020
Social protection programs are essential for supporting Egyptians who are economically the most vulnerable. This brief makes the argument for moving more decisively toward a cash-based social protection system in Egypt. Four areas of action are highlighted:
Continue the well-functioning Takaful and Karama program and consider increasing its budget to adjust transfers to inflation.
Consider improving the targeting for Tamween food subsidies and integrating Takaful and Karama with Tamween.
Continue the use of transparent and independent impact evaluations to assess social protection programs in order to maximize their benefits for Egypt and its people.
Maintain the ability to respond flexibly to future shocks as an important feature of solidifying the national social protection system.
International Food Policy Research Institute (IFPRI). Washington, DC 2020
Addressing all forms of malnutrition – both undernutrition and overnutrition – remains a human and economic development challenge that Egypt must overcome. This brief highlights three areas of action to significantly improve the nutritional status of all Egyptians:
Make domestic food policies more nutrition-sensitive and incentivize food producers and marketers to shift to the production, processing, and marketing of healthier foods.
Expand ongoing awareness and educational campaigns, such as the 100 Million Healthy Lives initiative, to promote improved nutrition and to disseminate nutrition knowledge. The COVID-19 pandemic is an additional reminder and rationale for investing in healthy diets and sustainable food systems.
Promote research to make nutrition policy more effective and efficient, including by increasing collection of nutrition-related data and better sharing of already collected data among ministries, research institutes, and other stakeholders.
Abay, Kibrom A.; Ibrahim, Hosam; Breisinger, Clemens; Bayasgalanbat, Nomindelger. 2020
Bouët, Antoine; Kurtz, Julie E.; Traoré, Fousseini. Washington, DC 2020
International Food Policy Research Institute (IFPRI). Washington, DC 2020
In order to effectively allocate funds, build synergies and evaluate future proposals, users can visualize and monitor the status and progress of agricultural projects categorized by sector, location, donor or common objectives, as well as track projects’ key performance indicators. To contextualize projects and evaluate which governorates require further assistance, users can also quickly map, zoom and chart a wide range of socioeconomic indicators, at subnational levels, on food and nutrition security, poverty and development across Egypt, with a focus on Egypt’s Sustainable Development Strategy 2030 (SDS 2030 Pillars) the Sustainable Development Goals (SDGs), and Other Socioeconomic Indicators.
Figueroa, Jose Luis; Kurdi, Sikandra. 2020
Mete, Cem; Bossavie, Laurent; Giles, John; Alderman, Harold. 2020
Frija, Aymen; Chebil, Ali; Mottaleb, Khondoker Abdul; Mason-D'Croz, Daniel; Dhehibi, Boubaker. 2020
Thurlow, James; Mueller, Valerie. 2020
Baulch, Bob; Resnick, Danielle. 2020
Kurdi, Sikandra; Figueroa, Jose Luis; Ibrahim, Hosam. 2020
Wei, Yanbing; Lu, Miao; Wu, Wenbin; Ru, Yating. 2020
Peterman, Amber; Kumar, Neha; Pereira, Audrey; Gilligan, Daniel. 2020
Bett, Bernard; Randolph, Delia; McDermott, John. 2020
Mondal, Md. Hossain Alam; Ringler, Claudia. 2020
Thurlow, James. 2020
Galal, Rami; El-Enbaby, Hoda. 2020
Arndt, Channing; Loewald, Christopher; Makrelov, Konstantin. Pretoria, South Africa 2020
Baye, Kaleab; Hirvonen, Kalle. 2020
Arndt, Channing; Chambers, Judith A.; Zambrano, Patricia; Alahmdi, Mohammed Issa; Alatawi, Aishah; Benfica, Rui; Edward, Martin G.; Gatehouse, Angharad M. R.; Moronta-Barrios, Felix; Ahmed, Akhter. Saudi Arabia 2020
Mueller, Valerie; Gray, Clark; Hopping, Douglas. 2020
Brune, Lasse; Karlan, Dean; Kurdi, Sikandra; Udry, Christopher R.. Cambridge, MA 2020
Njuki, Jemimah. 2020
David, Noam; Gao, H. Oliver; Liu, Yanyan. 2020
Brearley, Emily; Kramer, Berber. 2020
Post, Lori; Marogi, Emily; Moss, Charles B.; Murphy, Robert Leo; Ison, Michael G.; Resnick, Danielle. Toronto, Canada 2020
Objective: The goal of this study is to provide advanced surveillance metrics, in combination with traditional surveillance, for COVID-19 transmission that account for weekly shifts in the pandemic speed, acceleration, jerk and persistence, to better understand country risk for explosive growth and to better inform those who are managing the pandemic. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed.
Methods: Using a longitudinal trend analysis study design, we extracted 30 days of COVID-19 data from public health registries. We use an empirical difference equation to measure the daily number of cases in the Middle East and North Africa as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments (GMM) approach by implementing the Arellano-Bond estimator in R
Results: The regression Wald statistic is significant (χ^2 (5)=859.5, P<.001). The Sargan test is not significant, failing to reject the validity of over identifying restrictions (χ^2 (294)= 16 P=.99). Countries with the highest cumulative caseload of the novel coronavirus include Iran, Iraq, Saudi Arabia, and Israel with 530,380, 426,634, 342,202, and 303,109 cases respectively. Many of the smaller countries in MENA have higher infection rates than those countries with the highest caseloads. Oman has 33.3 new infections per 100,000 population while Bahrain has 12.1, Libya has 14, and Lebanon has 14.6. In order of most to least number of cumulative deaths since January 2020, Iran, Iraq, Egypt, and Saudi Arabia have 30,375, 10,254, 6,120, and 5,185 respectively. Israel, Bahrain, Lebanon, and Oman had the highest rates of COVID-19 persistence which are the number of new infections statistically related to new infections 7 days ago. Bahrain had positive speed, acceleration and jerk signaling the potential for explosive growth. Conclusions: Static and dynamic public health surveillance metrics provide a more complete picture of pandemic progression across countries in MENA. Static measures capture data at a given point in time such as infection rates and death rates. By including speed, acceleration, jerk, and 7-day persistence, public health officials may design policy with an eye to the future. Iran, Iraq, Saudi Arabia, and Israel all demonstrated the highest rate of infections, acceleration, jerk, and 7-day persistence rates prompting public health leaders to increase prevention efforts.
Maystadt, Jean-François; Mueller, Valerie; Van Den Hoek, Jamon; van Weezel, Stijn. 2020
Ringler, Claudia; Rosegrant, Mark W.. Nairobi, Kenya 2020
Mondal, Md. Hossain Alam; Ringler, Claudia; Al-Riffai, Perrihan; ElDidi, Hagar; Breisinger, Clemens; Wiebelt, Manfred. 2019
Breisinger, Clemens; Mukashov, Askar; Raouf, Mariam; Wiebelt, Manfred. 2019
Reardon, Thomas; Awokuse, Titus; Haggblade, Steven; Minten, Bart; Vos, Rob. Nairobi, Kenya 2019
Africa. We examine its structure, conduct, and performance, particularly in regard to its interface with small farms.
Ulimwengu, John M.; Jenane, Chakib. Nairobi, Kenya 2019
considered by policy makers for clusters development to help Africa unleash the full potential of its agriculture sector.
Choudhury, Samira; Headey, Derek D.; Masters, William A.. 2019
Balino, Sofia; Laborde Debucquet, David; Murphy, Sophia; Parent, Marie; Smaller, Carin; Traore, Fousseini. Winnipeg, Canada 2019
in agricultural markets (see A Policy Taxonomy for Agricultural Transformation). The policy taxonomy came from an inventory of policies collected from over 250 articles and is derived from the policy framework used in Transforming Agriculture in Africa and Asia: What Are the Policy Priorities?
Conway, Gordon; Badiane, Ousmane; Glatzel, Katrin. Ithaca, NY 2019
Glatzel, Katrin; Hendriks, Sheryl. 2019
Brautigam, Deborah; Diao, Xinshen; McMillan, Margaret S.; Silver, Jed. London, UK 2019
Badiane, Ousmane. 2019
Mete, Cem; Bossavie, Laurent; Giles, John; Alderman, Harold. 2019
Jayne, Thomas S.; Benfica, Rui; Yeboah, Felix K.; Chamberlin, Jordan. 2019
Mabiso, Athur; Benfica, Rui. 2019
International Food Policy Research Institute (IFPRI). Washington, DC 2019
El-Enbaby, Hoda; Selim, Hoda. Giza, Egypt 2018
Abdelaziz, Fatma; Breisinger, Clemens. 2018
ElDidi, Hagar; Corbera, Esteve. 2017
Filipski, Mateusz J.; Aboudrare, Abdellah; Lybbert, Travis J.; Taylor, J. Edward. 2017
Alderman, Harold, ed.; Gentilini, Ugo,ed.; Yemtsov, Ruslan, ed.. Washington, D.C. 2017
Azzarri, Carlo; Haile, Beliyou. Ibadan, Nigeria 2017
Breisinger, Clemens; Ecker, Olivier; Thiele, Rainer; Wiebelt, Manfred. 2016
Mondal, Md. Hossain Alam; Hawila, Diala; Kennedy, Scott; Mezher, Toufic. 2016
Elshennawy, Abeer; Robinson, Sherman; Willenbockel, Dirk. 2016
Fofana, Ismaël; Chatti, Rim; Corong, Erwin; Bibi, Sami; Bouazouni, Omar. London, U.K. 2016
Al-Haboby, Azhr; Breisinger, Clemens; Debowicz, Dario; El-Hakim, Abdul Hussein; Ferguson, Jenna; Telleria, Roberto; van Rheenen, Teunis. 2016
Khouri, Nadim; Breisinger, Clemens; ElDidi, Hagar. Cham, Switzerland 2016
International Fund for Agricultural Development (IFAD). Rome, Italy 2016
Rosegrant, Mark W.; Magalhaes, Eduardo; Valmonte-Santos, Rowena; Mason-D’Croz, Daniel. Lowell, MA, USA 2015
Al-Riffai, Perrihan; Blohmke, Julian; Breisinger, Clemens; Wiebelt, Manfred. 2015
Wiebelt, Manfred; Al-Riffai, Perrihan; Breisinger, Clemens; Robertson, Richard D.. 2015
Margolies, Amy; Hoddinott, John F.. 2015
Breisinger, Clemens; Ecker, Olivier. 2014
Breisinger, Clemens; Ecker, Olivier; Perrihan, Al-Riffai. Berlin, Germany 2014
Al-Riffai, Perrihan; Blohmke, Julian; Breisinger, Clemens; Wiebelt, Manfred. Cairo, Egypt 2014
Fiedler, John L.; D'Agostino, Alexis; Sununtnasuk, Celeste. Arlington, VA 2014
Wiebelt, Manfred; Al-Riffai, Perrihan; Breisinger, Clemens; Robertson, Richard D.. Kiel, Germany 2014
Breisinger, Clemens; Zhu, Tingju; Al-Riffai, Perrihan; Nelson, Gerald C.; Robertson, Richard D.; Funes, José; Verner, Dorte. 2013
Al-Riffai, Perrihan; Breisinger, Clemens; Ecker, Olivier; Yu, Bingxin. Paris Cedex, France 2013
Verner, Dorte; Breisinger, Clemens. Washington, D.C. 2013
Breisinger, Clemens; Ecker, Olivier; Nelson, Gerald C.; Wiebelt, Manfred; Zhu, Tingju. Washington, D.C. 2013
Al-Riffai, Perrihan; Breisinger, Clemens; Ecker, Olivier; Funes, José; Nelson, Gerald C.; Robertson, Richard D.; Thiele, Rainer; Verner, Dorte; Wiebelt, Manfred; Zhu, Tingju. Washington, D.C. 2013
Al-Riffai, Perrihan; Breisinger, Clemens; Ecker, Olivier; Thiele, Rainer; Verner, Dorte; Wiebelt, Manfred; Zhu, Tingju. Washington, D.C. 2013
Verner, Dorte; Breisinger, Clemens. Washington, D.C. 2013
Ecker, Olivier; Breisinger, Clemens; McCool, Christen; Diao, Xinshen; Funes, José; You, Liangzhi; Yu, Bingxin. Hauppauge, NY, USA 2013
Breisinger, Clemens; Al-Riffai, Perrihan; Wiebelt, Manfred. Netherlands 2013
Wiebelt, Manfred; Breisinger, Clemens; Ecker, Olivier; Al-Riffai, Perrihan; Robertson, Richard D.; Thiele, Rainer. 2013
Magnan, Nicholas; Larson, Douglas M.; Taylor, J. Edward. 2012
Breisinger, Clemens; Ecker, Olivier; Nene, Marc; Al-Riffai, Perrihan. Washington D.C. 2012
Breisinger, Clemens; Ecker, Olivier; Thiele, Rainer; Wiebelt, Manfred. Kiel, Germany 2012