World Development[JOURNAL]
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200 papers
Does early nutrition predict cognitive skills during later childhood? Evidence from two developing countries.
Sánchez A, Favara M, Sheridan M … +1 more , Behrman J
World Dev · 2024 Apr · PMID 38249341 · Full text
The existing evidence linking early undernutrition to educational outcomes in developing countries is largely focused on assessing its impacts on grade attainment and achievement test scores, with limited evidence on the...
The existing evidence linking early undernutrition to educational outcomes in developing countries is largely focused on assessing its impacts on grade attainment and achievement test scores, with limited evidence on the foundational cognitive skills required to perform well at school. We use unique data collected in Ethiopia and Peru as part of the Young Lives Study to investigate the relationship between early undernutrition and four foundational cognitive skills measured later in childhood, the first two of which measure executive functioning: working memory, inhibitory control, long-term memory, and implicit learning. We exploit the rich longitudinal data available to control for potential confounders at the household and individual level and for time-invariant community characteristics. We also take advantage of the availability of data for paired-siblings to obtain household fixed-effects estimates. In the latter specification, we find robust evidence that stunting at ~ age 5 is negatively related with executive functions measured years later, predicting reductions in working memory and inhibitory control by 12.6% and 5.8% of a standard deviation. Although the main cohort of Young Lives was around 12 years old when executive functions were measured, complementary results and analysis of the data available for the younger siblings suggest that the impact of stunting on executive functions-specifically, on working memory-starts at an earlier age. Our results shed light on the mechanisms that explain the relationship between early nutrition and school achievement tests suggesting that good nutrition is an important determinant of children's learning capacities.
Joint decision-making, technology adoption and food security: Evidence from rice varieties in eastern India.
Malabayabas MLL, Mishra AK, Pede VO
World Dev · 2023 Nov · PMID 37916196 · Full text
This study investigates the effect of married couples' joint decision-making on rice variety selection on rice productivity-a measure of food security. The study uses the 2016 Rice Monitoring Survey and the endogenous sw...
This study investigates the effect of married couples' joint decision-making on rice variety selection on rice productivity-a measure of food security. The study uses the 2016 Rice Monitoring Survey and the endogenous switching regression (ESR) method. Results show that rice farms with joint decision-makers (husband and wife) would have higher yields, particularly in households that adopted MRVGen1 (before 1986) rice varieties. Thus, families with joint-decision making have higher food security. Intervention programs for food insecurity should acknowledge and incorporate information regarding the persons responsible for making rice varietal decisions and the characteristics of modern rice varieties to ensure food security.
Identifying deprived "slum" neighbourhoods in the Greater Accra Metropolitan Area of Ghana using census and remote sensing data.
MacTavish R, Bixby H, Cavanaugh A … +8 more , Agyei-Mensah S, Bawah A, Owusu G, Ezzati M, Arku R, Robinson B, Schmidt AM, Baumgartner J
World Dev · 2023 Jul · PMID 37767357 · Full text
BACKGROUND: Identifying urban deprived areas, including slums, can facilitate more targeted planning and development policies in cities to reduce socio-economic and health inequities, but methods to identify them are oft...
BACKGROUND: Identifying urban deprived areas, including slums, can facilitate more targeted planning and development policies in cities to reduce socio-economic and health inequities, but methods to identify them are often ad-hoc, resource intensive, and cannot keep pace with rapidly urbanizing communities. OBJECTIVES: We apply a spatial modelling approach to identify census enumeration areas (EAs) in the Greater Accra Metropolitan Area (GAMA) of Ghana with a high probability of being a deprived area using publicly available census and remote sensing data. METHODS: We obtained United Nations (UN) supported field mapping data that identified deprived "slum" areas in Accra's urban core, data on housing and population conditions from the most recent census, and remotely sensed data on environmental conditions in the GAMA. We first fitted a Bayesian logistic regression model on the data in Accra's urban core (n=2,414 EAs) that estimated the relationship between housing, population, and environmental predictors and being a deprived area according to the UN's deprived area assessment. Using these relationships, we predicted the probability of being a deprived area for each of the 4,615 urban EAs in GAMA. RESULTS: 899 (19%) of the 4,615 urban EAs in GAMA, with an estimated 745,714 residents (22% of its urban population), had a high predicted probability (≥80%) of being a deprived area. These deprived EAs were dispersed across GAMA and relatively heterogeneous in their housing and environmental conditions, but shared some common features including a higher population density, lower elevation and vegetation abundance, and less access to indoor piped water and sanitation. CONCLUSION: Our approach using ubiquitously available administrative and satellite data can be used to identify deprived neighbourhoods where interventions are warranted to improve living conditions, and track progress in achieving the Sustainable Development Goals aiming to reduce the population living in unsafe or vulnerable human settlements.
How did the COVID-19 crisis affect different types of workers in the developing world?
Kugler M, Viollaz M, Duque D … +4 more , Gaddis I, Newhouse D, Palacios-Lopez A, Weber M
World Dev · 2023 Oct · PMID 37362609 · Full text
This paper examines how the COVID-19 pandemic affected the employment of different groups of workers across 40 mostly low and middle-income countries. Employment outcomes during the crisis are tracked through high-freque...
This paper examines how the COVID-19 pandemic affected the employment of different groups of workers across 40 mostly low and middle-income countries. Employment outcomes during the crisis are tracked through high-frequency phone surveys conducted by the World Bank and national statistics offices. Our results show that larger shares of female, young, less educated, and urban workers stopped working at the beginning of the pandemic. Gender gaps in work stoppage stemmed mainly from gender differences within sectors rather than differential employment patterns of men and women across sectors. Differences in work stoppage between urban and rural workers were markedly smaller than those across gender, age, and education groups. Preliminary results from 10 countries suggest that following the initial shock at the start of the pandemic, employment rates partially recovered between April and August 2020, with greater gains for those groups that had borne the brunt of the early jobs losses. Although the high-frequency phone surveys over-represent household heads and therefore overestimate employment rates, a validation exercise for five countries suggests that they provide a reasonably accurate measure of disparities in employment levels by gender, education, and urban/rural location following the onset of the crisis, although they perform less well in capturing disparities between age groups. These results shed new light on the distributional labor market consequences of the COVID-19 crisis in developing countries, and suggest that real-time phone surveys, despite their lack of representativeness, are a valuable source of information to measure differential employment impacts across groups during an unfolding crisis.
Vulnerability and coping strategies within wild meat trade networks during the COVID-19 pandemic.
Enns C, van Vliet N, Mbane J … +6 more , Muhindo J, Nyumu J, Bersaglio B, Massé F, Cerutti PO, Nasi R
World Dev · 2023 Oct · PMID 37312885 · Full text
Measures adopted to prevent the spread of COVID-19 and economic shocks caused by the pandemic have affected food networks globally, including wild meat trade networks that support the livelihoods and food security of mil...
Measures adopted to prevent the spread of COVID-19 and economic shocks caused by the pandemic have affected food networks globally, including wild meat trade networks that support the livelihoods and food security of millions of people around the world. In this article, we examine how COVID-related shocks have affected the vulnerability and coping strategies of different actors along wild meat trade networks. Informed by 1,876 questionnaires carried out with wild meat hunters, traders, vendors, and consumers in Cameroon, Colombia, Democratic Republic of Congo (DRC), and Guyana, the article presents qualitative evidence as to how COVID-19 impacted different segments of society involved in wild meat trade networks. Our findings largely align with McNamara et al. (2020) and Kamogne Tagne et al.'s (2022) causal model hypothesising how the impacts of the pandemic could lead to a change in local incentives for wild meat hunting in sub-Saharan African countries. Like McNamara et al. (2020) and Kamogne Tagne et al. (2022), we find that the pandemic reduced wild meat availability for wild meat actors in urban areas while increasing reliance on wild meat for subsistence purposes in rural areas. However, we find some impact pathways to be more relevant than others, and also incorporate additional impact pathways into the existing causal model. Based on our findings, we argue that wild meat serves as an important safety net in response to shocks for some actors in wild meat trade networks. We conclude by advocating for policies and development interventions that seek to improve the safety and sustainability of wild meat trade networks and protect access to wild meat as an environmental coping strategy during times of crisis.
Community matters: Heterogeneous impacts of a sanitation intervention.
Abramovsky L, Augsburg B, Lührmann M … +2 more , Oteiza F, Rud JP
World Dev · 2023 May · PMID 37138929 · Full text
Sanitation is at the heart of public health policies in most of the developing world, where around 85% of the population still lack access to safe sanitation. We study the effectiveness of a widely adopted participatory...
Sanitation is at the heart of public health policies in most of the developing world, where around 85% of the population still lack access to safe sanitation. We study the effectiveness of a widely adopted participatory community-level information intervention aimed at improving sanitation. Results from a randomized controlled trial, implemented at scale in rural Nigeria, reveal stark heterogeneity in impacts: the intervention has immediate, strong and lasting effects on sanitation practices in less wealthy communities, realized through increased sanitation investments. In contrast, we find no evidence of impacts among wealthier communities. This suggests that a targeted implementation of CLTS may increase its effectiveness in improving sanitation. Our findings can be replicated in other contexts, using microdata from evaluations of similar interventions.
Resilience, endogenous policy responses to COVID-19, and their impacts on farm performance.
Guedegbe T, Adelaja A, George J
World Dev · 2023 Aug · PMID 37038591 · Full text
Policy measures aimed at containing the spread of the COVID-19 pandemic had unintended consequences on economic activities globally. In this study, we isolate and investigate the short-term partial impacts of six such me...
Policy measures aimed at containing the spread of the COVID-19 pandemic had unintended consequences on economic activities globally. In this study, we isolate and investigate the short-term partial impacts of six such measures on the farm and nonfarm incomes of agricultural households and examine the related resilience factors. Using Nigeria as a case study, we find that the COVID containment measures had mixed effects on farm and non-farm incomes in the short run. These varying effects are due to households' resilience and vulnerability factors, including land size, wealth, income diversification, involvement in processing activities, and reliance on hired labor. Our findings highlight the need for more targeted health crisis containment measures which consider the uniqueness, diversity, and regional heterogeneity of agriculture, especially the potential implications for farm viability.
The Agency, Resources, and Institutional Structures for Sanitation-related Empowerment (ARISE) Scales: Development and validation of measures of women's empowerment in urban sanitation for low- and middle-income countries.
Sinharoy SS, McManus S, Conrad A … +2 more , Patrick M, Caruso BA
World Dev · 2023 Apr · PMID 37013085 · Full text
Sustainable Development Goal 6 aims to ensure access to water and sanitation for all, and target 6.2 emphasizes "paying special attention to the needs of women and girls". Research documenting how water, sanitation and h...
Sustainable Development Goal 6 aims to ensure access to water and sanitation for all, and target 6.2 emphasizes "paying special attention to the needs of women and girls". Research documenting how water, sanitation and hygiene (WASH) conditions impact women's and girls' lives is growing. However, no rigorously validated survey instruments exist for measuring empowerment within the WASH sector. The objective of our study was to develop and validate survey instruments to measure sub-domains of women's empowerment in relation to sanitation in urban areas of low- and middle-income countries. We followed a multi-phased, theory-informed approach that included factor analysis and item response theory methods, as well as reliability and validity testing, to analyze cross-sectional data collected from women in two cities: Tiruchirappalli, India (N = 996) and Kampala, Uganda (N = 1,024). Through rigorous evaluation of conceptually grounded question (item) sets, we identify a set of valid, comprehensive scales. The Agency, Resources, and Institutional Structures for Sanitation-related Empowerment (ARISE) scales represent 16 sub-domains of sanitation-related empowerment, each of which can be used alone or in combination with others, as needed. The ARISE scales are the only set of psychometrically validated metrics for the measurement of women's empowerment in WASH. In addition to the scales, we provide six indices to assess women's direct experiences with sub-domains of sanitation-related empowerment, as well as validated item sets related to menstruation, which are available as optional add-on measures for those who menstruate. The ARISE scales and associated survey modules respond to an established need for an increased focus on empowerment in WASH. We provide researchers and implementers with tools to measure sub-constructs of empowerment in a valid and reliable way, to generate data for better targeting, design, implementation, and evaluation of strategies to improve women's empowerment in the context of urban sanitation at the program and policy level.
Decentred regulation: The case of private healthcare in India.
Hunter BM, Murray SF, Marathe S … +1 more , Chakravarthi I
World Dev · 2022 Jul · PMID 36846632 · Full text
In order to progress towards more equitable social welfare systems we need an improved understanding of regulation in social sectors such as health and education. However, research to date has tended to focus on roles fo...
In order to progress towards more equitable social welfare systems we need an improved understanding of regulation in social sectors such as health and education. However, research to date has tended to focus on roles for governments and professions, overlooking the broader range of regulatory systems that emerge in contexts of market-based provisioning and partial state regulation. In this article we examine the regulation of private healthcare in India using an analytical approach informed by 'decentred' and 'regulatory capitalism' perspectives. We apply these ideas to qualitative data on private healthcare and its regulation in Maharashtra (review of press media, semi-structured interviews with 43 respondents, and three witness seminars), in order to describe the range of state and non-state actors involved in setting rules and norms in this context, whose interests are represented by these activities, and what problems arise. We show an eclectic set of regulatory systems in operation. Government and statutory councils do perform limited and sporadic regulatory roles, typically organised around legislation, licensing and inspections, and often prompted by the judicial arm of the state. But a range of industry-level actors, private organisations and public insurers are involved too, promoting their own interests in the sector via the offices of regulatory capitalism: accreditation companies, insurers, platform operators and consumer courts. Rules and norms are extensive but diffuse. These are produced not just through laws, licensing and professional codes of conduct, but also through industry influence over standards, practices and market organisation, and through individualised attempts to negotiate exceptions and redressal. Our findings demonstrate regulation in a marketised social sector to be partial, disjointed and decentred to multiple loci, actively representing differing interests. Greater understanding of the different actors and processes at play in such contexts can inform future progress towards universal systems for social welfare.
Using machine learning and qualitative interviews to design a five-question survey module for women's agency.
Jayachandran S, Biradavolu M, Cooper J
World Dev · 2023 Jan · PMID 36597415 · Full text
Open-ended interview questions elicit rich information about people's lives, but in large-scale surveys, social scientists often need to measure complex concepts using only a few close-ended questions. We propose a new m...
Open-ended interview questions elicit rich information about people's lives, but in large-scale surveys, social scientists often need to measure complex concepts using only a few close-ended questions. We propose a new method to design a short survey measure for such cases by combining mixed-methods data collection and machine learning. We identify the best survey questions based on how well they predict a benchmark measure of the concept derived from qualitative interviews. We apply the method to create a survey module and index for women's agency. We measure agency for 209 married women in Haryana, India, first, through a semi-structured interview and, second, through a large set of close-ended questions. We use qualitative coding methods to score each woman's agency based on the interview, which we use as a benchmark measure of agency. To determine the close-ended questions most predictive of the benchmark, we apply statistical algorithms that build on LASSO and random forest but constrain how many variables are selected for the model (five in our case). The resulting five-question index is as strongly correlated with the coded qualitative interview as is an index that uses all of the candidate questions. This approach of selecting survey questions based on their statistical correspondence to coded qualitative interviews could be used to design short survey modules for many other latent constructs.
Accelerating technical change through ICT: Evidence from a video-mediated extension experiment in Ethiopia.
Abate GT, Bernard T, Makhija S … +1 more , Spielman DJ
World Dev · 2023 Jan · PMID 36597414 · Full text
Despite enthusiasm around applications of information and communications technologies (ICTs) to smallholder agriculture in many lower-income countries, there are still many questions on the effectiveness of ICT-based app...
Despite enthusiasm around applications of information and communications technologies (ICTs) to smallholder agriculture in many lower-income countries, there are still many questions on the effectiveness of ICT-based approaches. This study assesses the impacts of video-mediated agricultural extension service provision on farmers' adoption of improved agricultural technologies and practices in Ethiopia using data from a two-year randomized experiment. Our results show that the video-mediated extension approach significantly increases uptake of recommended technologies and practices by improving extension access and farmer knowledge. Specifically, we find that video-mediated extension reaches a wider audience than the government's conventional extension approach and leads to higher levels of farmer understanding and uptake of the subject technologies in those locations randomly assigned to the program. While our results also point to greater extension access and greater knowledge among female spouses in locations where both male and female spouses were targeted by the program, we do not find clear evidence that a more inclusive approach translates into higher uptake of the subject technologies. Finally, we find that the video-mediated approach becomes less costly as the scale of operation increases.
The economic efficiency of aid targeting.
BenYishay A, DiLorenzo M, Dolan C
World Dev · 2022 Dec · PMID 36467282 · Full text
How efficient is the targeting of foreign aid to populations in need? A long literature has focused on the impacts of foreign aid, but much rarer are studies that examine how such aid is allocated within countries. We ex...
How efficient is the targeting of foreign aid to populations in need? A long literature has focused on the impacts of foreign aid, but much rarer are studies that examine how such aid is allocated within countries. We examine the extent to which donors efficiently respond to exogenous budget shocks by shifting resources toward needier districts within a given country, as predicted by theory. We use recently geocoded data on the World Bank's aid in 23 countries that crossed the lower-middle income threshold between 1995 and 2010 and thus experienced sharp aid reductions. We measure locations' need along a number of dimensions, including nighttime lights emissions, population density, conflict exposure, and child mortality. We find little evidence that aid project siting is increasingly concentrated in worse-off areas as budgets shrink; the only exception appears to be a growing share of funding in more conflict-affected areas. We further analyze the relationship of health aid to child mortality measures in six key countries, again finding little evidence of efficient responses to budget shocks. Taken together, these results suggest that large efficiency gains may be possible in the distribution of aid from the World Bank and other donors.
Did a successful fight against COVID-19 come at a cost? Impacts of the pandemic on employment outcomes in Vietnam.
Dang HH, Nguyen CV, Carletto C
World Dev · 2023 Jan · PMID 36284738 · Full text
Despite its low middle-income status, Vietnam has been widely praised for its success in the fight against early waves of the COVID-19 pandemic, with a low mortality rate of approximately 100 deaths out of a population o...
Despite its low middle-income status, Vietnam has been widely praised for its success in the fight against early waves of the COVID-19 pandemic, with a low mortality rate of approximately 100 deaths out of a population of less than 100 million by the end of 2020. We add to the emerging literature on COVID-19 effects on the labor market for poorer countries by analyzing rich individual-level data from Vietnam's Labor Force Surveys spanning 2015 to 2020. We find post-pandemic increases in unemployment and temporary layoff rates alongside decreases in employment quality. Monthly wages declined even as the proportion of workers receiving below-minimum wages substantially increased, contributing to sharply rising wage inequality. Our findings suggest that more resources should be allocated to protect vulnerable workers, especially as the pandemic continues to cause increasingly severe damage to the global economy.
Impact of a homestead food production program on women's empowerment: Pro-WEAI results from the FAARM trial in Bangladesh.
Waid JL, Wendt AS, Sinharoy SS … +2 more , Kader A, Gabrysch S
World Dev · 2022 Oct · PMID 36193041 · Full text
Nutrition-sensitive agricultural programs have the potential to improve women's and children's nutrition, along with women's empowerment. The project-level Women's Empowerment in Agriculture Index (pro-WEAI) aims to stan...
Nutrition-sensitive agricultural programs have the potential to improve women's and children's nutrition, along with women's empowerment. The project-level Women's Empowerment in Agriculture Index (pro-WEAI) aims to standardize the measurement of women's agency and enable the assessment of impact over typical project timelines. Within the Food and Agricultural Approaches to Reducing Malnutrition (FAARM) cluster-randomized controlled trial in rural Habiganj, Sylhet, Bangladesh, we examined quantitative pro-WEAI data collected from a subsample of trial participants and their husbands (n = 885) approximately four months after the end of the intervention. We evaluated the impact of a three-year homestead food production program on men's and women's agency separately by pro-WEAI domain and indicator, using multilevel logistic and linear regression. We show that women in the FAARM intervention group had levels of agency similar to men and much higher than women in the control group (Odds Ratio [OR] 7.7, p < 0.001), corresponding to better gender equity in intervention areas (OR 3.5, p < 0.001). The higher levels of agency among intervention women were driven by greater intrinsic and collective agency but not by instrumental agency. Compared to controls, more women in the intervention group found intimate partner violence unacceptable (OR 3.5, p < 0.001), had greater ownership of assets (OR 2.6, p = 0.001), better control of income (OR 1.8, p = 0.042), higher levels of group membership (OR 14.0, p < 0.001), and membership in groups they considered influential (OR 166.8, p < 0.001). Self-efficacy was greater in intervention areas for both women (OR 3.2, p < 0.001) and men (OR 2.3, p = 0.002). Our results contribute to the development of benchmarks for interpreting pro-WEAI scores across programs. Our assessment of the impact of a homestead food production program on women's agency provides additional rationale for women-led agricultural projects. We plan to build on these findings by examining the role of improved women's agency on the pathway from the intervention to nutritional impacts.
Teacher pay in Africa: Evidence from 15 countries.
Evans DK, Yuan F, Filmer D
World Dev · 2022 Jul · PMID 35784858 · Full text
Pay levels for public sector workers-and especially teachers-are a constant source of controversy. In many countries in Sub-Saharan Africa, protests and strikes suggest that pay is low, while comparisons to average natio...
Pay levels for public sector workers-and especially teachers-are a constant source of controversy. In many countries in Sub-Saharan Africa, protests and strikes suggest that pay is low, while comparisons to average national income per capita suggest that it is high. This study presents data on teacher earnings from 15 African countries. The results suggest that in several (seven) countries, teachers' monthly earnings are lower than other formal sector workers with comparable levels of education and experience. However, in all of those countries, teachers report working significantly fewer hours than other workers, such that hourly earnings are significantly lower for teachers in only one country. The study documents non-pecuniary benefits (such as medical insurance or a pension) for teachers relative to other workers: of the 13 country surveys that report non-pecuniary benefits, teachers are more likely to receive at least one benefit than other workers in 11. Teachers who report fewer hours are no more likely to report holding a second job, although teachers overall are nearly two times more likely to hold a second job than other workers. The study documents other characteristics of the teacher labor force across countries-e.g., mostly male but less so than other workers, mostly employed by the public sector. The study also documents within-country variation across types of teacher contracts-e.g., teachers on fixed term contracts make about 70 percent of teachers on permanent contracts, with wide variation across countries. The large heterogeneity in teacher earnings premia is not easily explained by observed characteristics of the countries' economies or education systems. Nonetheless, after taking hours and non-pecuniary benefits into account, we find no evidence that teachers are systematically underpaid in this sample of countries.
A simplified measure of nutritional empowerment: Using machine learning to abbreviate the Women's Empowerment in Nutrition Index (WENI).
Saha S, Narayanan S
World Dev · 2022 Jun · PMID 35664956 · Full text
Measuring empowerment is both complicated and time consuming. A number of recent efforts have focused on how to better measure this complex multidimensional concept such that it is easy to implement. In this paper, we us...
Measuring empowerment is both complicated and time consuming. A number of recent efforts have focused on how to better measure this complex multidimensional concept such that it is easy to implement. In this paper, we use machine learning techniques, specifically LASSO, using survey data from five Indian states to abbreviate a recently developed measure of nutritional empowerment, the Women's Empowerment in Nutrition Index (WENI) that has 33 distinct indicators. Our preferred Abridged Women's Empowerment in Nutrition Index (A-WENI) consists of 20 indicators. We validate the A-WENI via a field survey from a new context, the western Indian state of Maharashtra. We find that the 20-indicator A-WENI is both capable of reproducing well the empowerment scores and status generated by the 33-indicator WENI and predicting nutritional outcomes such as BMI and dietary diversity. Using this index, we find that in our Maharashtra sample, on average, only 35.9% of mothers of children under the age of 5 years are nutritionally empowered, whereas 77.2% of their spouses are nutritionally empowered. We also find that only 14.6% of the elderly women are nutritionally empowered. These estimates are broadly consistent with those based on the 33-indicator WENI. The A-WENI will reduce the time burden on respondents and can be incorporated in any general purpose survey conducted in rural contexts. Many of the indicators in A-WENI are often collected routinely in contemporary household surveys. Hence, capturing nutritional empowerment does not entail significant additional burden. Developing A-WENI can thus aid in an expansion of efforts to measure nutritional empowerment; this is key to understanding better the barriers and challenges women face and help identify ways in which women can improve their nutritional well-being in meaningful ways.
Selective inclusion in cash transfer programs: Unintended consequences for social cohesion.
Della Guardia A, Lake M, Schnitzer P
World Dev · 2022 Sep · PMID 35664293 · Full text
Debates over universal versus selective or targeted provision of benefits in social protection programming have gained traction in recent years. In some cases, poverty targeting has been found to benefit communities, cre...
Debates over universal versus selective or targeted provision of benefits in social protection programming have gained traction in recent years. In some cases, poverty targeting has been found to benefit communities, creating positive economic spillover effects even for non-recipients. However, targeted programs can also reconfigure social relations, carrying a social stigma that bifurcates communities. Drawing from rich qualitative data from a cash transfer program in Chad, we explore both the economic and social implications of targeting in cash transfer programs in contexts with widespread poverty. We find significant positive economic effects on non-beneficiaries. At the same time, not only does participation engender considerable social costs, but several punitive and economic costs arise for recipients as a result of their inclusion in the program, with repercussions for the transfer’s productivity. We conclude that in contexts where everyone is poor, targeting can create new fissures within a community, stemming from a combination of jealousy and skepticism with regard to the perceived deservingness of transfer recipients vis-à-vis other village inhabitants. When budgets are insufficient to cover all poor, the positive effects of cash transfer programs may be enhanced by reducing the geographic focus of social safety net programs to ensure all inhabitants can access benefits.
Economies of scale of large-scale international development interventions: Evidence from self-help groups in India.
Siwach G, Paul S, de Hoop T
World Dev · 2022 May · PMID 35506062 · Full text
Livelihoods and microfinance programs for women often show reduced impacts after scale-up. Yet, program scale-up may reduce average per capita costs and maintain cost-effectiveness despite lower impact. This paper presen...
Livelihoods and microfinance programs for women often show reduced impacts after scale-up. Yet, program scale-up may reduce average per capita costs and maintain cost-effectiveness despite lower impact. This paper presents evidence on the association between program scale, costs, and cost-effectiveness by analyzing how the costs of a large-scale Self-Help Group (SHG) program in India changed from its inception in 2007 to its scale-up in 2019. We use expenditure data from program's audit statements of - the Bihar Rural Livelihoods Promotion Society - and find that a 1% increase in program membership was associated with a 0.6% increase in annual program expenditures, indicating large economies of scale. Predicted costs from regressions suggest that the annual per capita program expenditures declined from $29 when the program covered 100,000 members to $5 when it reached 10 million members. Previous impact evaluations of showed sizeable but smaller substitutions away from high-cost debt after scale-up than during the pilot, but we found that economies of scale led to similar cost-effectiveness ratios for this outcome. We also found that formation of higher-level federations is associated with lower marginal costs than setting up SHGs. However, previous evidence suggests that did not generate average impacts on women's agency and asset ownership after scale-up. Building on a rich history of research on , we argue that program implementers must identify key success factors in pilot programs to minimize tradeoffs between cost savings and potentially reduced impacts after scale-up. Further, we suggest investments in linking SHGs to federations to improve the cost-effectiveness of SHGs.
Increasing engagement in price crowdsourcing initiatives: Using nudges in Nigeria.
Solano-Hermosilla G, Barreiro-Hurle J, Adewopo JB … +1 more , Gorrín-González C
World Dev · 2022 Apr · PMID 35370345 · Full text
African agriculture is yet to reach its full food production potential. One way of addressing this is a better distribution of market signals to farmers and other market participants, which can help them make better-info...
African agriculture is yet to reach its full food production potential. One way of addressing this is a better distribution of market signals to farmers and other market participants, which can help them make better-informed decisions, leading to increased income and capacity for investment. Hence, increasing the availability of market information in Africa is a priority and alternative data sources, and new Information Communication Technologies (ICTs) offer huge potential to complement classic official statistics. This has given rise to a number of ICTs and citizen science projects to monitor data in real time, of which food price crowdsourcing in Africa is one. However, one of the main challenges faced by crowdsourcing initiatives is to ensure that individuals feed useful information into the system. In this paper, we test the potential of behavioural interventions to help sustain crowd contributions by leveraging intrinsic and/or extrinsic motivations. We used two randomised control trials (RCTs) to evaluate whether the inclusion of two nudges (one based on social norms and one based on information disclosure) in the design of a food price crowdsourcing initiative can improve crowd engagement. Our results show that social norms increase crowd participation while disclosing price information does not. The latter highlights the need for further research to identify which type of information and format to make it accessible would best help to sustain crowd effort levels. These findings have the potential to be useful in designing future crowdsourcing (or other types of) initiatives that require sustained citizen engagement over time.
Women farm what they can manage: How time constraints affect the quantity and quality of labor for married women's agricultural production in southwestern Nigeria.
Pierotti RS, Friedson-Ridenour S, Olayiwola O
World Dev · 2022 Apr · PMID 35370344 · Full text
Across sub-Saharan Africa smallholder farmers depend heavily on manual labor supplied by their households, families, and communities. Gender differences in the ability of farm managers to acquire needed labor has been li...
Across sub-Saharan Africa smallholder farmers depend heavily on manual labor supplied by their households, families, and communities. Gender differences in the ability of farm managers to acquire needed labor has been linked with women's disadvantage in agricultural productivity. This in-depth qualitative research in southwestern Nigeria builds on studies that document gender gaps by examining how men and women make sense of the allocation of labor within their households. Insights from observation over the course of one year and interviews with 93 participants are combined with evidence from existing literature to develop a framework that illustrates the conceptual links between constraints on women's time use and the quantity and quality of labor available for their agricultural activities. We find that women's time and labor constraints are rooted in common social expectations that men's farm plots take priority and that a woman should only farm what she can manage without interfering with the agricultural production managed by her husband. Practically, this means that women's household responsibilities and off-farm work limit their own farm labor and their ability to supervise hired labor. The prioritization of men's plots also means that labor is allocated to men's plots first in the day, which results in less labor and potentially less productive labor available for women's farms. Also, women's access to labor is especially constrained by seasonal fluctuations in labor demand because of the precedence given to men's agricultural production. The conceptual framework is meant as a tool to be used in future research on time use, agricultural labor, and gender differences in agricultural productivity. It highlights the ways in which intrahousehold negotiations over labor and time use are not just about maximizing efficiency or productivity, but also about maintaining social hierarchies, roles, and responsibilities.
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