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AFRICA’S CHANGING FARM STRUCTURE AND THE 
EMPLOYMENT CHALLENGE 
T.S. Jayne, J. Chamberlin, D. Headey, A. Chapoto, M. Muyanga, N. Sitko 
Presentation at IFPRI Headquarters, Washington, DC, September 4, 2014 
Photo: Christiaensen and Demery (2007)
Age pyramids, rural SSA, 2015 
Male 
Female 
62% < 25 years old 
[80+] 
[75-79] 
[70-74] 
[65-69] 
[60-64] 
[55-59] 
[50-54] 
[45-49] 
[40-44] 
[35-39] 
[30-34] 
[25-29] 
[20-24] 
[15-19] 
[10-14] 
[5-9] 
[0-4] 
Rural 
-10% -8% -6% -4% -2% 0% 2% 4% 6% 8% 10% 
Source: UN Pop Council, 2013
Conclusion 1 
Africa’s arable land is highly concentrated, 
both between and within countries
Nine countries contain 90% of Africa’s unutilized arable land 
Non-forested 
unutilized land1 
(million ha) 
Proportion 
Cumulative 
Proportion 
DRC 84.8 46.5% 46.5% 
Angola 18.9 10.4% 56.9% 
Congo 12.9 7.1% 63.9% 
Zambia 10.8 5.9% 69.9% 
Cameroon 10.5 5.7% 75.6% 
Mozambique 9.0 4.9% 80.5% 
CAR 7.1 3.9% 84.4% 
Gabon 6.5 3.6% 88.0% 
Sudan 5.8 3.2% 91.2% 
Rest of Africa (n=45) 8.8% 100.0%
Clustering of rural populations: Zambia
Clustering of rural populations: Kenya
Conclusion 2 
Rapid rise of medium-scale farmers (5-100 ha)
Table 2: Changes in farm structure among small- and medium-scale farmers in Zambia (2009 - 2012) 
Landholding size 
Category 
Number of farms % change 
(2001-2012) 
% of total 
farmland 
Share of 
landholding 
2001* 2009 2012 
2009 2012 
cultivated 
(2012) 
0 – 2 ha 638,118 916,787 748,771 17.3% 24.1% 16.2% 91.2% 
2 – 5 ha 159,039 366,628 418,544 163.2% 33.8% 31.7% 66.4% 
5 – 10 ha 20,832 110,436 165,129 692.6% 20.3% 25.0% 49.5% 
10 – 20 ha 2,352 35,898 53,454 2272.7% 12.3% 15.0% 36.7% 
20 – 100 ha -- 9,030 13,839 53.3%** 9.5% 12.0% 10.9% 
Total 820,341 1,438,779 1,399,737 70.6% 100.0% 100.0% 
Source: Ministry of Agriculture Crop Forecast Surveys, 2009, 2012. *2001 figures are land under cultivation. ** Growth rate 
computed from 2009-2012 only. “na” means not available.
Table 2: Changes in farm structure among small- and medium-scale farmers in Zambia (2009 - 2012) 
Landholding size 
Category 
Number of farms % change 
(2001-2012) 
% of total 
farmland 
Share of 
landholding 
2001* 2009 2012 
2009 2012 
cultivated 
(2012) 
0 – 2 ha 638,118 916,787 748,771 17.3% 24.1% 16.2% 91.2% 
2 – 5 ha 159,039 366,628 418,544 163.2% 33.8% 31.7% 66.4% 
5 – 10 ha 20,832 110,436 165,129 692.6% 20.3% 25.0% 49.5% 
10 – 20 ha 2,352 35,898 53,454 2272.7% 12.3% 15.0% 36.7% 
20 – 100 ha -- 9,030 13,839 53.3%** 9.5% 12.0% 10.9% 
Total 820,341 1,438,779 1,399,737 70.6% 100.0% 100.0% 
Source: Ministry of Agriculture Crop Forecast Surveys, 2009, 2012. *2001 figures are land under cultivation. ** Growth rate 
computed from 2009-2012 only. “na” means not available.
Table 2: Changes in farm structure among small- and medium-scale farmers in Zambia (2009 - 2012) 
Landholding size 
Category 
Number of farms % change 
(2001-2012) 
% of total 
farmland 
Share of 
landholding 
2001* 2009 2012 
2009 2012 
cultivated 
(2012) 
0 – 2 ha 638,118 916,787 748,771 17.3% 24.1% 16.2% 91.2% 
2 – 5 ha 159,039 366,628 418,544 163.2% 33.8% 31.7% 66.4% 
5 – 10 ha 20,832 110,436 165,129 692.6% 20.3% 25.0% 49.5% 
10 – 20 ha 2,352 35,898 53,454 2272.7% 12.3% 15.0% 36.7% 
20 – 100 ha -- 9,030 13,839 53.3%** 9.5% 12.0% 10.9% 
Total 820,341 1,438,779 1,399,737 70.6% 100.0% 100.0% 
Source: Ministry of Agriculture Crop Forecast Surveys, 2009, 2012. *2001 figures are land under cultivation. ** Growth rate 
computed from 2009-2012 only. “na” means not available.
Crop sales by farm size, Zambia 
12,000 
10,000 
8,000 
6,000 
4,000 
2,000 
- 
Mean sales (2011 Zmk ‘000s prices) 
Season 
0-0.99 ha 
1-1.99 ha 
2-4.99 ha 
5+ ha 
Linear (5+ ha) 
11 
Source: MACO CFS 2000/1 to 2010/11 and authors’ computations
Crop sales by farm size, Zambia 
12,000 
10,000 
8,000 
6,000 
4,000 
2,000 
- 
Mean sales (2011 Zmk ‘000s prices) 
Season 
0-0.99 ha 
1-1.99 ha 
2-4.99 ha 
5+ ha 
Linear (5+ ha) 
12 
Source: MACO CFS 2000/1 to 2010/11 and authors’ computations 
Largest 
smallholder 
farms (9%) 
consistently 
doing better
Conclusion 3 
Land controlled by MS farms exceeds that of 
LS (foreign + domestic combined)
More land cultivated/owned by MS than by large-scale, 
including LS foreign investors 
Large scale 
(foreign+domestic) 
Medium scale 
(5-100 ha) 
Million hectares 
Ghana (cultivated) 3.08 4.21 
Kenya (cultivated) 0.69 0.84 
Zambia (owned) 2.11 2.47
Characteristics of medium-scale farmers 
• In most countries: 
• Urban-based 
• Primary employment = salaried job 
• Relatively highly educated 
• Primarily men 
• In central / northern Ghana: 
• Most started out as small-scale farmers  scaled-up 
• Acquired land from customary authorities 
• Relatively land-abundant environment
Conclusion 4 
Medium-scale farmers control more land 
than small-scale farmers (0-5 ha) in Zambia 
and most likely in Ghana as well
Large scale Medium-scale 
(5-100 ha) 
Small-scale 
(0-5 ha) 
Total land 
controlled 
Million hectares 
Ghana 
(2005) 
3.08 4.21 5.08 = 12.37 
Kenya 
(2006) 
0.69 0.84 2.63 = 4.16 
Zambia 
(2012) 
2.11 2.47 2.09 = 6.67
Large 
scale 
Medium-scale 
(5-100 ha) 
Small-scale 
(0-5 ha) 
Total land 
controlled 
PAC 
remaining 
(arable + 
grasslands) 
Million hectares 
Ghana 3.08 4.21 5.08 = 12.37 3.56 
Kenya 0.69 0.84 2.63 = 4.16 1.01 
Zambia 2.11 2.47 2.09 = 6.67 3.35
Conclusion 5 
The amount of land available for cropland 
expansion (PAC) is between 20-35% of total 
stock of arable land
Conclusion 5: PAC is sizeable but small in relation to land 
already utilized in Kenya and Ghana 
PAC / already utilized + PAC 
Including forest land Excluding forest land 
Ghana (cultivated) 26.8% 22.4% 
Kenya (cultivated) 21.5% 19.5% 
Zambia (owned) 43.1% 33.4%
Conclusion 6 
Rising concentration of landholdings
Gini coefficients of landholding 
Period Movement in Gini 
coefficient: 
Ghana (cult. area) 1992  2005 0.54  0.65 
Kenya (cult. area) 1994  2006 0.51  0.55 
Zambia (landholding) 2001  2012 0.42  0.49
Conclusions 
1. Rate of growth of medium-scale farms (MS: 5-100 ha) 10 times 
faster than small-scale (SS: 0-5 ha) farms 
2. Despite major focus on large-scale “land grabs”, more farm land is 
owned by MS farmers than by LS farms 
3. Land controlled by MS farmers > that of SS farmers (0-5 ha) in at 
least 1 of the 3 countries examined (probably 2/3 by 2014) 
4. Mean farm size rising in some countries even while holdings are 
gradually shrinking for most farm hhs 
5. Rising Gini coefficients over time in landholdings 
6. Potentially available cropland as % of total utilized + unutilized 
arable land: ranges from 43.1% (Zambia) to 21.5% (Kenya)
Policy questions 
1. Africa is enjoying 5% annual ag growth rates – who is 
driving this growth? 
2. Are ag/employment/poverty reduction strategies 
compatible with countries’ land policies? 
3. Will the rate of non-farm job growth depend on how 
inclusive agricultural growth is (multipliers)? 
4. Will a commitment to inclusive agricultural 
development require area expansion and a change in 
land allocation policies?
Stylized fact: 
A stylized fact is often a broad generalization that 
summarizes some complicated statistical 
relationship, which although essentially true, may 
have inaccuracies in the detail. 
http://en.wikipedia.org/wiki/Stylized_fact

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Africa’s Changing Farm Structure and the Employment Challenge by Thomas Jayne

  • 1. AFRICA’S CHANGING FARM STRUCTURE AND THE EMPLOYMENT CHALLENGE T.S. Jayne, J. Chamberlin, D. Headey, A. Chapoto, M. Muyanga, N. Sitko Presentation at IFPRI Headquarters, Washington, DC, September 4, 2014 Photo: Christiaensen and Demery (2007)
  • 2. Age pyramids, rural SSA, 2015 Male Female 62% < 25 years old [80+] [75-79] [70-74] [65-69] [60-64] [55-59] [50-54] [45-49] [40-44] [35-39] [30-34] [25-29] [20-24] [15-19] [10-14] [5-9] [0-4] Rural -10% -8% -6% -4% -2% 0% 2% 4% 6% 8% 10% Source: UN Pop Council, 2013
  • 3. Conclusion 1 Africa’s arable land is highly concentrated, both between and within countries
  • 4. Nine countries contain 90% of Africa’s unutilized arable land Non-forested unutilized land1 (million ha) Proportion Cumulative Proportion DRC 84.8 46.5% 46.5% Angola 18.9 10.4% 56.9% Congo 12.9 7.1% 63.9% Zambia 10.8 5.9% 69.9% Cameroon 10.5 5.7% 75.6% Mozambique 9.0 4.9% 80.5% CAR 7.1 3.9% 84.4% Gabon 6.5 3.6% 88.0% Sudan 5.8 3.2% 91.2% Rest of Africa (n=45) 8.8% 100.0%
  • 5. Clustering of rural populations: Zambia
  • 6. Clustering of rural populations: Kenya
  • 7. Conclusion 2 Rapid rise of medium-scale farmers (5-100 ha)
  • 8. Table 2: Changes in farm structure among small- and medium-scale farmers in Zambia (2009 - 2012) Landholding size Category Number of farms % change (2001-2012) % of total farmland Share of landholding 2001* 2009 2012 2009 2012 cultivated (2012) 0 – 2 ha 638,118 916,787 748,771 17.3% 24.1% 16.2% 91.2% 2 – 5 ha 159,039 366,628 418,544 163.2% 33.8% 31.7% 66.4% 5 – 10 ha 20,832 110,436 165,129 692.6% 20.3% 25.0% 49.5% 10 – 20 ha 2,352 35,898 53,454 2272.7% 12.3% 15.0% 36.7% 20 – 100 ha -- 9,030 13,839 53.3%** 9.5% 12.0% 10.9% Total 820,341 1,438,779 1,399,737 70.6% 100.0% 100.0% Source: Ministry of Agriculture Crop Forecast Surveys, 2009, 2012. *2001 figures are land under cultivation. ** Growth rate computed from 2009-2012 only. “na” means not available.
  • 9. Table 2: Changes in farm structure among small- and medium-scale farmers in Zambia (2009 - 2012) Landholding size Category Number of farms % change (2001-2012) % of total farmland Share of landholding 2001* 2009 2012 2009 2012 cultivated (2012) 0 – 2 ha 638,118 916,787 748,771 17.3% 24.1% 16.2% 91.2% 2 – 5 ha 159,039 366,628 418,544 163.2% 33.8% 31.7% 66.4% 5 – 10 ha 20,832 110,436 165,129 692.6% 20.3% 25.0% 49.5% 10 – 20 ha 2,352 35,898 53,454 2272.7% 12.3% 15.0% 36.7% 20 – 100 ha -- 9,030 13,839 53.3%** 9.5% 12.0% 10.9% Total 820,341 1,438,779 1,399,737 70.6% 100.0% 100.0% Source: Ministry of Agriculture Crop Forecast Surveys, 2009, 2012. *2001 figures are land under cultivation. ** Growth rate computed from 2009-2012 only. “na” means not available.
  • 10. Table 2: Changes in farm structure among small- and medium-scale farmers in Zambia (2009 - 2012) Landholding size Category Number of farms % change (2001-2012) % of total farmland Share of landholding 2001* 2009 2012 2009 2012 cultivated (2012) 0 – 2 ha 638,118 916,787 748,771 17.3% 24.1% 16.2% 91.2% 2 – 5 ha 159,039 366,628 418,544 163.2% 33.8% 31.7% 66.4% 5 – 10 ha 20,832 110,436 165,129 692.6% 20.3% 25.0% 49.5% 10 – 20 ha 2,352 35,898 53,454 2272.7% 12.3% 15.0% 36.7% 20 – 100 ha -- 9,030 13,839 53.3%** 9.5% 12.0% 10.9% Total 820,341 1,438,779 1,399,737 70.6% 100.0% 100.0% Source: Ministry of Agriculture Crop Forecast Surveys, 2009, 2012. *2001 figures are land under cultivation. ** Growth rate computed from 2009-2012 only. “na” means not available.
  • 11. Crop sales by farm size, Zambia 12,000 10,000 8,000 6,000 4,000 2,000 - Mean sales (2011 Zmk ‘000s prices) Season 0-0.99 ha 1-1.99 ha 2-4.99 ha 5+ ha Linear (5+ ha) 11 Source: MACO CFS 2000/1 to 2010/11 and authors’ computations
  • 12. Crop sales by farm size, Zambia 12,000 10,000 8,000 6,000 4,000 2,000 - Mean sales (2011 Zmk ‘000s prices) Season 0-0.99 ha 1-1.99 ha 2-4.99 ha 5+ ha Linear (5+ ha) 12 Source: MACO CFS 2000/1 to 2010/11 and authors’ computations Largest smallholder farms (9%) consistently doing better
  • 13. Conclusion 3 Land controlled by MS farms exceeds that of LS (foreign + domestic combined)
  • 14. More land cultivated/owned by MS than by large-scale, including LS foreign investors Large scale (foreign+domestic) Medium scale (5-100 ha) Million hectares Ghana (cultivated) 3.08 4.21 Kenya (cultivated) 0.69 0.84 Zambia (owned) 2.11 2.47
  • 15. Characteristics of medium-scale farmers • In most countries: • Urban-based • Primary employment = salaried job • Relatively highly educated • Primarily men • In central / northern Ghana: • Most started out as small-scale farmers  scaled-up • Acquired land from customary authorities • Relatively land-abundant environment
  • 16. Conclusion 4 Medium-scale farmers control more land than small-scale farmers (0-5 ha) in Zambia and most likely in Ghana as well
  • 17. Large scale Medium-scale (5-100 ha) Small-scale (0-5 ha) Total land controlled Million hectares Ghana (2005) 3.08 4.21 5.08 = 12.37 Kenya (2006) 0.69 0.84 2.63 = 4.16 Zambia (2012) 2.11 2.47 2.09 = 6.67
  • 18. Large scale Medium-scale (5-100 ha) Small-scale (0-5 ha) Total land controlled PAC remaining (arable + grasslands) Million hectares Ghana 3.08 4.21 5.08 = 12.37 3.56 Kenya 0.69 0.84 2.63 = 4.16 1.01 Zambia 2.11 2.47 2.09 = 6.67 3.35
  • 19. Conclusion 5 The amount of land available for cropland expansion (PAC) is between 20-35% of total stock of arable land
  • 20. Conclusion 5: PAC is sizeable but small in relation to land already utilized in Kenya and Ghana PAC / already utilized + PAC Including forest land Excluding forest land Ghana (cultivated) 26.8% 22.4% Kenya (cultivated) 21.5% 19.5% Zambia (owned) 43.1% 33.4%
  • 21. Conclusion 6 Rising concentration of landholdings
  • 22. Gini coefficients of landholding Period Movement in Gini coefficient: Ghana (cult. area) 1992  2005 0.54  0.65 Kenya (cult. area) 1994  2006 0.51  0.55 Zambia (landholding) 2001  2012 0.42  0.49
  • 23. Conclusions 1. Rate of growth of medium-scale farms (MS: 5-100 ha) 10 times faster than small-scale (SS: 0-5 ha) farms 2. Despite major focus on large-scale “land grabs”, more farm land is owned by MS farmers than by LS farms 3. Land controlled by MS farmers > that of SS farmers (0-5 ha) in at least 1 of the 3 countries examined (probably 2/3 by 2014) 4. Mean farm size rising in some countries even while holdings are gradually shrinking for most farm hhs 5. Rising Gini coefficients over time in landholdings 6. Potentially available cropland as % of total utilized + unutilized arable land: ranges from 43.1% (Zambia) to 21.5% (Kenya)
  • 24. Policy questions 1. Africa is enjoying 5% annual ag growth rates – who is driving this growth? 2. Are ag/employment/poverty reduction strategies compatible with countries’ land policies? 3. Will the rate of non-farm job growth depend on how inclusive agricultural growth is (multipliers)? 4. Will a commitment to inclusive agricultural development require area expansion and a change in land allocation policies?
  • 25. Stylized fact: A stylized fact is often a broad generalization that summarizes some complicated statistical relationship, which although essentially true, may have inaccuracies in the detail. http://en.wikipedia.org/wiki/Stylized_fact