DOI: 10.1080/14693062.2017.1373623
Scopus记录号: 2-s2.0-85032700586
论文题名: The accountability imperative for quantifying the uncertainty of emission forecasts: evidence from Mexico
作者: Puig D ; , Morales-Nápoles O ; , Bakhtiari F ; , Landa G
刊名: Climate Policy
ISSN: 1469-3062
EISSN: 1752-7457
出版年: 2017
起始页码: 1
结束页码: 10
语种: 英语
英文关键词: Accountability
; emission-reduction targets
; gross domestic product growth rates
; projections
; structured expert judgement
; uncertainty
Scopus学科分类: nvironmental Science: General Environmental Science
; Earth and Planetary Sciences: Atmospheric Science
英文摘要: Governmental climate change mitigation targets are typically developed with the aid of forecasts of greenhouse-gas (GHG) emissions. The robustness and credibility of such forecasts depends, among other issues, on the extent to which forecasting approaches can reflect prevailing uncertainties. We apply a transparent and replicable method to quantify the uncertainty associated with projections of gross domestic product growth rates for Mexico, a key driver of GHG emissions in the country. We use those projections to produce probabilistic forecasts of GHG emissions for Mexico. We contrast our probabilistic forecasts with Mexico’s governmental deterministic forecasts. We show that, because they fail to reflect such key uncertainty, deterministic forecasts are ill-suited for use in target-setting processes. We argue that (i) guidelines should be agreed upon, to ensure that governmental forecasts meet certain minimum transparency and quality standards, and (ii) governments should be held accountable for the appropriateness of the forecasting approach applied to prepare governmental forecasts, especially when those forecasts are used to derive climate change mitigation targets. POLICY INSIGHTSNo minimum transparency and quality standards exist to guide the development of GHG emission scenario forecasts, not even when these forecasts are used to set national climate change mitigation targets.No accountability mechanisms appear to be in place at the national level to ensure that national governments rely on scientifically sound processes to develop GHG emission scenarios.Using probabilistic forecasts to underpin emission reduction targets represents a scientifically sound option for reflecting in the target the uncertainty to which those forecasts are subject, thus increasing the validity of the target.Setting up minimum transparency and quality standards, and holding governments accountable for their choice of forecasting methods could lead to more robust emission reduction targets nationally and, by extension, internationally. © 2017 Informa UK Limited, trading as Taylor & Francis Group Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80248
Appears in Collections: 科学计划与规划
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作者单位: Technical University of Denmark, Copenhagen Ø, Denmark; Delft University of Technology, Delft, The Netherlands; Observatoire Français des Conjonctures Économiques, Paris, France
Recommended Citation:
Puig D,, Morales-Nápoles O,, Bakhtiari F,et al. The accountability imperative for quantifying the uncertainty of emission forecasts: evidence from Mexico[J]. Climate Policy,2017-01-01