Estimating local agricultural gross domestic product (AgGDP) across the world
نویسندگان
چکیده
Abstract. Economic statistics are frequently produced at an administrative level such as the subnational division. However, these measures may lack sufficient local variation for effective analysis of economic development patterns and exposure to natural hazards. Agricultural gross domestic product (GDP) is a critical indicator measurement primary sector, on which more than 2.5 billion people depend their livelihoods, it provides key source income entire household (FAO, 2021). Through data-fusion method based cross-entropy optimization, this paper disaggregates national agricultural GDP into global gridded dataset approximately 10×10 km year 2010 using satellite-derived indicators components that make up GDP, i.e., crop, livestock, fishery, hunting forestry production. To illustrate use new dataset, estimates areas with least one extreme drought during 2000 2009 amounts around USD 432 circa 2010, nearly 1.2 living in those areas. The data available World Bank Development Data Hub (https://doi.org/10.57966/0j71-8d56; IFPRI Bank, 2022).
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ژورنال
عنوان ژورنال: Earth System Science Data
سال: 2023
ISSN: ['1866-3516', '1866-3508']
DOI: https://doi.org/10.5194/essd-15-1357-2023