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  Faster than politics – Policy forecasting ahead of government formation?

Sprinz, D. F., Krott, M. (2026): Faster than politics – Policy forecasting ahead of government formation? - Forest Policy and Economics, 182, 103683.
https://doi.org/10.1016/j.forpol.2025.103683

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 Creators:
Sprinz, Detlef F.1, Author                 
Krott, Max2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Will a new government potentially formed in 2025 pursue different forest policies as compared to its predecessor? Using the German government formation in spring 2025 as an example, we employ a negotiations prediction model to forecast specific forest policies ahead of their coalition agreement. As compared to predictions about the policies of the immediately preceding government as of 2022, the scope for remuneration of forest carbon will be very mildly increased, the remuneration for forests adapted to climate change somewhat increased, and the predicted remuneration for forest conservation substantially reduced. We demonstrate that short-term policy predictions based on numeric negotiations models are feasible and outline the implications for the forest sector and science-based policy advice.

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Language(s): eng - English
 Dates: 2025-12-192026-01-01
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.forpol.2025.103683
MDB-ID: No data to archive
Model / method: Game Theory
Regional keyword: Germany
Research topic keyword: Forest
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Governance
 Degree: -

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Title: Forest Policy and Economics
Source Genre: Journal, SCI, SSCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 182 Sequence Number: 103683 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1872-7050
Publisher: Elsevier