AFRICA AGRICULTURE STATUS REPORT 2016

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Aid (ODA) Disbursements to Countries and Regions Country Name 2006 2007 2008 2009 2010 2011 2012 2013 2014 Angola 48.0 105.0 218.6 141.1 151.6 118.1 133.0 143.7 92.4 Benin 228.6 238.2 305.1 325.7 340.4 423.9 259.8 254.0 252.5 Botswana 36.3 63.6 682.8 223.4 103.4 88.4 62.4 90.1 62.4 Burkina Faso 385.9 412.4 475.3 453.0 440.8 450.8 522.2 526.0 562.5 Burundi 222.7 202.1 255.2 264.0 282.1 268.8 224.7 248.6 216.0 Cabo Verde 98.7 114.2 162.7 161.9 247.6 220.0 218.4 217.5 179.9 Cameroon 1505.7 1697.3 298.7 267.9 267.1 326.4 257.5 361.7 446.5 Central African Republic 65.3 118.0 128.5 98.6 112.8 108.4 73.3 112.4 281.1 Chad 152.5 227.4 277.5 355.5 289.7 245.6 245.6 218.7 158.3 Comoros 19.9 19.6 20.8 28.1 22.4 28.3 31.6 38.6 30.6 Congo 169.4 48.8 382.6 226.3 1219.0 176.2 48.9 77.9 48.8 Côte d’Ivoire 199.9 112.4 200.2 1721.1 437.3 721.6 2101.7 723.3 245.0 Democratic Republic of the Congo 1501.0 789.9 986.6 1100.1 2383.7 4240.1 1654.5 1189.7 1166.4 Djibouti 90.0 76.0 66.1 97.7 97.6 88.2 85.7 76.3 82.6 Equatorial Guinea 18.9 25.8 18.5 25.1 78.7 21.6 13.4 5.7 5.1 Eritrea 63.2 46.9 52.5 43.4 36.2 33.5 15.4 14.1 15.1 Ethiopia 1027.0 1245.6 1845.1 1818.2 1856.7 1929.6 1798.5 1913.5 1914.8 Gabon 31.9 33.6 37.6 52.5 83.8 62.3 60.9 74.9 99.5 Gambia 25.2 33.2 27.9 21.9 33.1 36.0 30.5 33.5 22.0 Ghana 595.1 710.0 726.0 820.9 897.6 898.1 844.2 733.5 605.8 Guinea 103.1 124.6 210.1 171.3 91.9 81.7 146.5 249.0 186.6 Guinea-Bissau 39.4 43.7 53.2 51.6 54.3 52.3 37.2 41.5 26.9 Kenya 776.5 827.1 954.7 1224.8 1156.7 1563.6 1668.7 2019.4 1602.2 Lesotho 38.5 62.3 66.0 70.7 93.8 143.3 152.0 185.7 49.1 Liberia 187.7 229.6 845.2 341.6 699.0 518.7 334.0 318.2 421.0 Madagascar 261.1 386.7 274.5 241.7 216.6 225.6 184.6 225.6 191.0 AFRICA AGRICULTURE STATUS REPORT 2016 275
Malawi 401.9 405.1 437.2 438.9 511.8 447.6 639.6 646.2 509.3 Mali 398.8 558.0 532.1 575.1 685.0 777.2 732.4 722.9 678.4 Mauritania 93.8 133.4 139.1 122.2 101.7 129.3 165.8 125.3 91.4 Mauritius 8.5 43.6 16.1 63.6 58.2 113.5 86.3 64.5 75.1 Mayotte 337.5 406.9 474.7 543.1 602.9 .. .. .. .. Mozambique 941.2 1077.0 1345.0 1289.3 1349.0 1691.8 1465.6 1641.8 1424.9 Namibia 108.3 146.0 153.7 249.1 213.5 235.5 190.9 199.9 180.0 Niger 235.3 232.8 269.1 255.4 375.2 297.6 413.4 335.9 315.3 Nigeria 10820.4 1385.4 637.8 688.3 845.8 852.2 894.7 1138.3 1062.1 Rwanda 321.5 375.3 452.4 520.3 547.1 589.7 424.5 567.1 474.3 Saint Helena 23.1 40.6 56.0 33.3 53.7 79.3 168.2 131.0 124.7 Sao Tome and Principe 18.3 31.1 26.4 19.7 33.0 37.9 28.5 22.4 18.0 Senegal 510.2 453.5 555.0 514.6 535.0 590.3 705.7 634.6 800.0 Seychelles 7.2 1.5 5.0 11.8 29.3 6.6 6.0 7.3 3.4 Sierra Leone 179.6 380.9 175.1 196.4 190.9 173.2 188.1 207.7 524.4 Somalia 263.3 256.8 565.9 499.8 316.7 758.5 659.4 716.7 763.6 South Africa 560.8 594.3 881.9 861.7 817.8 1026.4 683.3 1015.4 735.1 South Sudan .. .. .. .. .. 390.4 1039.3 1136.5 1629.3 Sudan 1533.3 1684.5 1823.1 1911.7 1508.7 1314.9 862.1 1073.4 533.0 Swaziland 12.3 12.5 17.8 18.5 30.8 65.9 54.7 45.5 50.7 Tanzania 995.9 1839.8 1373.3 1409.4 1654.0 1659.6 1763.6 1952.3 1454.9 Togo 54.9 65.2 176.1 362.0 252.7 327.4 114.5 82.6 79.8 Uganda 941.0 1005.4 1009.0 1016.8 1000.9 989.8 923.1 964.1 1030.0 Zambia 1116.3 714.2 705.2 702.3 597.2 701.3 651.4 729.0 774.7 Zimbabwe 200.0 371.9 532.7 620.7 505.4 547.0 671.3 541.5 538.2 South of Sahara, regional 1342.2 1340.2 2072.7 1602.8 1983.0 1917.2 2309.0 2015.8 2843.6 Source: OECD. Statistics data Aid (ODA) disbursements to countries and regions [DAC2a] 276 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
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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
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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
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 and 272: 258 AFRICA AGRICULTURE STATUS REPOR
Page 273 and 274: Technical Notes The following conve
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: Madagascar -0.0053 -0.0075 0.0073 -
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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