Estimating Local Agricultural GDP across the World
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...
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| Format: | Working Paper |
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Washington, DC : World Bank
2022
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| Online Access: | http://documents.worldbank.org/curated/en/099044106272226657/IDU01132bffa0820e04b04095ed0bcc222744fdc http://hdl.handle.net/10986/37621 |
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okr-10986-376212022-07-06T05:10:35Z Estimating Local Agricultural GDP across the World Blankespoor, Brian Ru, Yating Wood-Sichra, Ulrike Thomas, Timothy S. You, Liangzhi Kalvelagen, Erwin GROSS DOMESTIC PRODUCT LOCAL AGRICULTURE CROP VALUE LIVESTOCK PRODUCTION FORESTRY PRODUCTION HUNTING FISHERY PRODUCTION STATISTICS SPATIAL ALLOCATION MODEL NATURAL HAZARDS NIGHT TIME LIGHTS 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 x 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 US$432 billion of agricultural GDP circa 2010. 2022-07-05T14:10:27Z 2022-07-05T14:10:27Z 2022-06 Working Paper http://documents.worldbank.org/curated/en/099044106272226657/IDU01132bffa0820e04b04095ed0bcc222744fdc http://hdl.handle.net/10986/37621 English en_US Policy Research Working Paper;10109 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC : World Bank Publications & Research :: Policy Research Working Paper Publications & Research World |
| repository_type |
Digital Repository |
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Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
GROSS DOMESTIC PRODUCT LOCAL AGRICULTURE CROP VALUE LIVESTOCK PRODUCTION FORESTRY PRODUCTION HUNTING FISHERY PRODUCTION STATISTICS SPATIAL ALLOCATION MODEL NATURAL HAZARDS NIGHT TIME LIGHTS |
| spellingShingle |
GROSS DOMESTIC PRODUCT LOCAL AGRICULTURE CROP VALUE LIVESTOCK PRODUCTION FORESTRY PRODUCTION HUNTING FISHERY PRODUCTION STATISTICS SPATIAL ALLOCATION MODEL NATURAL HAZARDS NIGHT TIME LIGHTS Blankespoor, Brian Ru, Yating Wood-Sichra, Ulrike Thomas, Timothy S. You, Liangzhi Kalvelagen, Erwin Estimating Local Agricultural GDP across the World |
| geographic_facet |
World |
| relation |
Policy Research Working Paper;10109 |
| description |
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 x 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 US$432 billion of agricultural
GDP circa 2010. |
| format |
Working Paper |
| author |
Blankespoor, Brian Ru, Yating Wood-Sichra, Ulrike Thomas, Timothy S. You, Liangzhi Kalvelagen, Erwin |
| author_facet |
Blankespoor, Brian Ru, Yating Wood-Sichra, Ulrike Thomas, Timothy S. You, Liangzhi Kalvelagen, Erwin |
| author_sort |
Blankespoor, Brian |
| title |
Estimating Local Agricultural GDP across the World |
| title_short |
Estimating Local Agricultural GDP across the World |
| title_full |
Estimating Local Agricultural GDP across the World |
| title_fullStr |
Estimating Local Agricultural GDP across the World |
| title_full_unstemmed |
Estimating Local Agricultural GDP across the World |
| title_sort |
estimating local agricultural gdp across the world |
| publisher |
Washington, DC : World Bank |
| publishDate |
2022 |
| url |
http://documents.worldbank.org/curated/en/099044106272226657/IDU01132bffa0820e04b04095ed0bcc222744fdc http://hdl.handle.net/10986/37621 |
| _version_ |
1764487546164740096 |