AFRICA AGRICULTURE STATUS REPORT 2016

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Cereal Yield (kg per hectare) Country Name 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Angola 585 627 646 492 583 446 464 653 571 629 662 552 815 889 Benin 1,069 945 1,149 1,147 1,136 1,125 1,014 1,248 1,271 1,201 1,518 1,373 1,399 1,460 Botswana 554 359 1,214 274 443 372 639 361 359 374 452 367 218 398 Burkina Faso 968 943 996 941 1,127 1,204 936 1,040 1,002 1,063 995 1,203 1,157 1,226 Burundi 1,284 1,309 1,262 1,328 1,344 1,277 1,345 1,281 1,296 1,299 1,309 1,102 1,176 1,330 Cabo Verde 637 149 379 385 243 141 110 337 231 220 178 196 182 36 Cameroon 1,709 1,683 1,620 1,563 1,727 1,811 1,676 1,678 1,765 1,669 1,681 1,597 1,652 1,623 Central African Republic 1,011 1,048 1,019 991 962 860 951 947 948 1,447 1,522 1,684 1,716 1,649 Chad 635 671 791 671 762 750 763 812 830 843 772 856 1,008 941 Comoros 1,279 1,169 1,197 1,255 1,285 1,322 1,380 1,291 1,403 1,418 1,411 1,390 1,443 1,447 Congo, Dem. Rep. 787 772 772 772 772 772 772 772 772 772 744 770 767 763 Congo, Rep. 777 778 814 822 752 778 766 771 791 780 814 848 889 910 Cote d’Ivoire 1,720 1,751 1,827 1,854 1,836 1,918 1,569 1,735 1,712 2,270 1,882 2,766 3,125 3,254 Eritrea 637 158 261 275 758 799 939 252 500 536 578 608 602 626 Ethiopia 1,198 1,354 1,123 1,163 1,361 1,563 1,439 1,450 1,683 1,833 1,962 2,047 2,193 2,325 Gabon 1,538 1,442 1,588 1,604 1,600 1,584 1,666 1,603 1,658 1,687 1,698 1,685 1,691 1,688 Gambia, The 1,283 960 1,198 1,171 1,040 1,026 800 977 1,049 1,127 869 910 959 745 Ghana 1,186 1,349 1,396 1,373 1,432 1,335 1,317 1,598 1,660 1,814 1,594 1,768 1,689 1,703 Guinea 1,483 1,487 1,485 1,491 1,496 1,502 1,514 1,464 1,469 1,459 1,532 1,513 1,508 1,543 Guinea-Bissau 1,005 1,067 1,099 1,275 1,534 1,675 1,346 1,487 1,627 1,618 1,367 1,481 1,330 1,262 Kenya 1,640 1,489 1,594 1,806 1,646 1,647 1,773 1,418 1,243 1,710 1,515 1,745 1,662 1,628 Lesotho 995 737 611 597 690 523 436 390 421 909 664 240 811 755 Liberia 1,115 917 833 917 1,290 1,262 1,449 1,553 1,184 1,179 1,183 1,164 1,174 1,077 AFRICA AGRICULTURE STATUS REPORT 2016 267
Madagascar 2,020 1,967 2,202 2,354 2,516 2,565 2,620 2,810 2,717 2,698 2,674 2,700 2,522 2,437 Malawi 1,176 1,046 1,209 1,021 778 1,445 2,467 1,599 2,124 1,907 2,094 2,087 2,069 2,188 Mali 986 792 979 864 1,090 1,125 1,101 1,398 1,675 1,716 996 1,527 1,567 1,551 Mauritania 638 1,012 805 631 844 665 709 769 717 946 1,395 1,841 1,183 1,206 Mauritius 7,204 7,763 6,556 6,474 7,540 7,793 9,454 7,541 8,000 6,833 3,902 3,390 3,219 3,765 Mozambique 880 697 818 774 529 782 885 763 884 1,028 1,041 630 670 703 Namibia 387 413 328 418 466 609 481 496 365 435 389 551 315 421 Niger 401 412 442 347 437 451 426 488 380 490 378 514 403 436 Nigeria 1,234 1,255 1,309 1,373 1,422 1,508 1,400 1,598 1,531 1,528 1,338 1,401 1,236 1,594 Rwanda 914 1,027 944 959 1,184 1,138 1,014 1,278 1,748 1,930 2,106 2,170 2,172 1,920 Sao Tome and Principe 2,174 2,107 2,131 2,146 2,385 2,455 2,308 2,154 1,539 1,333 834 706 575 471 Senegal 887 651 1,090 973 1,200 879 722 1,172 1,134 1,196 966 1,229 1,123 1,110 Seychelles .. .. .. .. .. .. .. .. .. .. .. .. .. .. Sierra Leone 998 996 1,012 1,011 1,118 1,348 1,290 1,350 1,658 1,771 1,702 1,553 1,802 1,721 Somalia 813 770 688 580 560 506 606 465 416 575 457 1,190 964 730 South Africa 2,424 2,772 2,537 2,783 3,315 3,159 2,793 4,062 4,413 4,143 4,024 3,689 3,725 4,320 South Sudan .. .. .. .. .. .. .. .. .. .. .. .. .. 1,254 Sudan 626 487 644 657 504 645 730 567 587 452 564 .. .. 683 Swaziland 1,412 986 1,013 1,237 1,307 1,414 556 989 1,077 1,196 1,335 1,330 1,365 938 Tanzania 2,047 1,903 860 1,371 1,102 1,327 1,427 1,334 1,110 1,648 1,390 1,315 1,418 1,660 Togo 1,150 1,131 1,155 1,095 1,133 1,131 1,122 1,144 1,243 1,187 1,226 1,112 866 1,146 Uganda 1,641 1,639 1,678 1,468 1,574 1,523 1,526 2,056 2,038 1,978 2,078 2,029 1,998 2,019 Zambia 1,402 1,419 1,702 1,814 1,899 1,816 2,253 2,180 2,066 2,534 2,731 2,689 2,532 2,755 Zimbabwe 1,160 547 803 1,075 588 851 653 309 424 743 794 806 724 789 Source: World Bank Development Indicators, World Bank Database 268 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
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 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: Madagascar 351.1 337.2 332.9 323.7
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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