How Does Rising Rural Population Density Affect Smallholder Agriculture? Milu Muyanga

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HOW DOES RISING RURAL POPULATION DENSITY AFFECT SMALLHOLDER AGRICULTURE? EVIDENCE FROM ETHIOPIA, KENYA & MALAWI Milu Muyanga, J. Ricker-Gilbert , D. Headey, A. L. Josephson, T.S. Jayne Photo: Christiaensen and Demery (2007) Photo: Christiaensen and Demery (2007) Presentation at the Food Seminar at IFPRI, September 4, 2014, IFPRI Headquarters , Washington DC, USA 10
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Policy Seminar “Boserup and Beyond Mounting Land Pressures & Development Strategies in Africa” at IFPRI on 4 September 2014. Presentation by Milu Muyanga, Assistant Professor, International Development Agricultural, Food, and Resource Economics, Michigan State University.

Transcript of How Does Rising Rural Population Density Affect Smallholder Agriculture? Milu Muyanga

Page 1: How Does Rising Rural Population Density Affect Smallholder Agriculture? Milu Muyanga

HOW DOES RISING RURAL POPULATION DENSITY AFFECT SMALLHOLDER AGRICULTURE?

EVIDENCE FROM ETHIOPIA, KENYA & MALAWI

Milu Muyanga, J. Ricker-Gilbert , D. Headey, A. L. Josephson, T.S. Jayne

Photo: Christiaensen and Demery (2007)

Photo: Christiaensen and Demery (2007)

Presentation at the Food Seminar at IFPRI, September 4, 2014, IFPRI Headquarters , Washington DC, USA

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Motivation• Population densities in many sub-Saharan Africa

are much higher than they were two decades ago

• The rising rural population densities are profoundly

affecting farming systems

• Diminishing land sizes and limited scope of accessing land

• Limited off-farm opportunities

• Are increasing population densities inducing

innovations aimed at intensifying the use of land?

• Consistent with the induced innovation theories of Boserup

(1965) and Ruttan and Hayami (1971)

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Total rural population projections

Source: UN Pop Council, 2013

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Local analysts point to historical

land injustices as the main cause

of the 2007 post-election violence

and the 2014 killings in the coastal

region of Kenya

Increasing land conflicts-Newspaper Headlines

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Effects of population density on smallholder-intensification– analytical

framework

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Data sources• Ethiopia: 6 waves of household-level data from the Ethiopian

Rural Household Surveys covering 1293 households

• Kenya: 5 waves of panel survey data on 1,146 farm

households

• Malawi: 3 waves of rural farm households; only 1375

households were re-interviewed in the last wave

• Geographic Information Systems: Population and land

estimates data came from two GIS databases:

• Global Rural–Urban Mapping Project (GRUMP)

• GlobCover 2009

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RESULTS: ETHIOPIA

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Household landholding /adult equivalent by population density

Kilogram of fertilizer used/ha, by population density

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RESULTS: KENYA 3

Figure 1: Fertilizer quantities applied per hectare cultivated 5

01

00

15

02

00

25

0

kg

s/h

a

25% 50% 75% 95%0 250 500 750 1000

persons/sq km

actual simulated

Figure 2: Total value of cash expenditures per ha cultivated

81

01

21

41

61

8

'00

0K

Sh

/ha

25% 50% 75% 95%0 250 500 750 1000

persons/sq km

actual simulated

Figure 4: Net crop income per hectare cultivated

20

40

60

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'00

0K

Sh

25% 50% 75% 95%0 250 500 750 1000

persons/sq km

actual simulated

Figure 5: Net crop income per family labor (resident adults)

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25

30

35

'00

0K

Sh

25% 50% 75% 95%0 250 500 750 1000

persons/sq km

actual simulated

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RESULTS: MALAWI 2

Fertilizer kg/ha, by pop. den. Gross value of crop output/ha, by pop. den.

25th percentile

50th percentile

75th percentile

99th percentile010

00

20

00

30

00

40

00

farm

inco

me p

er

adu

lt eq

uiv

ale

nts

0 200 400 600population / square km of land

Farm Income per Adult Equivalent, by pop. den. Value of assets/adult equivalent, by pop. den.

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Summary of findings

• Rural population density is projected to increase by 48% in

sub-Saharan Africa in the next 35 years

• Population density is endogenous- what are the drivers of

population density in sub-Saharan Africa?

• Rising population densities are influencing household behavior

and farming systems in sub-Saharan Africa

• Intensification is not possible beyond some population density

thresholds

• 13% of the rural population in Kenya live in areas beyond the

thresholds

• Our results do not explain the reasons for the decline in

agricultural intensification

• Signs of unsustainable agricultural intensification– reduced fallows;

soil mining, etc.

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Acknowledgements

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