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  • 1
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Gourlay, Sydney Is Dirt Cheap? The Economic Costs of Failing to Meet Soil Health Requirements on Smallholder Farms
    Keywords: Agricultural Growth and Rural Development ; Agricultural Productivity ; Agriculture ; Agriculture and Farming Systems ; Crop Yields ; Household Surveys ; Rural Development ; Smallholders ; Soil ; Sub-Saharan Africa ; Technical Efficiency ; Uganda
    Abstract: Agricultural productivity is hindered in smallholder farming systems due to several factors, including farmers' inability to meet crop-specific soil requirements. This paper focuses on soil suitability for maize production and creates multidimensional soil suitability profiles of smallholder maize plots in Uganda, while quantifying forgone production due to cultivation on less-than-suitable land and identifying groups of farmers that are disproportionately impacted. The analysis leverages the unique socioeconomic data from a subnational survey conducted in Eastern Uganda, inclusive of plot-level, objective measures of maize yields and soil attributes. Stochastic frontier models of maize yields are estimated within each soil suitability class to understand differences in returns to inputs, technical efficiency, and potential yield. Only 13 percent of farmers are cultivating soil that is highly suitable for maize production, while the vast majority are cultivating only moderately suitable plots. Farmers cultivating highly suitable soil have the potential to increase their observed yields by as much as 86 percent, while those at the opposite end of the suitability distribution (with marginally suitable land) operate closer to the production frontier and can only increase yields by up to 59 percent, given the current technology set. There is heterogeneity in potential gains across the wealth distribution, with poorer households facing more heavily constrained potential. Assuming no change in technologies and management practices used by Ugandan farmers, there are limited economic gains tied to closing suitability class-specific productivity gaps, or even at the extreme reaching the average potential productivity levels observed in the high suitability class
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  • 2
    Language: English
    Pages: 1 Online-Ressource (36 pages)
    Parallel Title: Erscheint auch als Zezza, Alberto From Necessity to Opportunity: Lessons for Integrating Phone and in-Person Data Collection for Agricultural Statistics in a Post-Pandemic World
    Keywords: Agricultural Statistics ; COVID-19 Impact Data ; COVID-19 Lock-Down ; Digital Divide ; Gender ; Gender Monitoring and Evaluation ; Health Monitoring and Evaluation ; Health, Nutrition and Population ; Household Survey ; Information and Communication Technologies ; Living Standards ; Phone Survey ; Poverty Monitoring and Analysis ; Rural Population ; Rural Survey Technique ; Survey Methods
    Abstract: The COVID-19 pandemic has disrupted survey and data systems globally and especially in low- and middle-income countries. Lockdowns necessitated remote data collection as demand for data on the impacts of the pandemic surged. Phone surveys started being implemented at a national scale in many places that previously had limited experience with them. As in-person data collection resumes, the experience gained provides the grounds to reflect on how phone surveys may be incorporated into survey and data systems in low- and middle-income countries. This includes agricultural and rural surveys supported by international survey programs such as the World Bank's Living Standards Measurement Study-Integrated Surveys on Agriculture, the Food and Agriculture Organization's AGRISurvey, or the 50*2030 Initiative. Reviewing evidence and experiences from before and during the pandemic, the paper analyzes and provides guidance on the scope of and considerations for using phone surveys for agricultural data collection. It addresses the domains of sampling and representativeness, post-survey adjustments, questionnaire design, respondent selection and behavior, interviewer effects, as well as cost considerations, all with an emphasis on the particularities of agricultural and rural surveys. Ultimately, the integration of phone interviews with in-person data collection offers a promising opportunity to leverage the benefits of phone surveys while addressing their limitations, including the depth of content constraints and potential coverage biases, which are especially challenging for agricultural and rural populations in low- and middle-income countries
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