AFRICA AGRICULTURE STATUS REPORT 2016

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CHAPTER 5 Agricultural Productivity through Intensification and Local Institutions AUTHORS Robert Delve Rui Benfica International Fund for Agricultural Development Boaz Blackie Keizire, Joseph Rusike, Rebbie Harawa, George Bigirwa, Fred Muhhuku, Jane Ininda, John Wakiumu Alliance for a Green Revolution in Africa AFRICA AGRICULTURE STATUS REPORT 2016 105
KEY MESSAGES ONE In SSA, sustainable intensification increases agricultural productivity quickly and helps to close yield gaps, all sufficient for generating sustainable and inclusive growth and poverty reduction. TWO Analysis of historical trends in agricultural productivity and intensification shows that, compared to other regions, SSA cereal yields, agricultural value added per worker and total factor productivity, are much lower than in Asia and Latin America. THREE Household level data for selected countries show that adoption of certified seed of improved varieties and hybrids, inorganic fertilizer and pesticides is increasing over time. Integrating these technologies generates higher payoffs for smallholder farmers. FOUR Strong policies and institutional arrangements are central to increasing agricultural productivity. They need to be prioritized and appropriately sequenced over time, and integrated across agricultural value chains. FIVE Adoption of technologies and productivity enhancements is being driven by an improved access to input and output markets, linked to increasing accessibility of rural finance. 106 AFRICA AGRICULTURE STATUS REPORT 2016
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AFRICA AGRICULTURE STATUS REPORT 20
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FOREWORD Over the last decade, mill
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ACKNOWLEDGEMENTS The Africa Agricul
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ACRONYMS Africa Lead AAS AASR AATIF
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FMARD FSN FTF GACSA GAFSP GAIN GART
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SAKSS SBCC SCARDA SCM SDG SDI SI SM
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Introduction For decades, observers
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and changing food diets associated
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Table 1.2: Population growth of sel
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Figure 1.4: Changes in annual agric
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already occurring (Headey & Jayne,
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lease of customary land without the
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Hence, the pattern of trade illustr
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Table 1.4: Changes in farm structur
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of the pathway to food and nutritio
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Jayne, T. S., Chamberlin, J., Traub
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KEY MESSAGES ONE CAADP is an unpara
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Figure 2.1.Overview of the CAADP Im
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level. The success of ReSAKSS is be
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agricultural potential, alternative
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Table 2.1: Trends in selected CAADP
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poverty fell faster during this per
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expenditure (research, extension, i
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Table 2.4. Average annual change in
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captures the individual pathways of
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MA also has to be underpinned by lo
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References African Union. (2014). M
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Meenakshi, J.V., Johnson, N.L., Man
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KEY MESSAGES ONE TWO THREE FOUR Afr
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GDP declined by 1.4 percent in 2009
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from political violence, terrorism,
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interpretation is implied, this obs
Page 67 and 68: Differences in the African pattern
Page 69 and 70: Table 3.5: Trends in types of emplo
Page 71 and 72: that would likely affect the contri
Page 73 and 74: c. Concentration of farm structure
Page 75 and 76: a. Invest in education to upgrade t
Page 77 and 78: These could include policy measures
Page 79 and 80: References African Center for Econo
Page 81 and 82: Giller, K. E., Rowe, E. C., de Ridd
Page 83 and 84: Ndung’u, N. S. (2016). Viewpoint:
Page 85 and 86: World Bank. (2015). World developme
Page 87 and 88: KEY MESSAGES ONE Although sustainab
Page 89 and 90: BOX 4.1: Components of Sustainable
Page 91 and 92: of the world. These authors also re
Page 93 and 94: Further, Locatelli et al. (2008) ha
Page 95 and 96: Climate and Weather Variability The
Page 97 and 98: Resilience of livelihoods is determ
Page 99 and 100: While acknowledging successes of SI
Page 101 and 102: Entry Points For Sustainable Intens
Page 103 and 104: BOX 4.4: The CSA Compendium: A scie
Page 105 and 106: Successful interventions include fo
Page 107 and 108: Open data combined with agricultura
Page 109 and 110: According to Tshibaka (2014), evide
Page 111 and 112: References Abdulai, A., & Delgado,
Page 113 and 114: Enfors, E. (2013). Social-ecologica
Page 115 and 116: Lipper, L., Thornton, P., Campbell,
Page 117: Toulmin, C., Leonard, R., Brock, K.
Page 121 and 122: Figure 5.1: Poverty traps framework
Page 123 and 124: Cereal Yield/Kilogram Per Hectare F
Page 125 and 126: Table 5.2: Correlation between fact
Page 127 and 128: Table 5.3: Farmer use of improved i
Page 129 and 130: Figure 5.9: Agricultural research s
Page 131 and 132: association is found for cereal out
Page 133 and 134: AGRA’s Experience The observation
Page 135 and 136: Increase access to affordable crop
Page 137 and 138: Sheahan, M., & Barrett, C. B. (2014
Page 139 and 140: KEY MESSAGES ONE Smallholder farmer
Page 141 and 142: transformation in Africa. The achie
Page 143 and 144: from agribusiness actors to smallho
Page 145 and 146: season, maize prices could be 270 p
Page 147 and 148: critical challenges and the solutio
Page 149 and 150: Limited access and high cost of acc
Page 151 and 152: of onion production in northern Gha
Page 153 and 154: Conclusions This chapter presents t
Page 155 and 156: Collins, D., Morduch, ,. J., Ruther
Page 157 and 158: Minot, N. (2014). Food price volati
Page 159 and 160: Weatherspoon, D. D., & Reardon, T.
Page 161 and 162: KEY MESSAGES ONE Access to finance
Page 163 and 164: esources into agriculture. This in
Page 165 and 166: Table 7.1: Indicative investments t
Page 167 and 168: technical knowledge about products.
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continue to experience inadequate a
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Box 7.1: GAFSP: Country Examples Rw
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Private Equity Association, total p
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drawing down assets, and 25 percent
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equires: recognition of the critica
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Policy Recommendations This review
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Meyer, R. L. (2015, March). Financi
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KEY MESSAGES ONE The African contin
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Figure 8.1: Mobile phone based serv
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high input costs, and a disconnecte
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available through less high-tech de
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Figure 8.4: Kenya leads the pack fo
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years and higher quality seeds are
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CASE STUDY FieldLook South Sudan in
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Rationale behind rapid adoption •
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CASE STUDY Eastern Africa Farmer Fe
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many others have none or have strin
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the strategic adoption of ICT with
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To address constraints to improving
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References Accenture. (2015). Digit
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Gustafson, S. (27.1.2016). The Digi
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Wolfenson K. D. (2013). Coping with
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KEY MESSAGES ONE A guided evolution
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een registered over the last decade
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the AIS paradigm at policy and prog
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Box 9.2: Rwanda - A Phoenix Rising
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other supportive partners (tertiary
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Table 9.2: SSA AR4D funding through
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(e.g., NARIs, universities, NGOs, F
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Table 9.3: Number of extension agen
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the whole farm whereas the field sc
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approach, organizational or system
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CASE STUDY Regional Universities Fo
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CASE STUDY African Network for Agri
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CASE STUDY FAO—Tropical Agricultu
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Bizimana, C. (2014). Rwanda’s Ach
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Rwanda. Retrieved from http://www.m
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World Bank. (2007). Project Apprais
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KEY MESSAGES ONE The poverty rate a
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Table 10.1: Number of undernourishe
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Figure 10.6: Stunting in children u
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Why single out nutrition matters? A
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BOX 10.1: The 7 Malabo Declaration
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Reducing post-harvest losses FAO es
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BOX 10.4: Growing trend towards a m
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References African Union. (2015). T
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Schmidt, R. H., & Rodrick, G. E. (2
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“Africa is simply tired of being
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2025, tripling intra-African trade,
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towards agricultural transformation
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While agricultural research generat
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258 AFRICA AGRICULTURE STATUS REPOR
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Technical Notes The following conve
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Madagascar 72.6 72.3 72.1 71.8 71.2
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Madagascar 2.81 -15.28 6.54 2.19 1.
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Madagascar 351.1 337.2 332.9 323.7
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Madagascar 2,020 1,967 2,202 2,354
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Madagascar 86.0 84.2 87.3 91.8 103.
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Mali .. .. 52.0 15.7 17.5 31.1 22.5
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Madagascar -0.0053 -0.0075 0.0073 -
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Malawi 401.9 405.1 437.2 438.9 511.
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Madagascar 0.2 0.3 0.4 0.5 0.6 0.6
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Madagascar 0.9 1.0 1.6 1.9 2.8 5.6
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Liberia .. .. .. .. .. .. .. .. ..
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Liberia 2.0 1.9 1.8 1.7 1.5 1.3 1.5
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AFRICA AGRICULTURE STATUS REPORT 2016

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