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  • 1
    Online Resource
    Online Resource
    Could the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (76 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Gourlay, Sydney Could the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda
    Abstract: Based on a two-round household panel survey conducted in Eastern Uganda, this study shows that the analysis of the inverse scale-productivity relationship is highly sensitive to how plot-level maize production, hence yield (production divided by GPS-based plot area), is measured. Although farmer-reported production-based plot-level maize yield regressions consistently lend support to the inverse scale-productivity relationship, the comparable regressions estimated with maize yields based on sub-plot crop cutting, full-plot crop cutting, and remote sensing point toward constant returns to scale, at the mean as well as throughout the distributions of objective measures of maize yield. In deriving the much-debated coefficient for GPS-based plot area, the maize yield regressions control for objective measures of soil fertility, maize genetic heterogeneity, and edge effects at the plot level; a rich set of plot, household, and plot manager attributes; as well as time-invariant household- and parcel-level unobserved heterogeneity in select specifications that exploit the panel nature of the data. The core finding is driven by persistent overestimation of farmer-reported maize production and yield vis-a-vis their crop cutting-based counterparts, particularly in the lower half of the plot area distribution. Although the results contribute to a larger, and renewed, body of literature questioning the inverse scale-productivity relationship based on omitted explanatory variables or alternative formulations of the agricultural productivity measure, the paper is among the first documenting how the inverse relationship could be a statistical artifact, driven by errors in farmer-reported survey data on crop production
    DOI: 10.1596/1813-9450-8192
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Online Resource
    Online Resource
    Eyes in the sky, boots on the ground : assessing satellite- and ground-based approaches to crop yield measurement and analysis in Uganda (2018)
    Washington, D.C. : World Bank Group, Development Economics, Development Data Group
    Details
    Language: English
    Pages: 1 Online-Ressource (circa 29 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8374
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Lobell, David B Eyes in the Sky, Boots on the Ground: Assessing Satellite- and Ground-Based Approaches to Crop Yield Measurement and Analysis in Uganda
    Keywords: Mais ; Ernteertrag ; Satellitenkommunikation ; Kleinbauern ; Uganda ; Graue Literatur
    Abstract: Crop yields in smallholder systems are traditionally assessed using farmer-reported information in surveys, occasionally by crop cuts for a sub-section of a farmer's plot, and rarely using full-plot harvests. Accuracy and cost vary dramatically across methods. In parallel, satellite data is improving in terms of spatial, temporal, and spectral resolution needed to discern performance on smallholder plots. This study uses data from a survey experiment in Uganda, and evaluates the accuracy of Sentinel-2 imagery-based, remotely-sensed plot-level maize yields with respect to ground-based measures relying on farmer self-reporting, sub-plot crop cutting (CC), and full-plot crop cutting (FP). Remotely-sensed yields include two versions calibrated to FP and CC yields (calibrated), and an alternative based on crop model simulations, using no ground data (uncalibrated). On the ground, self-reported yields explained less than 1 percent of FP (and CC) yield variability, and while the average difference between CC and FP yields was not significant, CC yields captured one-quarter of FP yield variability. With satellite data, both calibrated and uncalibrated yields captured FP yield variability on pure stand plots similarly well, and both captured half of FP yield variability on pure stand plots above 0.10 hectare. The uncalibrated yields were consistently 1 ton per hectare higher than FP or CC yields, and the satellite-based yields were less well correlated with the ground-based measures on intercropped plots compared with pure stand ones. Importantly, regressions using CC, FP and remotely-sensed yields as dependent variables all produced very similar coefficients for yield response to production factors
    DOI: 10.1596/1813-9450-8374
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Deutschlandweit zugänglich
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  • 3
    Online Resource
    Online Resource
    Non-Labor Input Quality and Small Farms in Sub-Saharan Africa : A Review (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (30 pages)
    Parallel Title: Erscheint auch als Michelson, Hope Non-Labor Input Quality and Small Farms in Sub-Saharan Africa: A Review
    Keywords: Agribusiness ; Agricultural Inputs ; Agricultural Productivity ; Agricultural Research ; Agricultural Sector Economics ; Agriculture ; Crops and Crop Management Systems ; Economic Returns of Farms ; Fertilizer Quality ; Food Security ; Household Survey Data Review ; Low-Income Farmers ; Pesticide Quality Issues ; Smallholders
    Abstract: Adoption of non-labor agricultural inputs, including pesticides and mineral fertilizers, remains low among small-scale farmers in many low-income countries. Accurate measurement of the quality of these inputs and of quantities deployed is essential for assessing economic returns, understanding the drivers of agricultural productivity, and proposing and evaluating policies for increasing agricultural production. Reviewing evidence regarding the quality of mineral fertilizers and pesticides available to small farmers in Sub-Saharan Africa, this paper summarizes four key findings. First, the available evidence on non-labor input quality to date centers mostly on urea fertilizer and glyphosate herbicide, with limited assessment of other important inputs, including multi-nutrient fertilizers. Second, the evidence shows that nitrogen shortages are exceedingly rare for urea, although quality problems are more common in fertilizer blends including nitrogen, phosphorous, and potassium blends, as well as diammonium phosphate, and in glyphosate herbicide. Third, although nutrient shortages in nitrogen, phosphorous, and potassium fertilizer blends and diammonium phosphate fertilizer blends are likely attributable to problems with manufacturing and storage, problems with available herbicides could be due to manufacturing issues, counterfeiting, or adulteration. Fourth, although farmers are broadly suspicious of the quality of mineral fertilizer and pesticides, evidence from several studies suggests that these beliefs do not reflect lab-based assessments of quality. In light of these findings, this paper recommends best practices for evaluation of non-labor input quality and summarizes research evaluating farmer assessment of fertilizer and pesticide quality. The paper concludes by identifying key evidentiary gaps related to measuring non-labor agricultural input quality and use, and recommends specific topics for future research
    DOI: 10.1596/1813-9450-10092
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Measuring Land Tenure at the Individual Level : Lessons from Methodological Research in Armenia (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (26 pages)
    Parallel Title: Erscheint auch als Gourlay, Sydney Measuring Land Tenure at the Individual Level: Lessons from Methodological Research in Armenia
    Keywords: Access To Finance ; Female Land Tenure Inequity ; Finance and Development ; Household Surveys ; Individual Land Rights ; Land Ownership ; Land Tenure ; Resilience To Economic Shock ; Rural Development ; Rural Land Policies for Poverty Reduction ; SDGS ; Sustainable Development Goals ; Finance and Financial Sector Development
    Abstract: Evidence indicates that land rights are strongly associated with several indicators of well-being and development outcomes, including access to credit, resilience to shocks, productivity, and bargaining power. Accurately capturing gender differences in land rights is thus critical for development policy, prompting the need to shift from household-level land rights data collection to collecting more and better individual-level data on land rights. The importance of individual land rights has been recognized in the Sustainable Development Goals (SDG) agenda, with the inclusion of two key indicators on land rights-SDG indicators 1.4.2 and 5.a.1. Although clear guidance exists for computing and monitoring these, the choice of data collection methods may influence the resulting indicators and the understanding of the underlying land rights. Specifically, research has shown that the use of proxy respondents in the collection of data on assets, including land, results in a biased understanding of men's and women's holdings vis-a-vis self-reporting. This paper uses data from a methodological experiment in Armenia to assess the implications of survey design-Snamely, respondent strategy and the level of disaggregation of land data-Son the measurement of individual land rights and SDG indicator monitoring. The findings suggest that in the context of Armenia, the measurement of SDG 5.a.1 and 1.4.2 (a) is robust to respondent approach and data disaggregation level, driven largely by the high rates of documentation. Meanwhile, land rights that are less objective, such as the right to bequeath and perception of tenure security, are sensitive to these survey design choices
    DOI: 10.1596/1813-9450-10140
    URL: lizenzpflichtig
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  • 5
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    Online Resource
    Is Dirt Cheap? : The Economic Costs of Failing to Meet Soil Health Requirements on Smallholder Farms (2022)
    Washington, D.C : The World Bank
    Details
    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
    DOI: 10.1596/1813-9450-10108
    URL: lizenzpflichtig
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  • 6
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    Online Resource
    From Necessity to Opportunity : Lessons for Integrating Phone and in-Person Data Collection for Agricultural Statistics in a Post-Pandemic World (2022)
    Washington, D.C : The World Bank
    Details
    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
    DOI: 10.1596/1813-9450-10168
    URL: lizenzpflichtig
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  • 7
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    Online Resource
    Cheaper, Faster, and More Than Good Enough : Is GPS the New Gold Standard in Land Area Measurement? (2016)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (50 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Carletto, Calogero Cheaper, Faster, and More Than Good Enough: Is GPS the New Gold Standard in Land Area Measurement?
    Abstract: In rural societies of low- and middle-income countries, land is a major measure of wealth, a critical input in agricultural production, and a key variable for assessing agricultural performance and productivity. In the absence of cadastral information to refer to, measures of land plots have historically been taken with one of two approaches: traversing (accurate, but cumbersome), and farmers' self-report (cheap, but marred by measurement error). Recently, the advent of cheap handheld GPS devices has held promise for balancing cost and precision. Guided by purposely collected primary data from Ethiopia, Nigeria, and Tanzania (Zanzibar), and with consideration for practical household survey implementation, the paper assesses the nature and magnitude of measurement error under different measurement methods and proposes a set of recommendations for plot area measurement. The results largely point to the support of GPS measurement, with simultaneous collection of farmer self-reported areas
    DOI: 10.1596/1813-9450-7759
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 8
    Online Resource
    Online Resource
    Land Measurement Bias and its Empirical Implications : Evidence from a Validation Exercise (2016)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (31 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Dillon, Andrew Land Measurement Bias and its Empirical Implications : Evidence from a Validation Exercise
    Abstract: This paper investigates how land size measurements vary across three common land measurement methods (farmer estimated, Global Positioning System (GPS), and compass and rope), and the effect of land size measurement error on the inverse farm size relationship and input demand functions. The analysis utilizes plot-level ata from the second wave of the Nigeria General Household Survey Panel, as well as a supplementary land validation survey covering a subsample of General Household Survey Panel plots. Using this data, both GPS and self-reported farmer estimates can be compared with the gold standard compass and rope measurements on the same plots. The findings indicate that GPS measurements are more reliable than farmer estimates, where self-reported measurement bias leads to over-reporting land sizes of small plots and under-reporting of large plots. The error observed across land measurement methods is nonlinear and results in biased estimates of the inverse land size relationship. Input emand functions that rely on self-reported land measures significantly underestimate the effect of land on input utilization, including fertilizer and household labor
    DOI: 10.1596/1813-9450-7597
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 9
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    Online Resource
    Collecting the Dirt on Soils : Advancements in Plot-Level Soil Testing and Implications for Agricultural Statistics (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (33 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Carletto, Calogero Collecting the Dirt on Soils: Advancements in Plot-Level Soil Testing and Implications for Agricultural Statistics
    Abstract: Much of the current analysis on agricultural productivity is hampered by the lack of consistent, high quality data on soil health and how it is changing under past and current management. Historically, plot-level statistics derived from household surveys have relied on subjective farmer assessments of soil quality or, more recently, publicly available geospatial data. The Living Standards Measurement Study of the World Bank implemented a methodological study in Ethiopia, which resulted in an unprecedented data set encompassing a series of subjective indicators of soil quality as well as spectral soil analysis results on plot-specific soil samples for 1,677 households. The goals of the study, which was completed in partnership with the World Agroforestry Centre and the Central Statistical Agency of Ethiopia, were twofold: (1) evaluate the feasibility of integrating a soil survey into household socioeconomic data collection operations, and (2) evaluate local knowledge of farmers in assessing their soil quality. Although a costlier method than subjective assessment, the integration of spectral soil analysis in household surveys has potential for scale-up. In this study, the first large scale study of its kind, enumerators spent approximately 40 minutes per plot collecting soil samples, not a particularly prohibitive figure given the proper timeline and budget. The correlation between subjective indicators of soil quality and key soil properties, such as organic carbon, is weak at best. Evidence suggests that farmers are better able to distinguish between soil qualities in areas with greater variation in soil properties. Descriptive analysis shows that geospatial data, while positively correlated with laboratory results and offering significant improvements over subject assessment, fail to capture the level of variation observed on the ground. The results of this study give promise that soil spectroscopy could be introduced into household panel surveys in smallholder agricultural contexts, such as Ethiopia, as a rapid and cost-effective soil analysis technique with valuable outcomes. Reductions in uncertainties in assessing soil quality and, hence, improvements in smallholder agricultural statistics, enable better decision-making
    DOI: 10.1596/1813-9450-8057
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 10
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    Online Resource
    From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis (2013)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (29 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Carletto, Calogero From Guesstimates to GPStimates
    Abstract: Land area measurement is a fundamental component of agricultural statistics and analysis. Yet, commonly employed self-reported land area measures used in most analysis are not only potentially measured with error, but these errors may be correlated with agricultural outcomes. Measures employing Global Positioning Systems, on the other hand, while not perfect especially on smaller plots, are likely to provide more precise measures and errors less correlated with agricultural outcomes. This paper uses data from four African countries to compare the use of self-reported and Global Positioning Systems land measures to (1) examine the differences between the measures, (2) identify the sources of the differences, and (3) assess the implications of the different measures on agricultural analysis focusing on the inverse productivity relationship. The results indicate that self-reported land areas systematically differ from Global Positioning Systems land measures and that this difference leads to potentially biased estimates of the relationship between land and productivity
    DOI: 10.1596/1813-9450-6550
    URL: Volltext  (Deutschlandweit zugänglich)
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