An approach for assessing whether agricultural projects help smallholders transition to better livelihood strategies: A Malawian case study
Timu, Anne G.; Hazell, Peter; Savastano, Sara. 2024
Food Policy
Timu, Anne G.; Hazell, Peter; Savastano, Sara. 2024
Food Policy
Abstract | View
Agricultural projects typically aim to promote the uptake of project components amongst targeted small farm populations to improve their farm productivity and welfare. While this approach can be an important first step towards improving smallholder livelihoods, it ignores alternative and often superior livelihood options that might arise within the rural transformation process, particularly in commercial agriculture and the rural nonfarm economy. We argue that the design of smallholder projects implemented within regions already undergoing a dynamic transformation and/or projects which have significant value chain components, should be broadened to assist smallholders in making successful transitions to their best livelihood options. For such projects, monitoring and evaluation activities should track livelihood transitions as well as the usual assessments of productivity and welfare outcomes. To help operationalize such an approach, we propose a typology of smallholder livelihood strategies that can track transitions over time and illustrate its use with data from the Sustainable Agricultural Production Program (SAPP), an agricultural value chain project in Malawi. Using available household panel data and quasi-experimental econometric approaches, we find that the project helped smallholders transition out of subsistence farming to market-oriented farming and helped already existing market-oriented farmers remain as such. Even though the project did not have any specific components designed to promote off-farm incomes, nevertheless, it facilitated many farm household transitions to off-farm diversified livelihoods, possibly due to spillover benefits generated within the local nonfarm economy. All SAPP facilitated transitions led to increases in household incomes. We conclude with some lessons for designing, monitoring, and the evaluation of future agricultural projects.
Revisiting development strategy under climate uncertainty: case study of Malawi
Mukashov, Askar; Thomas, Timothy; Thurlow, James. 2024
Climatic Change
Mukashov, Askar; Thomas, Timothy; Thurlow, James. 2024
Climatic Change
Abstract | View
This paper analyzes the effectiveness of agriculture-led versus non-agriculture-led development strategies under climate-induced economic uncertainty. Utilizing Malawi as a case study, we introduce the application of Stochastic Dominance (SD) analysis, a tool from decision analysis theory, and compare the two strategies in the context of weather/climate-associated economic uncertainty. Our findings suggest that an agriculture-led development strategy consistently surpasses its non-agriculture-led antagonist in poverty and undernourishment outcomes across almost all possible weather/climate scenarios. This underscores that, despite increasing exposure of the entire economy to weather/climate uncertainty, agriculture-led development remains the optimal strategy for Malawi to reduce poverty and undernourishment. The study also endorses the broader use of SD analysis in policy planning studies, promoting its potential to integrate risk and uncertainty into policymaking.
The importance and determinants of purchases in rural food consumption in Africa: implications for food security strategies
Dzanku, F.M.; Liverpool-Tasie, Saweda Lenis Onipede; Reardon, Thomas. 2024
Dzanku, F.M.; Liverpool-Tasie, Saweda Lenis Onipede; Reardon, Thomas. 2024
Abstract | View
We analyze rural households’ purchases of food (cereals and non-cereals) in Sub-Saharan Africa using nationally representative data with 65,000 observations covering 7 countries over a decade. We distinguish between three strata of countries: lower stratum in income and urbanization, middle stratum, and upper stratum. The paper breaks ground by the breadth and time length of the sample. We find that purchases form the majority of rural food consumption whether in favorable or unfavorable agroecological zones and over country and income strata and for most food products. Rural nonfarm employment (as a cash source) plays an important role in household food purchases across all study countries and food products. Policy implications include the importance of food purchase markets and supply chains to and in rural areas as well as nonfarm employment.
The effects of household income composition on food consumption in Malawi
Benfica, Rui M. S.. 2023
African Journal of Food, Agriculture, Nutrition, and Development
23(8)
Benfica, Rui M. S.. 2023
African Journal of Food, Agriculture, Nutrition, and Development
23(8)
DOI : 10.18697/ajfand.123.23745
Abstract | View
This analysis uses panel data methods to assess how food consumption and dietary diversity are affected by changes in household income composition, diversity, and liquidity in rural Malawi. Fixed-effects model estimates reveal several results. First, food consumption and dietary diversity increase with overall income, but at a decreasing rate. Second, while no relationship is found between changes in income per capita of different sources (composition effects), and food consumption per capita, there is a differentiated impact on calorie intake changes and dietary diversity outcomes. Third, overall, there is no statistically significant effect of income diversity on changes in food consumption, but a positive association is found with dietary diversity. As such, income diversity driven by crop diversification leads to greater consumption of calories from roots, pulses, and fruits; and a drop in balanced diets, while income diversification away from agriculture yields greater dietary diversity. Finally, household liquidity, incentivized by off-farm diversification through wage labor market participation and selfemployment, promotes dietary diversity via higher consumption of calories from non-staple foods, notably those dependent on market acquisitions, such as animalbased proteins, vegetables, and fruits. These results are corroborated with those from the Seemingly Unrelated Regression Model. There are several policy and programmatic implications. First, income composition, diversity and liquidity are important dimensions to consider when focusing beyond household food security. Second, efforts to promote and sustain income growth are critical for food consumption growth and dietary diversity but increases in income alone are not enough. Policies and investments that ensure a diversified portfolio of economic activities are likely to result in better consumption and dietary diversity outcomes. Promoting crop diversification at the farm level coupled with nutrition sensitive programming, including extension and crop support programs is critical to increase and sustain consumption and better dietary quality. Third, as balanced diets in the Malawian context require a combination of staple foods sourced through crop and livestock home production, including goats, poultry and small domestically raised animals and protein-rich foods typically purchased in the market, as well as a degree of liquidity achieved through increased generation of cash income. Finally, programmatic efforts are needed to reduce gender gaps in access to resources, strengthening nutrition education more broadly, and ensure availability of balanced diets in school feeding programs potentially linked through local procurement.
Nonclassical measurement error and farmers’ response to information treatment
Abay, Kibrom A.; Barrett, Christopher B.; Kilic, Talip; Moylan, Heather; Ilukor, John; Vundru, Wilbert Drazi . 2023
Journal of Development Economics
164(September 2023)
Abay, Kibrom A.; Barrett, Christopher B.; Kilic, Talip; Moylan, Heather; Ilukor, John; Vundru, Wilbert Drazi . 2023
Journal of Development Economics
164(September 2023)
DOI : 10.1016/j.jdeveco.2023.103136
Abstract | View
This paper reports on a randomized experiment conducted among Malawian agricultural households to study nonclassical measurement error (NCME) in self-reported plot area, and farmers' responses to new information — the objective plot area measure — subsequently provided to them. Farmers' pre-treatment self-reported plot areas exhibit considerable NCME. Most of the measurement error follows a regression-to-mean pattern with respect to plot area, and another 18 percent arises from asymmetric rounding to half acre increments. Randomized provision of GPS-based measures of true plot area generates four important findings. First, most treated farmers’ self-reports exhibit no reduction in NCME after the provision of true plot area measures. Second, farmers update asymmetrically in response to information, with upward corrections being far more common than downward ones even though most plot sizes were initially overestimated. Third, the magnitude of updating varies by true plot area, as well as the magnitude and direction of initial NCME. Fourth, the information treatment affects self-reported information about non-land inputs such as fertilizer and labor, indicating that the effects of measurement error and updating spillover across variables. NCME clearly carries implications for survey data collection methods, econometric inference, and the design of information-based interventions. It might also reflect behavioral anomalies that may matter for farm management practices, input allocation, agricultural productivity, and the design of effective interventions.
Women's empowerment, production choices, and crop diversity in Burkina Faso, India, Malawi, and Tanzania: A secondary analysis of cross-sectional data
Connors, Kaela; Jaacks, Lindsay M.; Awasthi, Ananya; Becker, Karoline; Kerr, Rachel Bezner; Fivian, Emily; Gelli, Aulo; Harris-Fry, Helen; Heckert, Jessica; Kadiyala, Suneetha; Martinez, Elena; Santoso, Marianne V.; Young, Sera L.; Bliznashka, Lilia. 2023
Lancet Planetary Health
7(7)
Connors, Kaela; Jaacks, Lindsay M.; Awasthi, Ananya; Becker, Karoline; Kerr, Rachel Bezner; Fivian, Emily; Gelli, Aulo; Harris-Fry, Helen; Heckert, Jessica; Kadiyala, Suneetha; Martinez, Elena; Santoso, Marianne V.; Young, Sera L.; Bliznashka, Lilia. 2023
Lancet Planetary Health
7(7)
DOI : 10.1016/S2542-5196(23)00125-0
Abstract | View
Background: Bolstering farm-level crop diversity is one strategy to strengthen food system resilience and achieve global food security. Women who live in rural areas play an essential role in food production; therefore, we aimed to assess the associations between women's empowerment and crop diversity.
Methods: In this secondary analysis of cross-sectional data, we used data from four cluster-randomised controlled trials done in Burkina Faso, India, Malawi, and Tanzania. We assessed women's empowerment using indicators from the Women's Empowerment in Agriculture Index. Farm-level crop diversity measures were the number of food crops grown, number of food groups grown, and if nutrient-dense crops were grown. We used a two-stage modelling approach. First, we analysed covariate-adjusted country-specific associations between women's empowerment and crop diversity indicators using multivariable generalised linear models. Second, we pooled country-specific associations using random-effects models.
Findings: The final analytic sample included 1735 women from Burkina Faso, 4450 women from India, 547 women from Malawi, and 574 women from Tanzania. Across all countries, compared with households in which women provided input into fewer productive decisions, households of women with greater input into productive decisions produced more food crops (mean difference 0·36 [95% CI 0·16–0·55]), a higher number of food groups (mean difference 0·16 [0·06–0·25]), and more nutrient-dense crops (percentage point difference 3 [95% CI 3–4]). Across all countries, each additional community group a woman actively participated in was associated with cultivating a higher number of food crops (mean difference 0·20 [0·04–0·35]) and a higher number of food groups (mean difference 0·11 [0·03–0·18]), but not more nutrient-dense crops. In pooled associations from Burkina Faso and India, asset ownership was associated with cultivating a higher number of food crops (mean difference 0·08 [0·04–0·12]) and a higher number of food groups (mean difference 0·05 [0·04–0·07]), but not more nutrient-dense crops.
Interpretation: Greater women's empowerment was associated with higher farm-level crop diversity among low-income agricultural households, suggesting that it could help enhance efforts to strengthen food system resilience.
Methods: In this secondary analysis of cross-sectional data, we used data from four cluster-randomised controlled trials done in Burkina Faso, India, Malawi, and Tanzania. We assessed women's empowerment using indicators from the Women's Empowerment in Agriculture Index. Farm-level crop diversity measures were the number of food crops grown, number of food groups grown, and if nutrient-dense crops were grown. We used a two-stage modelling approach. First, we analysed covariate-adjusted country-specific associations between women's empowerment and crop diversity indicators using multivariable generalised linear models. Second, we pooled country-specific associations using random-effects models.
Findings: The final analytic sample included 1735 women from Burkina Faso, 4450 women from India, 547 women from Malawi, and 574 women from Tanzania. Across all countries, compared with households in which women provided input into fewer productive decisions, households of women with greater input into productive decisions produced more food crops (mean difference 0·36 [95% CI 0·16–0·55]), a higher number of food groups (mean difference 0·16 [0·06–0·25]), and more nutrient-dense crops (percentage point difference 3 [95% CI 3–4]). Across all countries, each additional community group a woman actively participated in was associated with cultivating a higher number of food crops (mean difference 0·20 [0·04–0·35]) and a higher number of food groups (mean difference 0·11 [0·03–0·18]), but not more nutrient-dense crops. In pooled associations from Burkina Faso and India, asset ownership was associated with cultivating a higher number of food crops (mean difference 0·08 [0·04–0·12]) and a higher number of food groups (mean difference 0·05 [0·04–0·07]), but not more nutrient-dense crops.
Interpretation: Greater women's empowerment was associated with higher farm-level crop diversity among low-income agricultural households, suggesting that it could help enhance efforts to strengthen food system resilience.
Targeting hunger or votes? The political economy of humanitarian transfers in Malawi
Duchoslav, Jan; Kenamu, Edwin; Thunde, Jack. 2023
World Development
165(May 2023)
Duchoslav, Jan; Kenamu, Edwin; Thunde, Jack. 2023
World Development
165(May 2023)
DOI : 10.1016/j.worlddev.2022.106179
Abstract | View
Do electoral considerations play a role in the targeting of humanitarian transfers? We analyze the targeting of direct cash and food transfers distributed in Malawi in response to an exceptionally poor harvest following a late and erratic rainy season of 2015/16. Combining household survey data on transfers with a remotely sensed measure of drought and with the results of the 2014 and 2019 parliamentary elections, we show that transfers were disproportionately targeted at marginal constituencies. Rather than distributing the transfers based solely on need or mobilizing its tribal base, the government attempted to persuade swing voters to support its candidates in the next elections. We find no evidence that this strategy was successful at increasing the vote of ruling party candidates in subsequent elections.
The burdens of participation: A mixed-methods study of the effects of a nutrition-sensitive agriculture program on women’s time use in Malawi
Margolies, Amy; Colantuoni, Elizabeth; Morgan, Rosemary; Gelli, Aulo; Caulfield, Laura E.. 2023
World Development
163(March 2023)
Margolies, Amy; Colantuoni, Elizabeth; Morgan, Rosemary; Gelli, Aulo; Caulfield, Laura E.. 2023
World Development
163(March 2023)
DOI : 10.1016/j.worlddev.2022.106122
Abstract | View
Development programs often rely on women’s participation. However, there is little evidence of whether development programs that engage women’s unpaid labor – particularly in care work – add to their time burdens. We tested this hypothesis on a nutrition-sensitive agriculture program delivered through community-based preschools in Malawi. The mixed-methods study was conducted over one year using data from 1,168 female caregivers from a cluster-randomized control trial. A longitudinal binomial logistic regression model was used to estimate the proportion of time spent caregiving in a 24-hour period (expressed as minutes) at baseline and then separately for each treatment group at 6-months and 1-year post-randomization. In addition, two rounds of 38 qualitative in-depth interviews (n = 76) were conducted with women, men and adolescent girls to explore their perceptions of program activities, time use and gender attitudes. We found that the program quantitatively increased daily caregiving time for participating women by approximately 30 min. However, this effect occurred only during the lean season when preschool scale-up investments increased. Qualitatively, program-related tasks were not considered burdensome. Moreover, participants saw contributions as important investments in their children’s development. These findings add to limited evidence of the impacts of nutrition-sensitive agricultural programs and early childhood interventions on women’s time use. Measuring women’s participation through mixed-method evaluations can aid interpretation to avoid harm and to better understand the tradeoffs of women’s time.
Measuring women's empowerment: Gender and time-use agency in Benin, Malawi and Nigeria
Eissler, Sarah; Heckert, Jessica; Myers, Emily; Seymour, Greg; Sinharoy, Sheela; Yount, Kathryn. 2022
Development and Change
53(5)
Eissler, Sarah; Heckert, Jessica; Myers, Emily; Seymour, Greg; Sinharoy, Sheela; Yount, Kathryn. 2022
Development and Change
53(5)
DOI : 10.1111/dech.12725
Abstract | View
Time use, or how women and men allocate their time, is an important element of empowerment processes. To extend this area of study, this article proposes and explores the concept of time-use agency, which shifts the focus from the amount of time individuals spend on activities to the strategic choices they make about how to allocate their time. It draws on 92 semi-structured interviews from three qualitative studies in Benin, Malawi and Nigeria to explore and compare the salience of time-use agency as a component of empowerment. The article finds that time-use agency is salient among women and men and dictates how they can make and act upon strategic decisions related to how they allocate their time. It also finds that time-use agency is tied to other dimensions of agency beyond decision making and ways of exerting influence in the household. Its findings highlight that women's capacity to exercise time-use agency is conditional on gendered power dynamics and other barriers within households, which together are reciprocally related to local gender norms that dictate how women should spend their time.
Influence of agricultural extension services on technical efficiency of maize farmers in Malawi
Jolex, Aubrey. Lilongwe, Malawi 2022
African Journal of Agricultural and Resource Economics
17(1)
Jolex, Aubrey. Lilongwe, Malawi 2022
African Journal of Agricultural and Resource Economics
17(1)
DOI : 10.53936/afjare.2022.17(1).6
Abstract | View
Recognising potential selection bias due to non-randomness of the data, this study used propensity score matching on data from a nationally representative fifth Integrated Household Survey (IHS5) to investigate the effect of agriculture extension services on the technical efficiency of maize farmers in Malawi. Technical efficiency levels were estimated using the stochastic frontier model. The results show that most farmers are technically efficient, with an average technical efficiency of 63%. This indicates that there is still a possibility to increase maize output by 37% using the same level of inputs. The results of the propensity score matching reveal that having access to agricultural extension services significantly increases maize farmers’ technical efficiency, by about 4%. This evidence presents an opportunity not only for farmers, but also for the relevant policymakers, to realise the potential of using agricultural extension services to enhance the production capacity of maize farmers.
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