03. Journals
2,963 items available
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These are journal articles published in World Bank journals as well as externally by World Bank authors.
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Publication
Koranic Schools in Niger: How Much Can Be Learned from Existing Data?
(Taylor and Francis, 2022-01-28)The term Koranic school is often used to describe schools that are not part of the formal education system and typically place a strong emphasis on memorizing the Koran in Arabic, as well as on knowledge of Islamic religious education and practice. Using data from Niger as a case study, this paper provides data on trends in the share of individuals that have a Koranic education, a formal education, or no education at all, as well as a basic profile (univariate and multivariate) of children with Koranic education, formal education, or no education at all. In addition, the potential impacts of Koranic education in comparison to formal education or no education at all on outcomes such as literacy and numeracy, labor market earnings, household consumption, assets and perceptions of well-being, and infant mortality is analyzed. -
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Factors Associated with Educational and Career Aspirations of Young Women and Girls in Sierra Leone
(Taylor and Francis, 2021-09-05)Empirical data on the aspirations of young women and girls in post-conflict settings are scarce. This article analyses the factors associated with the educational and career aspirations of 2,473 young women and girls in Sierra Leone. Findings indicated that over three-quarters of our sample aspired to continue their studies up to the university level, and two-thirds aspired to obtain a formal sector job requiring an education. These findings are important for discussions of aid which can accelerate economic advances and opportunities within advanced economies for both women and men. -
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Quality of Clinical Assessment and Child Mortality: A Three-Country Cross-Sectional Study
(Oxford University Press, 2020-06)This analysis describes specific gaps in the quality of health care in Central Africa and assesses the association between quality of clinical care and mortality at age 2–59 months. Regionally representative facility and household surveys for the Democratic Republic of the Congo, Cameroon and Central African Republic were collected between 2012 and 2016. These data are novel in linking facilities with households in their catchment area. Compliance with diagnostic and danger sign protocols during sick-child visits was observed by trained assessors. We computed facility- and district-level compliance indicators for patients aged 2–59 months and used multivariate multi-level logistic regression models to estimate the association between clinical assessment quality and mortality at age 2–59 months in the catchment areas of the observed facilities. A total of 13 618 live births were analysed and 1818 sick-child visits were directly observed and used to rate 643 facilities. Eight percent of observed visits complied with 80% of basic diagnostic protocols, and 13% of visits fully adhered to select general danger sign protocols. A 10% greater compliance with diagnostic protocols was associated with a 14.1% (adjusted odds ratio (aOR) 95% CI: 0.025–0.244) reduction in the odds of mortality at age 2–59 months; a 10% greater compliance with select general danger sign protocols was associated with a 15.3% (aOR 95% CI: 0.058–0.237) reduction in the same odds. The results of this article suggest that compliance with recommended clinical protocols remains poor in many settings and improvements in mortality at age 2–59 months could be possible if compliance were improved. -
Publication
Games as Boundary Objects: Charting Trade-offs in Sustainable Livestock Transformation
(Taylor and Francis, 2020-03-27)Attempts to structurally transform segments of the agri-food system inevitably involve trade-offs between the priorities of actors with different incentives, perspectives and values. Trade-offs are context-specific, reflecting different socio-economic and political realities. We investigate the potential of structured boundary objects to facilitate exposing and reconciling these trade-offs within the context of multi-stakeholder social learning processes with pastoral and mixed crop-livestock communities in Burkina Faso, Ethiopia and Tanzania. Building on boundary objects as items flexible enough to be understood by all without having one common definition, structured boundary objects visualize actors’ input in a comparable format to facilitate knowledge sharing. Stakeholders in each country used a simulation tool and board game to explore the implications of changing livestock stocking and management practices for the environment and for actors’ future socio-economic priorities. Using structured boundary objects elicited trade-offs between household food and animal feed, and between livestock for income, labor, and/ or cultural functions, reflecting the context-specific and subjective evaluations actors make when attempting to plan livelihood changes. Our findings suggest to policy and decision-makers that sustainable transition plans can be developed when stakeholders in local agri-food systems employ approaches that allow shared understandings of trade-offs inherent to sustainable agriculture to emerge. -
Publication
How to Target Households in Adaptive Social Protection Systems? Evidence from Humanitarian and Development Approaches in Niger
(Taylor and Francis, 2019-12-06)The methods used to identify the beneficiaries of programs aiming to address persistent poverty and shocks are subject to frequent policy debates. Relying on panel data from Niger, this report simulates the performance of various targeting methods that are widely used by development and humanitarian actors. The methods include proxy-means testing (PMT), household economy analysis (HEA), geographical targeting, and combined methods. Results show that PMT performs more effectively in identifying persistently poor households, while HEA shows superior performance in identifying transiently food insecure households. Geographical targeting is particularly efficient in responding to food crises, which tend to be largely covariate. Combinations of geographical, PMT, and HEA approaches may be used as part of an efficient and scalable adaptive social protection system. Results motivate the consolidation of data across programs, which can support the application of alternative targeting methods tailored to program-specific objectives. -
Publication
Predicting Entrepreneurial Success is Hard: Evidence from a Business Plan Competition in Nigeria
(Elsevier, 2019-11)We compare the absolute and relative performance of three approaches to predicting outcomes for entrants in a business plan competition in Nigeria: Business plan scores from judges, simple ad hoc prediction models used by researchers, and machine learning approaches. We find that i) business plan scores from judges are uncorrelated with business survival, employment, sales, or profits three years later; ii) a few key characteristics of entrepreneurs such as gender, age, ability, and business sector do have some predictive power for future outcomes; iii) modern machine learning methods do not offer noticeable improvements; iv) the overall predictive power of all approaches is very low, highlighting the fundamental difficulty of picking competition winners. -
Publication
Leaving, Staying or Coming Back? Migration Decisions During the Northern Mali Conflict
(Taylor and Francis, 2019-10)This paper uses a unique data set to analyse the migration dynamics of refugees, returnees and, internally displaced people from the Northern Mali conflict. Individuals were interviewed monthly using mobile phones. Our results cast light on the characteristics of these three groups before and after displacement. In addition, we test how employment and security were related to migration status, as well as the willingness to go back home. Individuals who were employed while displaced were less willing to go back to the North, while those who owned a gun were more likely to plan to go back. Additional indicators of personal safety played a lesser role. -
Publication
The Role of Social Ties in Factor Allocation
(Published by Oxford University Press on behalf of the World Bank, 2019-10)We investigate whether social structure helps or hinders factor allocation using unusually rich data from the Gambia. Evidence indicates that land available for cultivation is allocated unequally across households; and that factor transfers are more common between neighbors, co-ethnics, and kinship-related households. Does this lead to the conclusion that land inequality is due to flows of land between households being impeded by social divisions? To answer this question, a novel methodology that approaches exhaustive data on dyadic flows from an aggregate point of view is introduced. Land transfers lead to a more equal distribution of land and to more comparable factor ratios across households in general. But equalizing transfers of land are not more likely within ethnic or kinship groups. In conclusion, ethnic and kinship divisions do not hinder land and labor transfers in a way that contributes to aggregate factor inequality. Labor transfers do not equilibrate factor ratios across households. But it cannot be ruled out that they serve a beneficial role, for example, to deal with unanticipated health shocks. -
Publication
Personality Traits, Technology Adoption, and Technical Efficiency: Evidence from Smallholder Rice Farms in Ghana
(Taylor and Francis, 2019-09)Although a large literature highlights the impact of personality traits on key labor market outcomes, evidence of their impact on agricultural production decisions remains limited. Data from 1,200 Ghanaian rice farmers suggest that noncognitive skills (polychronicity, work centrality, and optimism) significantly affect simple adoption decisions, returns from adoption, and technical efficiency in rice production, and that the size of the estimated impacts exceeds that of traditional human capital measures. Greater focus on personality traits relative to cognitive skills may help accelerate innovation diffusion in the short term, and help farmers to respond flexibly to new opportunities and risks in the longer term. -
Publication
The Impact of Monetary Incentives on Referrals by Traditional Birth Attendants for Postnatal Care in Nigeria
(World Bank, Washington, DC, 2019-05-20)Gaps in postnatal care use represent missed opportunities to prevent maternal and neonatal death in sub-Saharan Africa. As one in every three non-facility deliveries in Nigeria is assisted by a traditional birth attendant (TBA), and the TBA’s advice is often adhered to by their clients, engaging TBAs in advocacy among their clients may increase maternal and neonatal postnatal care use. This study estimates the impact of monetary incentives for maternal referrals by TBAs on early maternal and neonatal postnatal care use (within 48 h of delivery) in Nigeria. Overall, 207 TBAs participated in this study: 103 in the treatment group and 104 in the control group. The intervention increased the proportion of maternal clients of TBAs that reported attending postnatal care within 48 h of delivery by 15.4 percentage points [95% confidence interval (CI): 7.9–22.9]. The proportion of neonatal clients of TBAs that reportedly attended postnatal care within 48 h of delivery also increased by 12.6 percentage points [95% CI: 5.9–19.3]. However, providers often did not address the issues that may have led to maternal and newborn postnatal complications during these visits. We show that motivating TBAs using monetary incentives for maternal postnatal care use can increase skilled care use after delivery among their maternal and neonatal clients, who have a higher risk of mortality because of their exposure to unskilled birth attendance. However, improving the quality of care is key to ensuring maternal and neonatal health gains from postnatal care attendance.
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