AFRICA AGRICULTURE STATUS REPORT 2016

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Agricultural Data AFRICA AGRICULTURE STATUS REPORT 2016 259
Technical Notes The following conventions are used in the Tables: 0 or 0.0 = nil or negligible .. or () data not available or missing Sources of data as follows: Rural Population (% of total population) Source: Source: World Development Indicators, World Bank Aid (ODA) Disbursements to Countries and Regions Source: OECD Statistics data GDP per capita Growth (Annual %) Source: World Development Indicators, World Bank Internet Users (per 100 people) Source: World Development Indicators, World Bank Agriculture Value Added Per Worker (Constant 2010 US$) Source: World Development Indicators, World Bank Cereal yield (kg per hectare) Source: World Development Indicators, World Bank Crop Production Index (2004-2006 = 100) Source: World Development Indicators, World Bank Fertilizer Consumption (kg per hectare of arable land) Source: World Development Indicators, World Bank Total Factor Productivity Source: Economic Research, Washington D.C. Cell Phone Subscriptions (per 100 People) Source: World Development Indicators, World Bank Net ODA received per capita (current US$) Source: World Development Indicators, World Bank Spending, Total (As a Share of Agriculture GDP, %) Source: ASTI (Agricultural Science and Technology Indicators) http://www.asti.cgiar.org/ Government Agriculture Expenditure (% Share of Total Expenditure) Source: Regional Strategic Analysis and Knowledge Support System (ReSAKSS) 260 AFRICA AGRICULTURE STATUS REPORT 2016
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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
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Differences in the African pattern
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Table 3.5: Trends in types of emplo
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that would likely affect the contri
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c. Concentration of farm structure
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a. Invest in education to upgrade t
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These could include policy measures
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References African Center for Econo
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Giller, K. E., Rowe, E. C., de Ridd
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Ndung’u, N. S. (2016). Viewpoint:
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World Bank. (2015). World developme
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KEY MESSAGES ONE Although sustainab
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BOX 4.1: Components of Sustainable
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of the world. These authors also re
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Further, Locatelli et al. (2008) ha
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Climate and Weather Variability The
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Resilience of livelihoods is determ
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While acknowledging successes of SI
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Entry Points For Sustainable Intens
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BOX 4.4: The CSA Compendium: A scie
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Successful interventions include fo
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Open data combined with agricultura
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According to Tshibaka (2014), evide
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References Abdulai, A., & Delgado,
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Enfors, E. (2013). Social-ecologica
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Lipper, L., Thornton, P., Campbell,
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Toulmin, C., Leonard, R., Brock, K.
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KEY MESSAGES ONE In SSA, sustainabl
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Figure 5.1: Poverty traps framework
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Cereal Yield/Kilogram Per Hectare F
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Table 5.2: Correlation between fact
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Table 5.3: Farmer use of improved i
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Figure 5.9: Agricultural research s
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association is found for cereal out
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AGRA’s Experience The observation
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Increase access to affordable crop
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Sheahan, M., & Barrett, C. B. (2014
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KEY MESSAGES ONE Smallholder farmer
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transformation in Africa. The achie
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from agribusiness actors to smallho
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season, maize prices could be 270 p
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critical challenges and the solutio
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Limited access and high cost of acc
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of onion production in northern Gha
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Conclusions This chapter presents t
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Collins, D., Morduch, ,. J., Ruther
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Minot, N. (2014). Food price volati
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Weatherspoon, D. D., & Reardon, T.
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KEY MESSAGES ONE Access to finance
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esources into agriculture. This in
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Table 7.1: Indicative investments t
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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
Page 221 and 222: other supportive partners (tertiary
Page 223 and 224: Table 9.2: SSA AR4D funding through
Page 225 and 226: (e.g., NARIs, universities, NGOs, F
Page 227 and 228: Table 9.3: Number of extension agen
Page 229 and 230: the whole farm whereas the field sc
Page 231 and 232: approach, organizational or system
Page 233 and 234: CASE STUDY Regional Universities Fo
Page 235 and 236: CASE STUDY African Network for Agri
Page 237 and 238: CASE STUDY FAO—Tropical Agricultu
Page 239 and 240: Bizimana, C. (2014). Rwanda’s Ach
Page 241 and 242: Rwanda. Retrieved from http://www.m
Page 243 and 244: World Bank. (2007). Project Apprais
Page 245 and 246: KEY MESSAGES ONE The poverty rate a
Page 247 and 248: Table 10.1: Number of undernourishe
Page 249 and 250: Figure 10.6: Stunting in children u
Page 251 and 252: Why single out nutrition matters? A
Page 253 and 254: BOX 10.1: The 7 Malabo Declaration
Page 255 and 256: Reducing post-harvest losses FAO es
Page 257 and 258: BOX 10.4: Growing trend towards a m
Page 259 and 260: References African Union. (2015). T
Page 261 and 262: Schmidt, R. H., & Rodrick, G. E. (2
Page 263 and 264: “Africa is simply tired of being
Page 265 and 266: 2025, tripling intra-African trade,
Page 267 and 268: towards agricultural transformation
Page 269 and 270: While agricultural research generat
Page 271: 258 AFRICA AGRICULTURE STATUS REPOR
Page 275 and 276: Madagascar 72.6 72.3 72.1 71.8 71.2
Page 277 and 278: Madagascar 2.81 -15.28 6.54 2.19 1.
Page 279 and 280: Madagascar 351.1 337.2 332.9 323.7
Page 281 and 282: Madagascar 2,020 1,967 2,202 2,354
Page 283 and 284: Madagascar 86.0 84.2 87.3 91.8 103.
Page 285 and 286: Mali .. .. 52.0 15.7 17.5 31.1 22.5
Page 287 and 288: Madagascar -0.0053 -0.0075 0.0073 -
Page 289 and 290: Malawi 401.9 405.1 437.2 438.9 511.
Page 291 and 292: Madagascar 0.2 0.3 0.4 0.5 0.6 0.6
Page 293 and 294: Madagascar 0.9 1.0 1.6 1.9 2.8 5.6
Page 295 and 296: Liberia .. .. .. .. .. .. .. .. ..
Page 297: 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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