Fish to 2030: Prospects for fisheries and aquaculture
This study employs IFPRI’s IMPACT model to generate projections of global fi sh supply and demand. IMPACT covers the world in 115 model regions for a range of agricultural commodities, to which fi sh and fi sh products are added for this study. As is the case with most global modeling work, an impor...
| Autores principales: | , , , , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
World Bank
2013
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/153773 |
| _version_ | 1855515800817893376 |
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| author | World Bank Msangi, Siwa Kobayashi, Mimako Batka, Miroslav Vannuccini, Stefania Dey, Madan M. Anderson, James L. Kelleher, Keiran Singh, Kehar Brummet, Randall |
| author_browse | Anderson, James L. Batka, Miroslav Brummet, Randall Dey, Madan M. Kelleher, Keiran Kobayashi, Mimako Msangi, Siwa Singh, Kehar Vannuccini, Stefania World Bank |
| author_facet | World Bank Msangi, Siwa Kobayashi, Mimako Batka, Miroslav Vannuccini, Stefania Dey, Madan M. Anderson, James L. Kelleher, Keiran Singh, Kehar Brummet, Randall |
| author_sort | World Bank |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study employs IFPRI’s IMPACT model to generate projections of global fi sh supply and demand. IMPACT covers the world in 115 model regions for a range of agricultural commodities, to which fi sh and fi sh products are added for this study. As is the case with most global modeling work, an important value that IMPACT brings to this study is an internally consistent framework for analyzing and organizing the underlying data. However, there are known data and methodology issues that arise from choices made by the key researchers for the purposes of maintaining computational tractability, internal analytical consistency, and overall simplicity. |
| format | Informe técnico |
| id | CGSpace153773 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | World Bank |
| publisherStr | World Bank |
| record_format | dspace |
| spelling | CGSpace1537732025-12-08T10:29:22Z Fish to 2030: Prospects for fisheries and aquaculture World Bank Msangi, Siwa Kobayashi, Mimako Batka, Miroslav Vannuccini, Stefania Dey, Madan M. Anderson, James L. Kelleher, Keiran Singh, Kehar Brummet, Randall aquaculture fish fisheries fish industry models demand supply commodities trade food supply food security climate change technological changes commodity markets resource management economic development prices nutrition malnutrition This study employs IFPRI’s IMPACT model to generate projections of global fi sh supply and demand. IMPACT covers the world in 115 model regions for a range of agricultural commodities, to which fi sh and fi sh products are added for this study. As is the case with most global modeling work, an important value that IMPACT brings to this study is an internally consistent framework for analyzing and organizing the underlying data. However, there are known data and methodology issues that arise from choices made by the key researchers for the purposes of maintaining computational tractability, internal analytical consistency, and overall simplicity. 2013 2024-10-01T13:57:35Z 2024-10-01T13:57:35Z Report https://hdl.handle.net/10568/153773 en Open Access application/pdf World Bank World Bank. 2013. Fish to 2030: Prospects for fisheries and aquaculture. World Bank Report 83177-GLB. Washington, DC: The World Bank. |
| spellingShingle | aquaculture fish fisheries fish industry models demand supply commodities trade food supply food security climate change technological changes commodity markets resource management economic development prices nutrition malnutrition World Bank Msangi, Siwa Kobayashi, Mimako Batka, Miroslav Vannuccini, Stefania Dey, Madan M. Anderson, James L. Kelleher, Keiran Singh, Kehar Brummet, Randall Fish to 2030: Prospects for fisheries and aquaculture |
| title | Fish to 2030: Prospects for fisheries and aquaculture |
| title_full | Fish to 2030: Prospects for fisheries and aquaculture |
| title_fullStr | Fish to 2030: Prospects for fisheries and aquaculture |
| title_full_unstemmed | Fish to 2030: Prospects for fisheries and aquaculture |
| title_short | Fish to 2030: Prospects for fisheries and aquaculture |
| title_sort | fish to 2030 prospects for fisheries and aquaculture |
| topic | aquaculture fish fisheries fish industry models demand supply commodities trade food supply food security climate change technological changes commodity markets resource management economic development prices nutrition malnutrition |
| url | https://hdl.handle.net/10568/153773 |
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