English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Assessing effects of climate and technology uncertainties in large natural resource allocation problems

Steinbuks, J., Cai, Y., Jägermeyr, J., Hertel, T. W. (2024): Assessing effects of climate and technology uncertainties in large natural resource allocation problems. - Geoscientific Model Development, 17, 4791-4819.
https://doi.org/10.5194/gmd-17-4791-2024

Item is

Files

show Files
hide Files
:
gmd-17-4791-2024.pdf (Publisher version), 3MB
Name:
gmd-17-4791-2024.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Steinbuks, Jevgenijs1, Author
Cai, Yongyang1, Author
Jägermeyr, Jonas2, Author              
Hertel, Thomas W.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: The productivity of the world's natural resources is critically dependent on a variety of highly uncertain factors, which obscure individual investors and governments that seek to make long-term, sometimes irreversible, investments in their exploration and utilization. These dynamic considerations are poorly represented in disaggregated resource models, as incorporating uncertainty into large-dimensional problems presents a challenging computational task. In this paper, we apply the SCEQ algorithm (Cai and Judd, 2023) to solve a large-scale dynamic stochastic global land resource use problem with stochastic crop yields due to adverse climate impacts and limits on further technological progress. For the same model parameters and bounded shocks, the range of land conversion is considerably smaller for the dynamic stochastic model than for deterministic scenario analysis.

Details

show
hide
Language(s): eng - English
 Dates: 2022-08-312024-02-092024-06-192024-06-19
 Publication Status: Finally published
 Pages: 29
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/gmd-17-4791-2024
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Land Use and Resilience
MDB-ID: No data to archive
Research topic keyword: Food & Agriculture
Regional keyword: Global
OATYPE: Gold Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Geoscientific Model Development
Source Genre: Journal, SCI, Scopus, p3, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 17 Sequence Number: - Start / End Page: 4791 - 4819 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals185
Publisher: Copernicus