On the Nature of Things: Designing Macroeconomic Scenarios of Nature-related risks for France
Lauriane Benoist,
Stéphane Dees,
Elise Kremer,
Clément Payerols and
Oriane Wegner
Working papers from Banque de France
Abstract:
This paper explores the macroeconomic implications of nature-related risks for France through a forward-looking scenario analysis. We first identify and prioritize key nature-related shocks with potential macroeconomic relevance. Using a multi-country semi-structural model, we then design two illustrative scenarios: one focused on water-related shocks - combining chronic scarcity, declining quality, and acute disruptions - and another on agricultural shocks, including domestic yield losses and a multiple breadbasket failure. The simulations suggest that both scenarios generate material impacts on economic activity and inflation in France. Water-related shocks lead to a stagflationary episode marked by a sharp and persistent decline in output and rising prices, while agricultural shocks result in deeper output losses due to global spillovers and food price surges. These findings highlight the macro-economic relevance of nature-related risks and call for further work on their implications for financial stability.
Keywords: Nature-related risks; Ecosystem services; Macro-economic modeling; Scenario analysis (search for similar items in EconPapers)
JEL-codes: C68 E32 Q54 (search for similar items in EconPapers)
Pages: 47 pages
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.banque-france.fr/system/files/2026-05/WP1046.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bfr:banfra:1046
Access Statistics for this paper
More papers in Working papers from Banque de France Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS. Contact information at EDIRC.
Bibliographic data for series maintained by Michael brassart ().