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Estimating Local Agricultural GDP across the World

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  • Blankespoor,Brian
  • Ru,Yating
  • Wood-Sichra,Ulrike
  • Chambers,Thomas Timothy
  • You,Liangzhi
  • Kalvelagen,Erwin

Abstract

Economic statistics are frequently produced at an administrative level such as the sub-nationaldivision. However, these measures may not adequately capture the local variation in the economic activities that isuseful for analyzing local economic development patterns and the exposure to natural disasters. Agriculture GDP is acritical indicator for measurement of the primary sector, on which 60 percent of the world’s population depends for theirlivelihoods. Through a data fusion method based on cross-entropy optimization, this paper disaggregatesnational and subnational administrative statistics of Agricultural GDP into a global gridded dataset atapproximately 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 atleast one extreme drought during 2000 to 2009 to agricultural GDP, where nearly 1.2 billion people live. Thefindings show an estimated US$432 billion of agricultural GDP circa 2010.

Suggested Citation

  • Blankespoor,Brian & Ru,Yating & Wood-Sichra,Ulrike & Chambers,Thomas Timothy & You,Liangzhi & Kalvelagen,Erwin, 2022. "Estimating Local Agricultural GDP across the World," Policy Research Working Paper Series 10109, The World Bank.
    • Handle: RePEc:wbk:wbrwps:10109
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    References listed on IDEAS

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