Pii: S0921-8009(02)00097-6

We estimated global marketed and non-marketed economic value from two classified satellite images with global coverage at 1 km resolution. GDP (a measure of marketed economic output) is correlated with the amount of light energy (LE) emitted by that nation as measured by nighttime satellite images. LE emitted is more spatially explicit than whole country GDP, may (for some nations or regions) be a more accurate indicator of economic activity than GDP itself, can be directly observed, and can be easily updated on an annual basis. As far as we know, this is the first global map of estimated economic activity produced at this high spatial resolution (1 km). Ecosystem services product (ESP) is an important type of non-marketed value. ESP at 1 km resolution was estimated using the IGBP land-cover dataset and unit ecosystem service values estimated by Costanza et al. [Valuing Ecosystem Services with Efficiency, Fairness and Sustainability as Goals. Nature’s Ser ices, Island Press, Washington DC, pp. 49–70]. The sum of these two (GDP+ESP)=SEP is a measure of the subtotal ecological–economic product (marketed plus a significant portion of the non-marketed). The ratio: (ESP/SEP)×100=%ESP is a measure of proportion of the SEP from ecosystem services. Both SEP and %ESP were calculated and mapped for each 1 km pixel on the earth’s surface, and aggregated by country. Results show the detailed spatial patterns of GDP, ESP, and SEP (also available at: http://www.du.edu/ psutton/esiindexisee/EcolEconESI.htm). Globally, while GDP is concentrated in the northern industrialized countries, ESP is concentrated in tropical regions and in wetlands and other coastal systems. %ESP ranges from 1% for Belgium and Luxembourg to 3% for the Netherlands, 18% for India, 22% for the United States, 49% for Costa Rica, 57% for Chile, 73% for Brazil, and 92% for Russia. While GDP per capita has the usual northern industrialized countries at the top of the list, SEP per capita shows a quite different picture, with a mixture of countries with either high GDP/capita, high ESP/capita, or a combination near the top of the list. Finally, we compare our results with two other indices: (1) The 2001 En ironmental Sustainability Index (ESI) derived as an This article is also available online at: www.elsevier.com/locate/ecolecon * Corresponding author. Tel.: +1-303-871-2399 E-mail addresses: [email protected] (P.C. Sutton), [email protected] (R. Costanza). 1 Tel.: +1-410-326-7263. 2 As of 09/01/2002, this author can be reached at the Gund Institute for Ecological Economics, University of Vermont, School of Natural Resources, George D. Aiken Center, Burlington VT 05405–0088, USA. 0921-8009/02/$ see front matter © 2002 Elsevier Science B.V. All rights reserved. PII: S0921-8009(02)00097-6 P.C. Sutton, R. Costanza / Ecological Economics 41 (2002) 509–527 510 initiative of the Global Leaders of Tomorrow Environment Task Force, World Economic Forum, and (2) Ecological Footprints of Nations: How much Nature do they use? How much Nature do they ha e? developed by Mathis Wackernagel and others. While both of these indices purport to measure sustainability, the ESI is actually mainly a measure of economic activity (and is correlated with GDP), while the Eco-Footprint index is a measure of environmental impact. The related eco-deficit (national ecological capacity minus national footprint) correlates well with %ESP. © 2002 Elsevier Science B.V. All rights reserved.