2. Introduction
• Women are increasingly participating in
horticultural value chains.
• In developing countries, women provide 90%
of the labor for the production of horticultural
crops.
• However, women concentrate in less
profitable early value chains positions.
3. Introduction
• There is decreasing trend of women
participation along horticulture value chains
towards higher levels
• As horticultural products gets closer to sale at
market women’s involvement tends to
diminish
4. Justification of the study
• There is a need to understand factors
influencing position and low level
participation trend of women in FVVC
• This will lead to designing appropriate
interventions to empower women to attain
higher levels in FVVC and consequently
improve smallholder livelihoods and alleviate
poverty
5. Objectives of the study
• Identifying socio-economic factors
influencing position of women along fruits
and vegetables value chains in coastal
region of Tanzania
• Identifying and describing activities done
by women in FVVC
• Determining profit earned by women
relatively to men in FVVC
6. Hypotheses
• Socio-economic factors such as education
level, marital status, income level, marital
status, membership in farmers association
have no significance in influencing positioning
of women in FVVC
• There is no significance difference in income
earned between women and men from fruits
and vegetables business
7. Methods
About the study site
• Coast region with a population of 1,098,668
is one of 25 administrative areas of Tanzania
• It is located closer to the major city of Dar es
Salaam, hence very close to the growing
potential markets
• Fruits and vegetables accounts for more than
45% of the cash crops in the Coastal region
8. Sampling and data collection
• Purposive and simple random sampling
techniques were used for selection of the
representative samples from the
population.
• 250 respondents were administered with
questionnaire survey in Chalinze and
Kiwangwa in the Coast region.
9. Data analysis
• Descriptive analysis- compute frequencies,
mean and percentage
• Logistic regression: Identifying socio-
economic factors influencing position of
women in fruits and vegetables value chains
• t- test- testing significance difference in
income earned between women and men
from fruits and vegetables
10. Results
Factors influencing position of women in fruits
and vegetables value chains
Variable Coefficients Standard
Error
Significance Marginal Effect
(dy/dx)
Education level 0.3142 1.2 052 0.015 0.00718
Marital status -1.3474 1.205 163 0.264 -0.048807
Income 6.82e-07 5.01e-07 0.173 1.56e-08
Position in
household
-2.3302 1.1 103 0.036 -0.1469684
Land ownership -0.2753 0.395 304 0.486 0.0062929
Access to market
information
-2.1547 1.278858 0.092 -0.045588
Membership in
farmers’
associations
3.0007 1.234134 0.015 0.1673521
11. Participation in production activities
0
10
20
30
40
50
60
Land preparation Planting Weeding Fertilizer application Harvesting
Both Women Men Not practiced
13. Income difference between men and women
from fruits and vegetables business
Income Women Men
Mean 68 766.08 252 647.32
Std. Deviation 139 864.95 428 796.70
Minimum 4 166.67 8 500
Maximum 1 245 166.67 3 216 666.67
14. Conclusion
• The level of education, membership in
farmers association and heading household
are key socio-economic factors influencing
position of women in fruits and vegetables value
chains.
• Both men and women participate in production
activities BUT men are leading in transporting
fruits and vegetables to major town markets
• Women earn relatively low income than men
from fruits and vegetables
15. Recommendations
• We recommend empowering of women in
terms of education and skills (eg business and
entrepreneurship skills) and promote their
membership in farmers’ association to uplift
them in higher level positions in FVVC