Carmen Diana Deere Gender and Assets Workshop, World Bank
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Transcript of Carmen Diana Deere Gender and Assets Workshop, World Bank
LAND OWNERSHIP AND FARM MANAGEMENT IN ECUADOR: EGALITARIAN FAMILY FARMING SYSTEMS AND GENDERED CONSTRAINTSCarmen Diana Deere Gender and Assets Workshop, World Bank Jennifer Twyman June 14, 2012
Objective Determine if female landowners are also the farm
managers. Not typically addressed, but… Assumed that owners and managers are the same.
Research Questions: Is the form of land ownership (individual vs. joint) related
to whether women participate in decision-making? What other factors are associated with women landowners’
participation in decisions regarding their own plots?
Land Ownership & Farm Management: Honduras & Nicaragua
Nicaragua
Honduras
Women as principal ag decision-maker
8.8% 8.7%
Women have land rights
21% 13.9%
Issues Definitions
Principal decision-maker
Land rights Unit of analysis
Household, farm, parcel
Percent of Households reporting…
Source: Deere, Alvarado & Twyman 2012
Data: 2010 Ecuador Household Asset Survey (n=2,892)
Interviewed husband & wife together when possible
Household member registry
Assets inventory Household level
characteristics and experiences
Interviewed husband and wife separately
Participation in decisions Financial assets Marital & inheritance
regimes—legal knowledge
Household Questionnaire Individual Questionnaire
Data: Form of Ownership 12.4% of
households reported owning land 513 parcels
Form of Ownership % of
parcelsIndividual man 29.0Individual woman
28.1
Joint by couple 34.4Other joint 8.6Total 100.0
Data: Agricultural Decision Questions Who in the
household made the decision on what to plant?
Who made the decision on what inputs to use?
If some of the harvest was sold, who made the decision on how much to sell?
Who decided how to spend the money generated from the sale?
Data: Sample Size & Cultivation Decision
Partnered women 228 parcels
Owned by women and
A household member works land
Ind. Owner
Jt. Owner
Total
Alone 47% 12% 18%Joint 26% 66% 60%None 27% 22% 22%Total 100%
(n = 35)
100%(n =
193)
100%(n = 228)
Women’s Responses Woman’s Participation in the Cultivation Decision
Models Modeled each
decision separately Binary dependent
variable logistic regression models Wife participates= 1 Otherwise = 0
Key Variables of interest: Form of Land
Ownership (individual v. joint)
Wife’s share of couple’s wealth
Off-farm employment Fieldwork
Results—Form of Land Ownership
Woman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Joint Owner (base: individual owner)
1.35*(0.720)
0.93 (0.778)
-0.627 (1.548)
-0.503 (2.330)
Women who are joint owners are more likely than individual owners to participate in the decision about what to plant. (Odds ratio: 3.85)
Results—Wife’s share of couple’s wealthWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Wife’s share of couple’s wealth
-4.596(4.094)
-7.999*(4.698)
-3.604(5.742)
-359.189(219.000)
Wife’s share squared
3.841(3.753)
7.859*(4.483)
6.273(6.374)
441.883*(260.764)
How wife’s share and odds of wife participating in input use decision
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 100.5
11.5
22.5
33.5
44.5
Wife’s share of wealth
Odd
s of
wife
par
tic-
ipat
ing
in d
ecis
ion Min Odds (0.51),
wife’s share = 0.51
How wife’s share and odds of wife participating in input use decision
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 100.5
11.5
22.5
33.5
44.5
Wife’s share of wealth
Odd
s of
wife
par
tic-
ipat
ing
in d
ecis
ion Min Odds (0.51),
wife’s share = 0.51
Results—Off-farm EmploymentWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Wife works off-farm
0.285(0.559)
0.354(0.637)
1.412(0.946)
-2.502(1.726)
Husband works off-
0.278(0.524)
0.303(0.540)
1.309(0.924)
3.132(2.309) Off-farm employment is not statistically significant; it is not
related to wife’s participation in agricultural decision-making.
Results—FieldworkWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Wife does fieldwork
3.849***(0.560)
3.277***(0.649)
3.763***(0.850)
1.491(1.304)
Husband fieldwork
-1.969*(1.071)
-2.049*(1.114)
2.000(2.02)
2.745(3.514)
Wives who participate in fieldwork on the parcel are more likely to participate in the decision-making than wives who do not do fieldwork.
If the husband participates in fieldwork, women are less likely to participate in the decision-making than when the husband does not do fieldwork.
Results—Other Variables
Variables:What to Cultivate
Input Use
How much to
sell
How to spend
proceedsParcel size (ha)Wife’s ageAge Difference +Wife’s edu +Edu differenceConsensual Union -Children under 6 +Rural (n/a)CoastIndigenous
Results—Model StatisticsWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Number of Cases (N) 228 164 115 115Likelihood Ratio Chi-Square (df)
130.49 (17)***
95.98 (17)***
74.96 (17)***
39.10 (16)***
Pseudo R2 0.497 0.453 0.530 0.575
Conclusions Majority of women landowners in Ecuador
participate in the agricultural decisions Participation in fieldwork is highly correlated with
women’s participation in decision-making Positively related to women’s participation in fieldwork Negatively related to men’s participation in fieldwork
No correlation between off-farm work and women’s participation in agricultural decision-making
Conclusions Joint land owners more likely than individual owners to participate in
cultivation decision. Important to exert her land rights if less secure than individual ownership?
Wife’s share of couple’s wealth was negatively related to her participation in input decision Is she choosing in which decisions to participate? Does not choose
agriculture. Future work
Do same analysis with men’s responses—can examine women who own jointly in comparison to wives who do not own land
Explore the relationship between wife’s share of wealth and agricultural decision-making
Thank You!
Who are the farmers? Household head
What about women within dual/male-headed households?
Landholder Makes most decisions Best informed
Keeps revenue from crops
Various people within the household?
Gender Analyses Productivity
(and/or efficiency) Typically by plot Sometimes by
head of household
Does type of decision matter? Gender roles & responsibilities
Size of landholdings? Women participate more on
small farms? Important to ask about
specific decisions, o.w. typically response is male household head.
Regional differences in women’s participation
Data: Input Use Decision
Ind. Owner
Jt. Owner
Total
Alone 45% 18% 23%Joint 25% 54% 48%
None 30% 28% 29%Total 100% 100% 100%
Women’s Participation in Input Use Decision
n = 164
Data: Selling & Spending Decisions
Ind. Owner
Jt. Owner
Total
Alone 59% 8% 15%Joint 22% 67% 61%
None 19% 25% 24%Total 100% 100% 100%
Ind. Owner
Jt. Owner
Total
Alone 67% 16% 23%Joint 26% 78% 71%None 7% 6% 6%Total 100% 100% 100%
Women’s Participation in Selling Decision
Woman’s Participation in Spending Decision
n = 115
Explanatory VariablesVariable Mean Std.
Dev.Median Range
Size (ha) 6.9 49.9 0.35 0 – 710Wife’s share 0.51 0.19 0.5 0.01 –
0.999Wife’s age 52 12.7 53 23 – 82Age Difference 4.3 5.4 3 -7 – 29Wife’s Yrs. Schooling
4.8 4.0 6 0 – 18
Edu. Diff. 1 3.4 0 -12 – 12
Descriptive Stats—Continuous Variables
Explanatory Variables
Variable %Joint owner (ind.) 85Consensual union (married)
8
Children under 6 32Rural 85Coast 17
Variable %Indigenous 19Wife works off-farm 31Husband works off-farm 52Wife does fieldwork 72Husband does fieldwork 87
Descriptive Stats—Categorical Variables
How wife’s share and odds of wife participating in cultivation decision
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10
10
20
30
40
50
60
Wife’s share of wealth
Odd
s of
wom
an p
arti
c-ip
atin
g in
cul
tiva
tion
de
cisi
onMin Odds (12.5), wife’s share = 0.59
Results—AgeWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Wife’s Age0.022(0.025)
-0.006(0.028)
-0.001(0.040)
0.099(0.103)
Age Difference (husband – wife)
-0.038(0.048)
-0.067(0.053)
-0.053(0.068)
0.570*(0.338)
Results—EducationWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Wife’s Years of Schooling
0.055(0.084)
0.014(0.085)
-0.009(0.120)
0.567*(0.333)
Schooling Difference (husband – wife)
0.026(0.085)
-0.014(0.082)
-0.044(0.133)
0.398(0.308)
Results—Type of RelationshipWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Consensual Union (Marriage)
1.400(1.001)
1.421(0.937)
-2.709*(1.532)
-4.636(2.910)
Results—Children Under 6 in HouseholdWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Children under 6
1.608***(0.614)
0.723(0.638)
1.146(0.895)
2.400(2.259)
Results—LocationWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Rural (Urban)-0.517(0.763)
0.051(0.779)
2.027(1.301) -
Coast (Sierra)-0.845(0.671)
-1.908(0.730)
-1.463(0.993)
-1.820(1.863)
Results—EthnicityWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Coefficient--β
(Std. Error)Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Coefficient--β(Std. Error)
Indigenous (Other ethnicities)
0.673(0.795)
0.791(0.798)
-1.485(1.200)
-0.097(2.337)
Results—Model StatisticsWoman’s participation in the decision about…
What to Cultivate Input Use
How much to sell
How to spend proceeds
Number of cases (N) 228 164 115 115Likelihood ratio chi-square (df)
130.49 (17)***
95.98 (17)***
74.96 (17)*** 39.10 (16)***
Pseudo R2 0.497 0.453 0.530 0.575