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• When it comes to agroforestry, the role of the head of the household in decision
making at household level has not been documented well.
• Increasingly, the traditional assumption that the senior male of the household functions
as the household head and primary decision maker is being questioned.
• Increased understanding of household level decision making in relation to tree planting
activities is needed to improve the effectiveness of agroforestry policies and projects.
Introduction
Methods
Results (continued)
• The density of trees planted was significantly associated with the decision maker on
tree planting within the household (P = 0.0062).
• The density of trees planted was lower for decision making by the household head
alone compared to decision making by the spouse and joint decision making (Figure 2).
• The best fit model showed that the density of planted trees was significantly
associated with kinship (P < 0.0001) and the decision maker on tree management
(P = 0.04).
• The density of trees planted was higher for matrilineal households than for patrilineal
households, and was highest for households where decisions on tree management were
made jointly by the household head and their spouse (Figure 3).
• Gender of the household head was not significantly associated with the density of
planted trees in any of our models.
Conclusions
• The findings of this study demonstrate that the assumption that the household head is
the sole decision maker is flawed and an oversimplification of reality.
• No clear pattern of household decision making emerged from our data on the various
agricultural activities, which indicates that decision making is a complex process and
cannot be reduced to a simple model.
• Gender of the household head and kinship affected who was the main decision maker
within the household, and this in turn affected the density of trees planted by the
household.
• Tree planting and management seem to be considered as mainly the responsibility of
men in our study areas; however, it was also clear that joint decision makers with
regards to tree planting and management were more successful in terms of the
numbers of trees planted on their land.
Acknowledgements and Contact
• This study was funded by Irish Aid and would not have been possible without supervision
and assistance of the World Agroforestry Centre (ICRAF) and University College Dublin
(UCD).
• Contact: Seline Meijer: [email protected] or
• A household survey was administered to 135
married household heads in two rural districts in
Malawi:
1. The northern district Mzimba, with mostly
patrilineal kinship, where households
reside in the village of the husband and
the husband holds the land titles.
2. The southern district Chiradzulu, with
mostly matrilineal kinship, where
households reside in the village of the
wife and the wife holds the land titles.
• Multinomial regression analyses were used to test
the association of gender and kinship with who was
the household decision maker and negative
binomial regression analyses were used to see if the
density of planted trees was associated with the
decision maker on tree planting and tree
management, kinship and gender.
1. World Agroforestry Centre (ICRAF) Southern Africa Regional Programme, PO Box 30798, Lilongwe, Malawi 2. World Agroforestry Centre (ICRAF) Vietnam, No. 8, Lot 13A, Trung Hoa Street, Yen Hoa Ward, Cau Giay District, Hanoi, Vietnam
3. UCD Forestry, Agriculture & Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland
Seline S. Meijer1,3, Delia Catacutan2, Gudeta W. Sileshi1 & Maarten Nieuwenhuis3
The role of gender in household decision making on tree planting: A case study from Malawi
Figure 1. Map of study areas in Malawi
Results
• The head of the household was most often the main decision maker for the various
agricultural activities, while joint decision making by the husband and wife was also
common (Table 1).
• Tree planting and tree management are different from other agricultural activities in
that the percentage of cases where the household head decides independently was
higher, and consequently joint decision making was lower.
• Decisions in relation to tree planting and management were made more often by the
household head in patrilineal households, whereas joint decision making was more
common in matrilineal households. In addition, decision making on tree planting was
done more often by the household head in male-headed households than in female-
headed households, where these decisions were more likely to be made jointly by the
husband and wife together.
Photo 1. Agroforestry farmer in Malawi
Table 1. Household decision making patterns for various agricultural activities
Figure 2. The density of planted trees for household
decision maker on tree planting and kinship Figure 3. The density of planted trees for household
decision maker on tree management and kinship
Photo 2. Household survey in Malawi
Activities Head (%) Spouse (%) Joint (%) N
Crops to plant 50.0 10.4 39.6 134
Sowing 50.4 6.7 43.0 135
Weeding 47.4 7.5 45.1 135
Fertilizer 38.8 14.2 47.0 134
Trees to plant 66.7 7.4 25.9 134
Tree management 62.7 8.2 29.1 133
Animals to rear 51.9 12.6 35.6 135
Selling farm products 40.0 17.0 43.0 135
Credit 45.2 18.5 36.3 135
Participation in meetings 54.1 0.7 45.2 135
Firewood collection 27.4 61.5 11.1 135
0
20
40
60
80
100
120
140
160
180
Head Spouse Joint
Matrilineal
Patrilineal
0
20
40
60
80
100
120
140
Head Spouse Joint
Matrilineal
Patrilineal
• This study aims to (i) identify which household
members are the decision maker(s) for
various agricultural activities including tree
planting; and (ii) evaluate the outcomes of
household decision making by the head, the
spouse, or joint decision making, in terms of
actual trees planted by farming households in two
rural districts in Malawi.
• Research and extension efforts should not
merely target the household head but should
take into consideration that decision making in
relation to farming and tree planting is
multidimensional and site-specific.
• Assumptions on headship and gender roles
need to be locally checked and validated in
order for agroforestry research, policies and
projects to be relevant and effective.