| Online-Ressource |
Verfasst von: | Diekert, Florian [VerfasserIn] ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
| Goeschl, Timo [VerfasserIn] ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
| König-Kersting, Christian [VerfasserIn] ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
Titel: | The behavioral economics of extreme event attribution |
Verf.angabe: | Florian Diekert, Timo Goeschl, Christian König-Kersting |
Verlagsort: | Heidelberg |
Verlag: | Heidelberg University, Department of Economics |
E-Jahr: | 2024 |
Jahr: | 24 Jan. 2024 |
Umfang: | 1 Online-Ressource ( 52 Seiten) |
Illustrationen: | Illustrationen |
Gesamttitel/Reihe: | AWI discussion paper series ; no. 741 (January 2024) |
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. |
DOI: | doi:10.11588/heidok.00034341 |
URL: | kostenfrei: Verlag: https://archiv.ub.uni-heidelberg.de/volltextserver/34341/7/Behavioral_Economics_Extreme_Event_Attribution_dp741_2024.pdf |
| kostenfrei: Resolving-System: https://doi.org/10.11588/heidok.00034341 |
| kostenfrei: Resolving-System: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-343416 |
| kostenfrei: Langzeitarchivierung Nationalbibliothek: https://d-nb.info/1317193482/34 |
| kostenfrei: Verlag: http://www.ub.uni-heidelberg.de/archiv/34341 |
| kostenfrei: Resolving-System: https://hdl.handle.net/10419/283527 |
| DOI: https://doi.org/10.11588/heidok.00034341 |
| 10419/283527 |
URN: | urn:nbn:de:bsz:16-heidok-343416 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Extreme event attribution |
| attribution science |
| behavioral change |
| cause dependence |
| online experiment |
Form-SW: | Graue Literatur |
K10plus-PPN: | 1879932830 |
Verknüpfungen: | → Übergeordnete Aufnahme |
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Lokale URL UB: | Zum Volltext |
¬The¬ behavioral economics of extreme event attribution / Diekert, Florian [VerfasserIn]; 24 Jan. 2024 (Online-Ressource)