Data Publications

Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100)

hasData_Center_Short_Name
  • Deutsches GeoForschungsZentrum GFZ
hasDataset_Online_Resource
hasDataset_Release_Date
  • 2017
hasDataset_Title
  • Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100)
hasEntry_ID
  • 10.5880/pik.2017.007
hasKeyword
  • Gross Cell Product
  • Gross Domestic Product
  • Shared Socioeconomic Pathways
  • economic growth
  • statistical downscaling
hasSummary
  • We here provide spatially-explicit economic time series for Gross Cell Product (GCP) with global coverage in 10-year increments between 1850 and 2100 with a spatial resolution of 5 arcmin. GCP is based on a statistcal downscaling procedure that among other predictors uses national Gross Domestic Product (GDP) time series and gridded population estimates as input. Historical estimates until 2000 are harmonized with future socio-economic projections from the Shared Socioeconomic Pathways (SSPs) according to SSP2 from 2010 onwards. We further provide a mapping file with identical spatial resolution to associate GCP values with specifc countries. Based on this mapping we provide nationally aggregated GDP estimates between 1850-2100 in a separate csv-file. Additionally, we provide a mapping file with identical spatial resolution providing national assets-GDP ratios, that can be used to transform GCP to asset values based on 2016 estimates from Credit Suisse's Global Wealth Databook 2016.
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