2013
DOI: 10.1007/s10584-013-1016-9
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Modeling adaptation as a flow and stock decision with mitigation

Abstract: An effective policy response to climate change will include, among other things, investments in lowering greenhouse gas emissions (mitigation), as well as short-term temporary (flow) and long-lived capital-intensive (stock) adaptation to climate change. A critical near-term question is how investments in reducing climate damages should be allocated across these elements of a climate policy portfolio, especially in the face of uncertainty in both future climate damages and also the effectiveness of yet-untested… Show more

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Cited by 11 publications
(2 citation statements)
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“…17 Felgenhauer and Webster studied the interactions among climate response portfolios for mitigation, short-term flow adaptation, and long-term stock adaptation and recommended directions for near-term policy decisions. 18 Energy infrastructure has grown greatly in China, and some have claimed that there is some redundancy. 19 The stocks in EIPs were mostly created after 1993.…”
Section: Introductionmentioning
confidence: 99%
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“…17 Felgenhauer and Webster studied the interactions among climate response portfolios for mitigation, short-term flow adaptation, and long-term stock adaptation and recommended directions for near-term policy decisions. 18 Energy infrastructure has grown greatly in China, and some have claimed that there is some redundancy. 19 The stocks in EIPs were mostly created after 1993.…”
Section: Introductionmentioning
confidence: 99%
“…Davis et al quantitatively assessed the relationship between climate change and cumulative CO 2 emissions from existing primary energy capital stock and identified a significant emission inertia in China due to the expansion trend of the stock . Felgenhauer and Webster studied the interactions among climate response portfolios for mitigation, short-term flow adaptation, and long-term stock adaptation and recommended directions for near-term policy decisions …”
Section: Introductionmentioning
confidence: 99%