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dc.contributor.authorOuyang, Z
dc.contributor.authorSong, C
dc.contributor.authorZheng, H
dc.contributor.authorPolasky, S
dc.contributor.authorXiao, Y
dc.contributor.authorBateman, IJ
dc.contributor.authorLiu, J
dc.contributor.authorRuckelshaus, M
dc.contributor.authorXiao, Y
dc.contributor.authorXu, W
dc.contributor.authorZou, Z
dc.contributor.authorDaily, GC
dc.date.accessioned2020-03-16T16:38:29Z
dc.date.issued2020-06-08
dc.description.abstractGross Domestic Product (GDP) summarizes a vast amount of economic information in a single monetary metric that is widely used by decision-makers around the world. However, GDP fails to capture fully the contributions of nature to economic activity and human well-being. To address this critical omission, we develop a measure of Gross Ecosystem Product (GEP) that summarizes the value of ecosystem services in a single monetary metric. We illustrate the measurement of GEP through an application to the Chinese province of Qinghai, showing that the approach is tractable using available data. Known as the “water tower of Asia,” Qinghai is the source of the Mekong, Yangtze, and Yellow Rivers, and indeed, we find that water-related ecosystem services make up nearly twothirds of the value of GEP for Qinghai. Importantly most of these benefits accrue downstream. In Qinghai, GEP was greater than GDP in 2000 and 3/4th as large as GDP in 2015 as its market economy grew. Large-scale investment in restoration resulted in improvements in the flows of ecosystem services measured in GEP (127.5%) over this period. Going forward, China is using GEP in decision-making in multiple ways, as part of a transformation to inclusive, green growth. This includes investing in conservation of ecosystem assets to secure provision of ecosystem services through trans-regional compensation payments.en_GB
dc.identifier.citationPublished online 8 June 2020
dc.identifier.doi10.1073/pnas.1911439117
dc.identifier.urihttp://hdl.handle.net/10871/120272
dc.language.isoenen_GB
dc.publisherNational Academy of Sciencesen_GB
dc.rights© 2020 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
dc.titleUsing gross ecosystem product (GEP) to value nature in decision makingen_GB
dc.typeArticleen_GB
dc.date.available2020-03-16T16:38:29Z
dc.identifier.issn0027-8424
dc.descriptionThis is the final version. Available on open access from the National Academy of Sciences via the DOI in this recorden_GB
dc.identifier.journalProceedings of the National Academy of Sciences (PNAS)en_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2020-03-16
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-03-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-03-16T15:25:50Z
refterms.versionFCDAM
refterms.dateFOA2020-06-17T13:18:22Z
refterms.panelCen_GB


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© 2020 the Author(s). Published by PNAS.
This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Except where otherwise noted, this item's licence is described as © 2020 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).