Günther Fischer
Risk-adjusted Approaches for Planning Sustainable Agriculture
Fischer, Günther; Ermolieva, T.; Ermoliev, Y.; Sun, Laixiang
Authors
Abstract
In this paper we show that explicit treatment of risks and uncertainties in agricultural production planning may considerably alter strategies for achieving robust outcomes with regard to sustainable agricultural developments. We discuss production planning models under uncertainties and risks that may assist in planning locationspecific production expansion within environmental and health risk indicators and constraints. The proposed approaches are illustrated with the example of spatially explicit livestock production allocation in China to 2030.
Citation
Fischer, G., Ermolieva, T., Ermoliev, Y., & Sun, L. (2009). Risk-adjusted Approaches for Planning Sustainable Agriculture. Stochastic Environmental Research and Risk Assessment, 23(4), 441-450. https://doi.org/10.1007/s00477-008-0231-9
Journal Article Type | Article |
---|---|
Publication Date | May 1, 2009 |
Deposit Date | Jun 22, 2009 |
Journal | Stochastic Environmental Research and Risk Assessment |
Print ISSN | 1436-3240 |
Electronic ISSN | 1436-3259 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 23 |
Issue | 4 |
Pages | 441-450 |
DOI | https://doi.org/10.1007/s00477-008-0231-9 |
Keywords | Agricultural production, Risks, Safety constraints, CVaR risk measure, Downscaling, Robust decisions |
Publisher URL | http://www.springerlink.com/content/103283/ |
You might also like
Keeping the global consumption within the planetary boundaries
(2024)
Journal Article
Climate Change and Corporate Vulnerability: Impact of Natural Disasters on JVs and WOSs
(2024)
Journal Article
Water consumption and biodiversity: Responses to global emergency events.
(2024)
Journal Article
Downloadable Citations
About SOAS Research Online
Administrator e-mail: outputs@soas.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search