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Soybean Technology Uptake, Constraints and Intrahousehold Dynamics MRA 8 Team Jill L. Findeis Nina Furstenau David O’Brien Fabio Chaddad Chris Fulcher / CARES Fridah Mubichi IIAM Mozambique Maria da Luz Quinhentos Anacleta Mugabe Magalhaes Miguel

Soybean Technology Uptake, Constraints and Intrahousehold ...soybeaninnovationlab.illinois.edu/sites/soybeaninnovationlab.illinois... · Soybean Technology Uptake, Constraints and

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Soybean Technology Uptake, Constraints and Intrahousehold Dynamics

MRA 8 Team

Jill L. Findeis Nina Furstenau David O’BrienFabio ChaddadChris Fulcher / CARESFridah MubichiIIAM Mozambique Maria da Luz QuinhentosAnacleta MugabeMagalhaes Miguel

The ChallengeFAO Workshop S

Plenary speaker: Michael Lipton: Poverty Research Unity, University of Sussex; All Souls College, Oxford; IFPRI, Washington, DC.

- How do women farmers behave? What do women farmers prefer? What do women farmers THINK?

- Discussion on the inevitability that as a farm enterprise is/becomes more profitable, male farmers will take over….

Village sites, Mozambique

Manica Province – Chimoio, IIAM Sussundenga Station, 3 villages

Zambezia Province – 3 villages

Tete Province (Angonia) – 3 villages

-----------------------------------------------Niassa/Nyassa Province – 2 villages (Lichinga)

Chokwe Station; Nampula IIAM/IITA

Village sites

Google Earth images of Villages 7, 8 & 9, Northeast Mozambique

Survey strategy - random sample - landscape & quadrant maps - male and female surveyed, separately- female enumerator interviews female- male enumerator interviews male

Work

• WEAI+ Mozambique – baseline resultsCompare to 2008-09 baseline survey conducted in 2 villages in each of 4 regions

• Soy Uptake and Network Survey (panel data) • Network Pilot – Mubichi and O’Brien • Community Commons Platform / Mapping • Training - NARS support • Tasty Mozambique!

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Den

sity

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cros

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e gr

oup

0 20 40 60 80 100Reported age of household members

Density kdensity cb

Based on survey data from Mozambique WEAI+ 2014-15Reported ages of all household members in surveyed households

WEAI+ Demographics

Age (years)Male(n=412)

Female(n=471)

Total(n=883)

16-25 13.66% 21.91% 18.07%

26-35 29.02 24.26 26.48

36-45 22.68 23.4 23.07

46-65 25.61 21.49 23.41

65+ 9.02 8.94 8.98

More Demographics

010203040506070

< primaryschool

primaryschool

secondaryschool

college,vocational,technical

Male Female

Respondent’s highest level of education

Male Female

Speaks Portuguese 66.26% 38.30%Writes Portuguese 72.81 44.10

CentralChimanhica – 25.95% F, 20.89% MChute – 56.33% F, 59.49% MShona – 16.46% F, 17.72% M

Northeast Lomue – 65.91% F, 70.87% MMacua – 33.33% F, 29.13% M

Northwest Chechewa – 91.80% F, 30.51% MLomue – 0 F, 22.03% MChute – 0 F, 22.76% MMacua – 0 F, 8.96% MChimanica – 0 F, 7.99% M

Language spoken at home

Hunger scale, Mozambique

How often HH didn't have food in past 4 weeks

Central –(n=316)

Northeast -(n=258)

Northwest -(n=274)

Never 65.19 66.67 39.05

1-2 times 27.22 26.36 36.5

3-10 times 7.28 6.98 22.63

10 + times 0.32 0 1.82

Total 100 100 100

Access to productive assets

Form of ‘ownership’

Female Male

Joint ‘ownership’

68% 70%

Self ‘ownership’

19 22

Spouse ‘ownership’

11 8

Decision to sell agricultural land for farming? 2/3 make decision jointly

Access to credit – lending sources (12 mo.)

87888990919293949596

96 96

93

90

92 92

91 91

Males Females

Access to seed (ever received) - 2008-09

Alternative sources M-Niassa

M-Tete M-Zambezia

F-N F-T F-Z

Village friends & neighbors

20.5 40.0 41.3 23.1 22.4 48.0

Outside friends 12.8 43.9 15.2 13.5 15.5 30.0

Relatives – all 28.2 39.0 30.4 23.1 19.0 38.0

Relatives – village 15.4 34.1 23.9 21.6 10.3 28.0

Traders / in market 17.9 30.0 8.7 15.1 12.1 2.0

Free? Purchased improved seed? – 2014-15

0 10 20 30 40 50

Relative - villageRelative - other village

Relative - urbanFriend - village

Friends - another villageFriend - urban

Farmer's associationLocal market

AggregatorSeed company

NGO

Male Female

FREE SEED? NGO F = 10%, M = 15%Ag Extension Agent F = 15%, M = 20%

Agricultural extension experience

0%

20%

40%

60%

80%

Female Male

% last year

Yes No

N=861 Females Males Total

Not comfortable at all

19.91% 2.94% 13.36%

Great difficulty

36.76 17.08 27.53

Little difficulty

16.63 19.31 17.89

Fairly difficult

14.22 22.52 18.12

Very comfortable

12.47 35.15 23.11Seed were distributed by agents –to both men and women .

Access to soybean seed

Survey questions on access to soybeansMale Female

Yes No Yes No

Have you yourself grown soybean? 47% 53% 46% 54%

Would you have to be shown how to growbefore trying soybean? 16 84 23 77

Would you have to see others growsoybean successfully before trying it? 55 45 32 68

Does any group give out free soybean seedlocally? 34 66 39 61

Do you know where to buy soybean seedthat grows well in your area? 34 66 30 70

Do you know where to buy bean seed thatgrows well in your area? 61 39 57 43

Regional variations in female labor allocation to soybean field prep

0

10

20

30

40

50

60

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Female – Field preparation for soy

Central Northeast Northwest

Regional variations in male labor allocation to soybean field prep

0

5

10

15

20

25

30

35

40

45

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Male – Field preparation for soy

Central Northeast Northwest

Regional variations in female labor allocation to soybean planting

0

5

10

15

20

25

30

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Female – Soy planting

Central Northeast Northwest

Regional variations in male labor allocation to planting soybeans

0

10

20

30

40

50

60

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Male – Soy planting

Central Northeast Northwest

Percent of males receiving income - by month

0

5

10

15

20

25

30

35

40

45

50

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Soybean Maize Other legumes Other crops

Decision-making in food crop farming

How much input did you have in making decisions in food crop farming Male Female Total

No input 0.74% 2.83% 1.84%

Few decisions 3.19 12.83 8.29

Some decisions 18.38 24.57 21.66

Most decisions 35.78 42.83 39.52

All decisions 41.91 16.74 28.57

No decision made 0 0.22 0.12

Total 100 100 100

Challenge: Presence and effects of shocks

- During the first quarter of 2015, excessive rains caused substantial damages and displacements of populations in the Central and Northern Provinces of Mozambique, namely Zambézia, Tete, … Nampula….

- …. the Central provinces of Sofalaand Manica and the Southern provinces … experience persistent lack of rain at the most critical period of the agriculture season causing extensive crop failure. (World Food Program, 2015)

Challenge 2 - Few inputs

80

82

84

86

88

90

92

94

Inoculum?P fertilizer?

Male (% no) Female (% no)

- 3 of 4 farmers using inoculum received from Extension

Challenge 2 - Few inputs

80

82

84

86

88

90

92

94

Inoculum?P fertilizer?

Male (% no) Female (% no)

- 3 of 4 farmers using inoculum received from Extension

Current work• Development of Soy Uptake and Network

Survey (SUNS) – Wave I – Michael Lipton• Decision to use Nexus system / Qualtrics• October 2015 interviews and testing of

Nexus system• Network Pilot

Picture 12: first image shows tethering of tablet with a hotspot created using Vodacom cell service. Following image illustrates Vodacom and MCel sim cards sizes. Last image shows MCel sim card and Movitel stick (internet adopter)

Current work

• Community Commons Platform - CARES• Community Commons App•

Current work• March 2015 focus groups / AdZou campaign design

‘Strength that Grows’

• The Food Project (Tasty Mozambique!)

Thank you.

SOY