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  • 1
    UID:
    almafu_9958246233802883
    Format: 1 online resource (69 pages)
    Series Statement: Policy research working papers.
    Content: Accelerating development in Sub-Saharan Africa will require massive expansion of access to electricity - currently reaching only about one-third of households. This paper explores how essential economic development might be reconciled with the need to keep carbon emissions in check. The authors develop a geographically explicit framework and use spatial modeling and cost estimates from recent engineering studies to determine where stand-alone renewable energy generation is a cost effective alternative to centralized grid supply. The results suggest that decentralized renewable energy will likely play an important role in expanding rural energy access. But it will be the lowest cost option for a minority of households in Africa, even when likely cost reductions over the next 20 years are considered. Decentralized renewables are competitive mostly in remote and rural areas, while grid connected supply dominates denser areas where the majority of households reside. These findings underscore the need to de-carbonize the fuel mix for centralized power generation as it expands in Africa.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    UID:
    almafu_9959833875902883
    Format: 1 online resource (43 pages)
    Series Statement: Policy research working papers.
    Content: With the surge in publicly available high-resolution satellite imagery, satellite-based monitoring of smallholder agricultural outcomes is gaining momentum. This paper provides recommendations on how large-scale household surveys should be conducted to generate the data needed to train models for satellite-based crop type mapping in smallholder farming systems. The analysis focuses on maize cultivation in Malawi and Ethiopia, and leverages rich, georeferenced plot-level data from national household surveys that were conducted in 2018-20 and that are integrated with Sentinel-2 satellite imagery and complementary geospatial data. To identify the approach to survey data collection that yields optimal data for training remote sensing models, 26,250 in silico experiments are simulated within a machine learning framework. The best model is then applied to map seasonal maize cultivation from 2016 to 2019 at 10-meter resolution in both countries. The analysis reveals that smallholder plots with maize cultivation can be identified with up to 75 percent accuracy. However, the predictive accuracy varies with the approach to georeferencing plot locations and the number of observations in the training data. Collecting full plot boundaries or complete plot corner points provides the best quality of information for model training. Classification performance peaks with slightly less than 60 percent of the training data. Seemingly small erosion in accuracy under less preferable approaches to georeferencing plots results in total area under maize cultivation being overestimated by 0.16 to 0.47 million hectares (8 to 24 percent) in Malawi.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    almafu_9958143925402883
    Format: 1 online resource (50 pages)
    Series Statement: Policy research working papers.
    Content: 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.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 4
    UID:
    almafu_9960786869302883
    Format: 1 online resource (151 pages)
    Series Statement: Policy research working papers.
    Content: This paper quantifies the significance and magnitude of the effect of measurement error in remote sensing weather data in the analysis of smallholder agricultural productivity. The analysis leverages 17 rounds of nationally-representative, panel household survey data from six countries in Sub-Saharan Africa. These data are spatially linked with a range of geospatial weather data sources and related metrics. The paper provides systematic evidence on measurement error introduced by (1) different methods used to obfuscate the exact GPS coordinates of households, (2) different metrics used to quantify precipitation and temperature, and (3) different remote sensing measurement technologies. First, the analysis finds no discernible effect of measurement error introduced by different obfuscation methods. Second, it finds that simple weather metrics, such as total seasonal rainfall and mean daily temperature, outperform more complex metrics, such as deviations in rainfall from the long-run average or growing degree days, in a broad range of settings. Finally, the analysis finds substantial amounts of measurement error based on remote sensing products. In extreme cases, the data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature drawn from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. The paper concludes with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 5
    UID:
    almafu_9960054845102883
    Format: 1 online resource (49 pages)
    Series Statement: Policy research working papers.
    Content: Between 2014 and 2016 unprecedented and consecutive climatic shocks ravaged Malawi, one of the poorest countries in the world. The largest ever emergency relief operation in the country's history ensued. The pathways and extent to which the humanitarian response protected livelihoods remain under researched. This paper uses a unique data set that combines longitudinal household survey data with GIS-based measures of weather shocks and climate conditions and longitudinal administrative data on the World Food Programme's aid distribution. The paper aims to understand the drivers of humanitarian aid and evaluate the impact of aid and weather shocks on outcomes related to household production and consumption in Malawi. The analysis shows that droughts and floods had consistent negative impacts on a range of welfare outcomes, particularly for households that were subject to sequential shocks. Aid receipt is demonstrated to attenuate such impacts, again particularly for households that experienced the shocks consecutively. Households living in areas subject to a weather shock and with higher World Food Programme aid distribution were more likely to receive food aid, partially explaining the success of aid in mitigating the impacts of shocks. However, there is significant scope for improving the criteria for targeting humanitarian aid beneficiaries.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 6
    UID:
    almafu_9958143907202883
    Format: 1 online resource (33 pages)
    Series Statement: Policy research working papers.
    Content: The collection of survey data from war zones or other unstable security situations is vulnerable to error because conflict often limits the implementation options. Although there are elevated risks throughout the process, this paper focuses specifically on challenges to frame construction and sample selection. The paper uses simulations based on data from the Mogadishu High Frequency Survey Pilot to examine the implications of the choice of second-stage selection methodology on bias and variance. Among the other findings, the simulations show the bias introduced by a random walk design leads to the underestimation of the poverty headcount by more than 10 percent. The paper also discusses the experience of the authors in the time required and technical complexity of the associated back-office preparation work and weight calculations for each method. Finally, as the simulations assume perfect implementation of the design, the paper also discusses practicality, including the ease of implementation and options for remote verification, and outlines areas for future research and pilot testing.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 7
    UID:
    almafu_9958246587002883
    Format: 1 online resource (25 pages)
    Series Statement: Policy research working papers.
    Content: Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect because of the nomadic and semi-nomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. This study explores the use of a random geographic cluster sample as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. The results of a random geographic cluster sample survey are presented with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. The paper explores the data quality of the random geographic cluster sample relative to a recent household survey and discusses the implementation challenges.
    Language: English
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  • 8
    UID:
    almafu_9958246581302883
    Format: 1 online resource (36 pages)
    Series Statement: Policy research working papers.
    Content: Diversification into high-value cash crops among smallholders has been propagated as a strategy to improve welfare in rural areas. However, the extent to which cash crop production spurs projected gains remains an under-researched question, especially in the context of market imperfections leading to non-separable production and consumption decisions, and price shocks to staple crops that might be displaced on the farm by cash crops. This study is a contribution to the long-standing debate on the links between commercialization and nutrition. It uses nationally-representative household survey data from Malawi, and estimates the effect of household adoption of an export crop, namely tobacco, on child height-for-age z-scores. Given the endogenous nature of household tobacco adoption, the analysis relies on instrumental variable regressions, and isolates the causal effect by comparing impact estimates informed by two unique samples of children that differ in their exposure to an exogenous domestic staple food price shock during the early child development window (from conception through two years of age). The analysis finds that household tobacco production in the year of or the year after child birth, combined with exposure to an exogenous domestic staple food price shock, lowers the child height-for-age z-score by 1.27, implying a 70-percent drop in z-score. The negative effect is, however, not statistically significant among children who were not exposed to the same shock. The results put emphasis on the food insecurity and malnutrition risks materializing at times of high food prices, which might have disproportionately adverse effects on uninsured cash crop producers.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 9
    UID:
    almafu_9960819735702883
    Format: 1 online resource (26 pages)
    Content: The paper studies the dynamics of agricultural land use at the global scale as measured from space using satellite imagery between 2003 and 2018. It shows large global movements in and out of cropland and correlates these movements with biophysical, economic, and institutional variables. The empirical identification of these effects relies on a two-stage approach that disentangles the effect of local geography from national-level characteristics. The paper finds that weak land governance, inequality, and pressure on land resources contribute to land degradation but are less able to explain movements into cropland which could more likely reflect national policies.
    Language: English
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  • 10
    UID:
    almafu_9958975986602883
    Format: 1 online resource (43 pages)
    Series Statement: Policy research working papers.
    Content: This paper studies the impact of transport infrastructure projects of the Belt and Road Initiative on shipment times and trade costs. Based on a new data on completed and planned Belt and Road transport projects, Geographic Information System analysis is used to estimate shipment times before and after the Belt and Road Initiative. Two sets of data are computed to address different research questions: a global database based on an analysis of 1,000 cities in 191 countries and 47 sectors and a regional database that focuses on more granular information (1,818 cities) for Belt and Road economies only. The paper uses sectoral estimates of "value of time" to transform changes in shipment times into changes in ad valorem trade costs at the country-sector level. The findings show that the Belt and Road Initiative will significantly reduce shipment times and trade costs. For the world, the average reduction in shipment time will range between 1.2 and 2.5 percent, leading to reduction of aggregate trade costs between 1.1 and 2.2 percent. For Belt and Road economies, the change in shipment times and trade costs will range between 1.7 and 3.2 percent and 1.5 and 2.8 percent, respectively. Belt and Road economies located along the corridors where projects are built experience the largest gains. Shipment times along these corridors decline by up to 11.9 percent and trade costs by up to 10.2 percent. The paper also shows that these effects are magnified by policy reforms that reduce border delays and improve corridor management.
    Language: English
    URL: Volltext  (kostenfrei)
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