GSTDTAP  > 气候变化
DOI10.1007/s10584-017-1968-2
Using population projections in climate change analysis
Rozell, Daniel
2017-06-01
发表期刊CLIMATIC CHANGE
ISSN0165-0009
EISSN1573-1480
出版年2017
卷号142
文章类型Article
语种英语
国家USA
英文摘要

The two leading sources of long-range population projections, the United Nations (UN) and the International Institute for Applied Systems Analysis (IIASA), currently disagree on the most likely end-of-the-century world population by over two billion people. Because climate change policy models are influenced by population uncertainty, this poses an underappreciated problem for analysts. Furthermore, long-range population projections have not been predictably stable over time and climate change policy models have not consistently used one set of population projections. This only increases the difficulty of comparing research results. Comparing the UN and IIASA population projections, the UN's probabilistic population projections should be used with caution as they tend to understate the uncertainty in long-range population forecasts. Currently, the IIASA scenario projections are better suited to long-range climate change policy analysis. As a final recommendation, a simple demographic sub-model is proposed for use in cost-benefit climate change integrated assessment models that performs better than current alternatives.


领域气候变化
收录类别SCI-E ; SSCI
WOS记录号WOS:000401452700016
WOS关键词URBANIZATION ; ENERGY ; TRENDS ; IMPACT
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/30112
专题气候变化
作者单位SUNY Stony Brook, Stony Brook, NY USA
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Rozell, Daniel. Using population projections in climate change analysis[J]. CLIMATIC CHANGE,2017,142.
APA Rozell, Daniel.(2017).Using population projections in climate change analysis.CLIMATIC CHANGE,142.
MLA Rozell, Daniel."Using population projections in climate change analysis".CLIMATIC CHANGE 142(2017).
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