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Development interventions increasingly include women's empowerment and gender equality among their objectives, but evaluating their impact has been stymied by the lack of measures that are comparable across interventions. This paper synthesizes the findings of 11 mixed-methods impact evaluations of agricultural development projects from South Asia and sub-Saharan Africa that were part of the Gender, Agriculture, and Assets Project, Phase 2 (GAAP2). As part of GAAP2, qualitative and quantitative data were used to develop and validate the multidimensional project-level Women's Empowerment in Agriculture Index (pro-WEAI), which was used to assess the impact of GAAP2 projects on women's empowerment. This paper assesses the extent to which: (1) a two- to three-year agricultural development project can contribute to women's empowerment; and (2) a suite of methods comprising a standardized quantitative measure of women's empowerment and a set of qualitative protocols, can evaluate such impacts. Our synthesis finds that the most common positive significant impacts were on the instrumental and collective agency indicators that comprise pro-WEAI, owing to the group-based approaches used. We found few projects significantly improved intrinsic agency, even among those with explicitly stated objectives to change gender norms. Unsurprisingly, we find mixed, and mostly null impacts on aggregate pro-WEAI, with positive impacts more likely in the South Asian, rather than African, cases. Our results highlight the need for projects to design their strategies specifically for empowerment, rather than assume that projects aiming to reach and benefit women automatically empower them. Our study also shows the value of a suite of methods containing a common metric to compare empowerment impacts and qualitative protocols to understand and contextualize these impacts.
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BACKGROUND: Little is known about how the COVID-19 pandemic has affected food security and livelihoods in Sri Lanka. OBJECTIVE: This article aims to assess food insecurity, perceived effects of COVID-19, and coping mechanisms among agriculture-based households in rural Sri Lanka. METHODS: We used 2 rounds of panel data from phone surveys (n = 1057 households) conducted in 5 districts. Food insecurity (30-day recall), perceived impacts of COVID-19 (6-month recall), and coping mechanisms (6-month recall) were assessed using a household questionnaire. To assess food insecurity, we used the 8-item Food Insecurity Experience Scale. We tested for differences between T1 (baseline: December 2020-February 2021) and T2 (follow-up: July 2021-September 2021) and explored the association between food insecurity and the perceived effect of COVID-19 on income using a logistic regression model. RESULTS: Food insecurity was highly prevalent (T1: 75%, T2: 80%) but varied across districts. Most respondents were affected by COVID-19 and/or COVID-19-associated mitigation measures (T1: 84%, T2: 89%). Among affected households, commonly reported impacts included those on income (T1: 77%, T2: 76%), food costs (T1: 84%, T2: 83%), and travel (â¼90% in both rounds). Agricultural activities were also adversely affected (T1: 64%, T2: 69%). About half of COVID-19-affected households reported selling livestock or assets to meet basic needs. Households whose income was impacted by COVID-19 were more likely to be food insecure (adjusted odds ratio: 2.56, P < .001). CONCLUSIONS: Households in rural Sri Lanka experienced food insecurity and livelihood disturbances during the COVID-19 pandemic. Additional surveys are needed to assess recovery post-COVID-19 and to understand if programs that support livelihoods have been protective.
METHOD: This original article used household level survey data from 2 rounds of phone surveys conducted in 5 districts of Sri Lanka.Using a household-level questionnaire, we recorded experience of food insecurity in the last 30 days, perceived impact of COVID-19, and adopted coping mechanism in the 6 months prior to the survey.We reported statistical means and tested for differences between 2 survey rounds.We also explored association between food insecurity and the perceived effect of COVID-19 on income. RESULTS: Household-level food insecurity was highly prevalent during the pandemic.Households perceived a negative effect of the pandemic on their income and employment sources.Households whose income was impacted by the pandemic were more likely to be food insecure. CONCLUSION: Agriculture-based households in rural Sri Lanka experienced food insecurity and livelihood disturbances during the COVID-19 pandemic.Additional research is needed to assess recovery post COVID-19 and to understand whether livelihood support programs have been protective.
Plain language titleFood Insecurity and Perceived Effects of COVID-19 on Livelihoods in Rural Sri LankaPlain language summaryBackground: Sustained levels of high food insecurity are associated with a range of negative health, nutrition, and well-being effects.The COVID-19 pandemic is expected to aggravate food insecurity and worsen the livelihood situation.Little is known about how the COVID-19 pandemic affected food security and livelihoods of agriculture-based households in rural Sri Lanka.
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COVID-19 , Humanos , COVID-19/epidemiologia , Sri Lanka/epidemiologia , Pandemias , Abastecimento de Alimentos , Insegurança AlimentarRESUMO
Women play important roles at different nodes of both agricultural and off-farm value chains, but in many countries their contributions are either underestimated or limited by prevailing societal norms or gender-specific barriers. We use primary data collected in Asia (Bangladesh, Philippines) and Africa (Benin, Malawi) to examine the relationships between women's empowerment, gender equality, and participation in a variety of local agricultural value chains that comprise the food system. We find that the value chain and the specific node of engagement matter, as do other individual and household characteristics, but in different ways depending on country context. Entrepreneurship-often engaged in by wealthier households with greater ability to take risks-is not necessarily empowering for women; nor is household wealth, as proxied by their asset ownership. Increased involvement in the market is not necessarily correlated with greater gender equality. Education is positively correlated with higher empowerment of both men and women, but the strength of this association varies. Training and extension services are generally positively associated with empowerment but could also exacerbate the inequality in empowerment between men and women in the same household. All in all, culture and context determine whether participation in value chains-and which node of the value chain-is empowering. In designing food systems interventions, care should be taken to consider the social and cultural contexts in which these food systems operate, so that interventions do not exacerbate existing gender inequalities.
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Success of nutrition-sensitive agriculture programmes targeted to women may be influenced by increased demands on women's and other household members' time and by time-related trade-offs to accommodate programme participation. However, evidence of how such programmes impact time use and whether changes in time-related demands negatively influence maternal or child health and nutrition outcomes is limited. This paper examines the impact of Helen Keller International's Enhanced Homestead Food Production programme in Burkina Faso (2010-2012) on women's and men's time use and associations between changes in women's time use and maternal and child health and nutrition outcomes. We used quantitative data from a cluster-randomized controlled trial (baseline 2010, endline 2012) and qualitative data from two rounds of process evaluation (2011, 2012). Two-stage analyses were used to first assess programme impacts on women's and men's time use using difference-in-difference impact estimates and second to evaluate whether programme impacts on women's time use were associated with changes in women's and children's health and nutrition outcomes. Programme impacts were considered significant if corrected P < 0.01, and associations were considered significant if p < 0.05 and p < 0.01. Qualitative data were analysed through manual coding and by calculating the means and standard deviations for the time spent by women and men on activities in intervention and control groups. Findings show that the programme significantly increased the amount of time women spent on agriculture in the intervention compared to the control group, but this was not associated with changes in maternal or child health or nutrition outcomes. Process evaluation data supported these findings.