Florida, Richard () (MPI Rotman School of Management) Gulden, Tim () (Center for International and Security Studies at the University of Maryland School of Public Policy) Mellander, Charlotta () (Prosperity Institute of Scandinavia JIBS and CESIS)
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This paper uses a global dataset of nighttime light emissions to produce an objectively consistent set of mega-regions for the globe. We draw on high resolution population data to estimate the population of each of these regions. We then process the light data in combination with published estimates of national GDP to produce rough but useful estimates of the economic activity of each region. We also present estimates of technological and scientific innovation. We identify 40 mega-regions with economic output of more than $100 billion that produce 66 percent of world output and accounts for 85 percent of global innovation.
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Length: 30 pages Date of creation: 28 Apr 2008 Date of revision: Handle: RePEc:hhs:cesisp:0129
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