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  • 1
    Online Resource
    Online Resource
    Estimating Local Agricultural GDP across the World (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (43 pages)
    Parallel Title: Erscheint auch als Blankespoor, Brian Estimating Local Agricultural GDP across the World
    Keywords: Agricultural Sector Economics ; Agriculture ; Crop Value ; Fishery Production ; Forestry Production ; Gross Domestic Product ; Hunting ; Livestock and Animal Husbandry ; Livestock Production ; Local Agriculture ; Macroeconomics and Economic Growth ; Natural Hazards ; Night Time Lights ; Spatial Allocation Model ; Statistics
    Abstract: Economic statistics are frequently produced at an administrative level such as the sub-national division. However, these measures may not adequately capture the local variation in the economic activities that is useful for analyzing local economic development patterns and the exposure to natural disasters. Agriculture GDP is a critical indicator for measurement of the primary sector, on which 60 percent of the world's population depends for their livelihoods. Through a data fusion method based on cross-entropy optimization, this paper disaggregates national and subnational administrative statistics of Agricultural GDP into a global gridded dataset at approximately 10 * 10 kilometers using satellite-derived indicators of the components that make up agricultural GDP, namely crop, livestock, fishery, hunting and timber production. The paper examines the exposure of areas with at least one extreme drought during 2000 to 2009 to agricultural GDP, where nearly 1.2 billion people live. The findings show an estimated USD 432 billion of agricultural GDP circa 2010
    DOI: 10.1596/1813-9450-10109
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Crop production, transport infrastructure, and agrobusiness nexus : evidence from Madagascar (2018)
    Washington, D.C. : World Bank Group, Transport and Digital Development Practice
    Details
    Language: English
    Pages: 1 Online-Ressource (circa 22 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8486
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Iimi, Atsushi Crop Production, Transport Infrastructure, and Agrobusiness Nexus: Evidence from Madagascar
    Keywords: Landwirtschaftlicher Betrieb ; Agroindustrie ; Produktivitätsentwicklung ; Verkehrsinfrastruktur ; Madagaskar ; Graue Literatur
    Abstract: The literature suggests a wide range of impacts of improved transport connectivity on agricultural growth. Still, the infrastructure-growth nexus remains somewhat mysterious, particularly in the African context, because many rural farmers do not have their own transport means. Using data from Madagascar, the paper reexamines the important roles of agrobusinesses. By applying the spatial autoregressive model, it is shown that proximity to input-oriented agrobusinesses, such as input dealers and equipment suppliers, is particularly important to increase rice production. Fertilizer and irrigation use is also found important, indicating the needs for intensification in rice production. Market accessibility is always found as a significant determinant: transport infrastructure connecting farmers and markets, especially the capital city, Antananarivo, is therefore important to develop and maintain
    DOI: 10.1596/1813-9450-8486
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Deutschlandweit zugänglich
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Generating gridded agricultural gross domestic product for Brazil : a comparison of methodologies (2019)
    [Washington, DC, USA] : World Bank Group, Development Economics, Development Data Group
    Details
    Language: English
    Pages: 1 Online-Ressource (circa 20 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8985
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Thomas, Timothy S Generating Gridded Agricultural Gross Domestic Product for Brazil: A Comparison of Methodologies
    Keywords: Graue Literatur
    Abstract: This paper examines two new methods to generate gridded agricultural Gross Domestic Product (GDP) and compares the results with a traditional method. In the case of Brazil, these two new methods of spatial disaggregation and cross-entropy outperform the prediction of agricultural GDP from the traditional method that distributes agricultural GDP using rural population. The paper finds that the best prediction method is spatial disaggregation using a regression approach for all the key crops and contributors to agricultural GDP. However, the issue of degrees of freedom is an important limiting factor, as the approach requires sufficient subnational data. The cross-entropy method with readily available spatially distributed crop, livestock, forest, and fish allocation far outperforms the traditional method, at least in the case of Brazil, and can operate with national- and/or subnational-level data
    DOI: 10.1596/1813-9450-8985
    URL: lizenzpflichtig
    URL: Deutschlandweit zugänglich
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  • 4
    Online Resource
    Online Resource
    Agriculture Production and Transport Infrastructure in East Africa : An Application of Spatial Autoregression (2015)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (43 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Iimi, Atsushi Agriculture Production and Transport Infrastructure in East Africa: An Application of Spatial Autoregression
    Abstract: Rural Development
    DOI: 10.1596/1813-9450-7281
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    Online Resource
    Online Resource
    Spatial Autocorrelation Panel Regression : Agricultural Production and Transport Connectivity (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (24 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Iimi, Atsushi Spatial Autocorrelation Panel Regression: Agricultural Production and Transport Connectivity
    Abstract: Spatial analysis in economics is becoming increasingly important as more spatial data and innovative data mining technologies are developed. Even in Africa, where data often crucially lack quality analysis, a variety of spatial data have recently been developed, such as highly disaggregated crop production maps. Taking advantage of the historical event that rail operations were ceased in Ethiopia, this paper examines the relationship between agricultural production and transport connectivity, especially port accessibility, which is mainly characterized by rail transport. To deal with endogeneity of infrastructure placement and autocorrelation in spatial data, the spatial autocorrelation panel regression model is applied. It is found that agricultural production decreases with transport costs to the port: the elasticity is estimated at -0.094 to -0.143, depending on model specification. The estimated autocorrelation parameters also support the finding that although farmers in close locations share a certain common production pattern, external shocks, such as drought and flood, have spillover effects over neighboring areas
    DOI: 10.1596/1813-9450-8089
    URL: Volltext  (Deutschlandweit zugänglich)
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    Online Resource
    MPI Ethno. Forsch.
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