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DOI10.1073/pnas.1911439117
Using gross ecosystem product (GEP) to value nature in decision making
Ouyang Z.; Ouyang Z.; Song C.; Song C.; Zheng H.; Zheng H.; Polasky S.; Polasky S.; Xiao Y.; Xiao Y.; Bateman I.J.; Liu J.; Liu J.; Ruckelshaus M.; Shi F.; Xiao Y.; Xu W.; Xu W.; Zou Z.; Zou Z.; Daily G.C.; Daily G.C.
发表日期2020
ISSN0027-8424
起始页码14593
结束页码14601
卷号117期号:25
英文摘要Gross 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 ecosystemservices make up nearly two-thirds of the value of GEP for Qinghai. Importantly most of these benefits accrue downstream. In Qinghai, GEP was greater than GDP in 2000 and three-fourths 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 transregional compensation payments. © 2020 National Academy of Sciences. All rights reserved.
英文关键词Ecosystem services; Environmental-economic accounting; GDP; Gross ecosystem product; Natural capital
语种英语
scopus关键词Article; carbon footprint; China; controlled study; country economic status; environmental decision making; environmental protection; gross national product; large scale production; physical well-being; priority journal; water quality; decision making; economic model; economics; ecosystem; sustainable development; China; Conservation of Natural Resources; Decision Making; Ecosystem; Models, Economic; Sustainable Development
来源期刊Proceedings of the National Academy of Sciences of the United States of America
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/160904
作者单位Ouyang, Z., State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Ouyang, Z., College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Song, C., State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Song, C., College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Zheng, H., State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Zheng, H., College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Polasky, S., Department of Applied Economics, University of Minnesota, St. Paul, MN 55108, United States; Polasky, S., Natural Capital Project, University of Minnesota, St. Paul, ...
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GB/T 7714
Ouyang Z.,Ouyang Z.,Song C.,et al. Using gross ecosystem product (GEP) to value nature in decision making[J],2020,117(25).
APA Ouyang Z..,Ouyang Z..,Song C..,Song C..,Zheng H..,...&Daily G.C..(2020).Using gross ecosystem product (GEP) to value nature in decision making.Proceedings of the National Academy of Sciences of the United States of America,117(25).
MLA Ouyang Z.,et al."Using gross ecosystem product (GEP) to value nature in decision making".Proceedings of the National Academy of Sciences of the United States of America 117.25(2020).
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