1,721,080 research outputs found

    Empowerment, climate change adaptation, and agricultural production: evidence from Niger

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    Presented by Fleur Wouterse (IFPRI), as part of the Annual Scientific Conference hosted by the CGIAR Collaborative Platform for Gender Research, Amsterdam, 5-6 December 2017

    Empowerment, climate change adaptation, and agricultural production: Evidence from Niger

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    We use new household level data from Niger and regression analysis to study the role of drought perception and human capital—including empowerment—in climate change adaptation through the digging of zaї pits and effects of these pits on agricultural productivity. We find that selection of households into adoption of zaï pits is influenced by the perception that the frequency of droughts has increased. More educated, experienced, and empowered households are also more likely to have put in place zaï pits. Accounting for endogeneity of adoption, zaї pits are found to significantly increase cereal yields. Our counterfactual analysis reveals that even though all households would benefit from adoption of zai pits, the effect would be significantly larger for households that did not adopt if they had adopted. For the latter group, empowerment in particular is associated with significantly higher yields

    Social services, human capital, and technical efficiency of smallholders in Burkina Faso:

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    This study applies regression analysis as well as a non-parametric method to survey data from Burkina Faso to analyze the role of human capital in explaining technical efficiency in smallholder agricultural production. Exploiting the panel nature of the data and explicitly treating human capital inputs as endogenous, a two-stage estimation method is used for the analysis of determinants of data envelopment analysis (DEA) technical efficiency scores in a double-bootstrap procedure. Findings suggest that the impact of human capital on technical efficiency differs strongly by gender. Strong positive returns exist for education of females, whereas male education is associated with higher inefficiency. Body mass index of adult females also positively relates to technical efficiency. At the community level, presence of a clinic, connection to the electrical grid, presence of a secondary school, and year-round accessibility of the community are found to be vital for human capital formation.Human capital, non-parametrics, public services, Smallholders,

    Case Study #5-3 of the Program: “Food Policy For Developing Countries: The Role Of Government In The Global Food System”

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    ©Cornell University, Ithaca, New York. All rights reserved. This case study may be reproduced for educational purposes without express permission but must include acknowledgment to Cornell University. No commercial use is permitted without permission.Migration plays an important role in development and as a strategy for poverty reduction. A recent World Bank investigation finds a significant positive relationship between international migration and poverty reduction at the country level (Adams and Page 2003). Burkina Faso, whose conditions for agriculture are far from favorable, has a long history of migratory movement, and migration within West Africa has long taken place in response to drought and low agricultural productivity. In recent decades, migration to destinations outside the African continent and in particular to Western Europe has become more important for migrants from Burkina Faso.Migration can be considered a livelihood diversification strategy because remittances resulting from migration constitute an income source that is uncorrelated with household income from agriculture. Migration affects the sending household in three ways. First, when a household member migrates, the household loses labor. Second, migration often results in remittances. Third, migration implies a reduction in household size for consumption. It is likely that both motives for and consequences of migration will differ by whether the destination is within Africa or outside Africa. Migration to destinations outside Africa is expensive in terms of transport costs but generates a comparatively high level of remittances for the household.This case study discusses the determinants and consequences of migration for households in four villages situated on the Central Plateau of Burkina Faso. Two forms of migration are distinguished: migration within Africa (continental migration) and migration to a destination outside Africa (intercontinental migration). A critical question is what happens to the welfare of rural households when they engage in either form of migration. When households lose labor, it may be harder for them to participate in and generate income from other activities such as agriculture. Remittances may partly compensate for these negative effects. In addition, a reduction in household size means less consumption pressure on the household.Considering the welfare impacts of both forms of migration and the wider policy environment, your assignment is to consider how policy could be directed toward enhancing the role of migration in local development.Cornell University Division of Nutritional Science

    Empowerment, adaptation, and agricultural production: Evidence from Niger

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    Located at the heart of West Africa, Niger is a landlocked country with three-quarters of its territory covered by the Sahara Desert. Niger’s climate is mostly arid, and it is one of the least developed countries in the world. The vast majority of its population lives in rural areas, and the country is strongly dependent on agriculture. Agriculture is predominantly rainfed and yields rely on one rainy season. Although productivity in Niger has shown a positive trend, agriculture has been strongly affected in recent decades by several crises partly or entirely due to extreme weather events. Farmers pursue a number of strategies in the face of climatic (and nonclimatic) stressors including soil and water conservation methods such as barriers, terracing, and planting pits, and their adaptive capacity is deemed critical for estimating the economic impact of climate change. An understanding of climate change adaptation processes at the farm household level is therefore crucial to the development of well-designed and targeted mitigation policies. In this study, we use new data from Niger and regression analysis to study climate change adaptation through the digging of zaї pits and food production and the role of human capital measures therein. We find that adaptation is influenced by the perception that the frequency of droughts has increased and by the availability of financial resources and household labor. Adaptation is also influenced by educational attainment—both formal and Koranic school education. Adaptation of zaї pits is found to play an important role in food productivity. Our counterfactual analysis reveals that even though all households would benefit from adaptation, the effect is found to be significantly larger for households that actually did adapt relative to those that did not, indicating that the prospects of closing the productivity gap through encouraging adaptation in less well-endowed households are limited

    Internal migration and rural service provision in northern Ghana:

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    This paper uses a two-stage conditional maximum likelihood procedure and new data from Ghana to identify the determinants of rural-urban migration at the individual, household and community levels, with a particular focus on rural services. The econometric evidence supports the theoretical expectation that human-capital and network variables as well as assets are important determinants of migration. Taking the possible endogeneity of rural services into account, the evidence suggests that rural service improvements aimed at reducing economic isolation can enhance labor mobility and free up on-farm labor for migration by lowering transaction costs.Rural-urban migration, rural services, Development strategies,

    The returns to empowerment in diversified rural household: Evidence from Niger

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    Niger is a landlocked Sahelian country, two-thirds of which is in the Sahara Desert. Although only one-eighth of the land considered arable, the overwhelming majority of Niger’s households is involved in rain-fed agriculture largely for subsistence. Given erratic rainfall and low soil fertility, most smallholders fail to produce enough food to meet household requirements. Income diversification is thus the norm among these rural households and different income-generating activities offer alternative pathways out of poverty for households as well as a mechanism for managing risk in an uncertain environment. Empowerment is likely to be an important factor affecting the ability of households to diversity their activity portfolio and may also affect activity-incomes and thereby household welfare. In this study, I use new household- and individual-level empowerment data from the Tahoua region of Niger and regression analysis to quantify the effects of a range of human capital measures including empowerment on the activity portfolio and activity incomes of rural households. My findings reveal that empowerment in particular plays an important role in enabling households to engage in mixed diversification strategy, which combines staple cropping with nonfarm activities and migration. This is a “last resort” strategy for households in lower landholding quintiles to ensure food security and complement an inadequate resource base. Controlling for activity choice, three empowerment indicators in particular—confidence, group membership, and tenure security—strongly and positively affect income from staple and cash cropping, which on average makes up about 90 percent of household income. In fact, empowerment is the only human capital variable that strongly and positively affects total household income, opening up interesting avenues for policy interventions aimed at augmenting a household’s noncognitive ability through, for example, leadership training or encouraging producer group membership—to increase incomes of the rural poor

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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