Investigating the Gender Gap in Agricultural Productivity: Evidence from Uganda

Ali, Daniel Ali; Bowen, Derick; Deininger, Klaus; Duponchel, Marguerite

doi:10.1016/j.worlddev.2016.06.006

Cited by 82 publications

(66 citation statements)

References 25 publications

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“…Gender disparity is driven more by the endowment than the structural effect. Similar findings are reported by Gbemisola et al (2015), Ali et al (2016) and Kilic et al (2015).…”

Section: Results Of the Oaxaca Decomposition By Gender Of Groundnut Psupporting

confidence: 92%

“…Starting with the naïve regression in step (1), the gender gap between male-and femalemanaged plots in the absence of any control variables is 21.9%, which is significant. Similar gender gaps are reported in the studies of Gbemisola et al (2015) and Ali et al (2016). The gap and the statistical significance diminish as more control variables are added similar to groundnut plots.…”

Section: Ols Estimation With Fixed Effect Results For Pigeonpea Plotsupporting

confidence: 85%

“…The aggregate unexplained contribution (Eq. 7) is equal to the remaining gap once all characteristics in the decomposition are accounted for' (Ali et al 2016). The sum of these terms can be interpreted as the change in the value of output from the female-managed plot that would occur if men and women had the same returns to the coefficient vector X. Decomposition results should not be interpreted as a causal effect but can show how each variable contributes to the gender gap.…”

Section: Oaxaca-blinder Decomposition Approachmentioning

confidence: 99%

“…Notably from the findings of Gbemisola et al (2015), the gender gap in productivity within a country may differ across different regions in the country. In another empirical study conducted by Ali et al (2016), the difference in the yield between male and female cultivated plots was estimated to be 17.5%, also to the disadvantage of female managers in Uganda largely attributed to difficulty in accessing productive inputs, negligible households endowments, 'double-edged' childcare and farming responsibilities, and difficulty in accessing output markets. Nonetheless, all these early empirical studies are limited by the methodological approach, geographical data coverage and little attention given to the specificity of different farming enterprises.…”

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confidence: 99%

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Is there any gender gap in the production of legumes in Malawi? Evidence from the Oaxaca–Blinder decomposition model

Joe-Nkamuke¹,

Olagunju

Njuguna-Mungai

et al. 2019

Rev Agric Food Environ Stud

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Understanding the gender differences in agricultural productivity is crucial for formulating informed and effective policies to sustainably improve low productivity which characterises agriculture in Sub-Sahara Africa. Using a panel dataset from the ICRISAT led Tropical Legumes project III (2008-2013), we analyse the gender gap in the production of legumes in Malawi. Employing the Oaxaca-Blinder decomposition method allows decomposition of gender gap into the following: (i) the portion caused by observable differences in the factors of production (endowment effect) and (ii) the unexplained portion caused by differences in return to the same observed factors of production (structural effect). We conducted the empirical analysis separately for pigeonpea and groundnut. Our findings reveal that for groundnut cultivated plots, women are 28% less productive than men after controlling for observed factors of production; however, the gender gap estimated in the pigeonpea cultivated plots are not statistically significant. The decomposition estimates reveal that the endowment effect is more relevant than the structural effect, suggesting that access to productive inputs contributes largest to the gender gap in groundnut productivity, and if women involved had access to equal level of inputs, the gap will be reduced significantly. The variation in the findings for groundnut and pigeon plot suggests that policy orientation towards reducing gender productivity gap should be crop specific.

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“…Gender disparity is driven more by the endowment than the structural effect. Similar findings are reported by Gbemisola et al (2015), Ali et al (2016) and Kilic et al (2015).…”

Section: Results Of the Oaxaca Decomposition By Gender Of Groundnut Psupporting

confidence: 92%

Section: Ols Estimation With Fixed Effect Results For Pigeonpea Plotsupporting

confidence: 85%

Section: Oaxaca-blinder Decomposition Approachmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Is there any gender gap in the production of legumes in Malawi? Evidence from the Oaxaca–Blinder decomposition model

Joe-Nkamuke¹,

Olagunju

Njuguna-Mungai

et al. 2019

Rev Agric Food Environ Stud

View full text Add to dashboard Cite

show abstract

“…Peri-urban and even urban households owning even just a few animals or small plots of cultivatable land can produce small but valuable amounts of consumable or sellable food (Ayenew, Wurzinger, Tegegne, & Zollitsch, 2011). For these reasons, agricultural assets could provide a straightforward buffer against nutrition-related disease at the very least (Ali, Bowen, Deininger, & Duponchel, 2016;Dangour et al, 2012;Ferguson, 1992;Hadley et al, 2019;Hruschka et al, 2017;Lawson et al, 2014;Little, Mcpeak, Barrett, & Kristjanson, 2008;Popkin, 2014).…”

Section: Assessing Poverty As Predictive Of Mental Healthmentioning

confidence: 99%

Agricultural wealth better predicts mental wellbeing than market wealth among highly vulnerable households in Haiti: Evidence for the benefits of a multidimensional approach to poverty

Lachaud

Hruschka

Kaiser

et al. 2019

American J Hum Biol

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Objectives Lack of wealth (poverty) impacts almost every aspect of human biology. Accordingly, many studies include its assessment. In almost all cases, approaches to assessing poverty are based on lack of success within cash economies (eg, lack of income, employment). However, this operationalization deflects attention from alternative forms of poverty that may have the most substantial influence on human wellbeing. We test how a multidimensional measure of poverty that considers agricultural assets expands the explanatory power of the construct of household poverty by associating it with one key aspect of wellbeing: symptoms of mental health. Methods We used the case of three highly vulnerable but distinctive communities in Haiti—urban, town with a rural hinterland, and rural. Based on survey responses from adults in 4055 geographically sampled households, linear regression models were used to predict depression and anxiety symptom levels controlling for a wide range of covariates related to detailed measures of material poverty, including cash‐economy and agricultural assets, income, financial stress, and food insecurity. Results Household assets related to the cash economy were significantly associated with lower (ie, better) depression scores (−0.7, [95% CI: −1.2 to, −0.1]) but unrelated to anxiety scores (−0.3 [95% CI: −0.8 to 0.3]). Agricultural wealth was significantly—and more strongly—associated with both reductions in depression symptoms (−1.4 [95% CI: −2.2 to −0.7]) and anxiety symptoms (−1.8 [95% CI: −2.6 to −1.0]). These associations were consistent across the three sites, except in the fully urban site in Port‐au‐Prince where level of depression symptoms was not significantly associated with household agricultural wealth. Conclusions Standard measures of poverty based on success in the cash economy can mask important associations between poverty and wellbeing, in this case related to household‐level subsistence capacity and crucial food‐producing household assets.

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The heat never bothered me anyway: Gender‐specific response of agricultural labor to climatic shocks in Tanzania

Lee

Haile

Seymour

et al. 2021

Applied Eco Perspectives Pol

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Agricultural production in Africa is generally highly labor intensive with gender-specific specialization across activities. Using panel data from Tanzania, we examine the effects of heat stress (temperature above 29 C) during the maize-growing season on gender-disaggregated agricultural labor use. Results show that heat stress reduces total male family labor but does not statistically affect female family labor. Households with only female adults seem to increase their labor supply under heat stress.Given these heterogeneous effects, gender-sensitive development interventions and adaptation strategies are suggested to enhance women's adaptive capacity.

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Investigating the Gender Gap in Agricultural Productivity: Evidence from Uganda

Cited by 82 publications

References 25 publications

Is there any gender gap in the production of legumes in Malawi? Evidence from the Oaxaca–Blinder decomposition model

Is there any gender gap in the production of legumes in Malawi? Evidence from the Oaxaca–Blinder decomposition model

Agricultural wealth better predicts mental wellbeing than market wealth among highly vulnerable households in Haiti: Evidence for the benefits of a multidimensional approach to poverty

The heat never bothered me anyway: Gender‐specific response of agricultural labor to climatic shocks in Tanzania

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