| |  Online-Ressource |
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| Verfasst von: | Diekert, Florian [VerfasserIn]  |
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| | Goeschl, Timo [VerfasserIn] |
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| | König-Kersting, Christian [VerfasserIn] |
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| Titel: | The behavioral economics of extreme event attribution |
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| Verf.angabe: | Florian Diekert, Timo Goeschl, Christian König-Kersting |
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| Verlagsort: | Heidelberg |
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| Verlag: | Heidelberg University, Department of Economics |
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| E-Jahr: | 2024 |
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| Jahr: | 24 Jan. 2024 |
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| Umfang: | 1 Online-Ressource ( 52 Seiten) |
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| Illustrationen: | Illustrationen |
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| Gesamttitel/Reihe: | AWI discussion paper series ; no. 741 (January 2024) |
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| Abstract: | Can Attribution Science, a method for quantifying - ex post - humanity's contribution to adverse climatic events, induce pro-environmental behavioral change? We conduct a conceptual test of this question by studying, in an online experiment with 3,031 participants, whether backwards-looking attribution affects future decisions, even when seemingly uninformative to a consequentialist decision-maker. By design, adverse events can arise as a result of participants' pursuit of higher payoffs (anthropogenic cause) or as a result of chance (natural cause). Treatments vary whether adverse events are causally attributable and whether attribution can be acquired at cost. We find that ex-post attributability is behaviorally relevant: Attribution to an anthropogenic cause reduces future anthropogenic stress and leads to fewer adverse events compared to no attributability and compared to attribution to a natural cause. Average willingness-to-pay for ex-post attribution is positive. The conjecture that Attribution Science can be behaviorally impactful and socially valuable has empirical merit. |
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| DOI: | doi:10.11588/heidok.00034341 |
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| URL: | kostenfrei: Verlag: https://archiv.ub.uni-heidelberg.de/volltextserver/34341/7/Behavioral_Economics_Extreme_Event_Attribution_dp741_2024.pdf |
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| | kostenfrei: Resolving-System: https://doi.org/10.11588/heidok.00034341 |
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| | kostenfrei: Resolving-System: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-343416 |
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| | kostenfrei: Langzeitarchivierung Nationalbibliothek: https://d-nb.info/1317193482/34 |
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| | kostenfrei: Verlag: http://www.ub.uni-heidelberg.de/archiv/34341 |
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| | kostenfrei: Resolving-System: https://hdl.handle.net/10419/283527 |
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| | DOI: https://doi.org/10.11588/heidok.00034341 |
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| | 10419/283527 |
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| URN: | urn:nbn:de:bsz:16-heidok-343416 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Extreme event attribution |
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| | attribution science |
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| | behavioral change |
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| | cause dependence |
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| | online experiment |
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| Form-SW: | Graue Literatur |
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| K10plus-PPN: | 1879932830 |
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| Verknüpfungen: | → Übergeordnete Aufnahme |
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| Lokale URL UB: |  Zum Volltext |
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¬The¬ behavioral economics of extreme event attribution / Diekert, Florian [VerfasserIn]; 24 Jan. 2024 (Online-Ressource)
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