Short-term projection of global fish demand and supply gaps
A short-term projection model is developed to assess and monitor potential future fish demand and supply gaps at the country (nearly 200 countries or territories), regional (about 40 country groups), and global levels for nine species groups. Salient results at the global, regional and country levels are presented in the main text. Key results for all countries and all the nine species groups (including both standard and conservative projections) are documented in the appendix. The results indicate that: (i) if fish prices and consumer preferences remain the same, income growth would drive world per capita fish demand up from 20 kg/year in the mid-2010s to 25 kg/year in the early 2020s (or 23 kg/year under the conservative projection); (ii) the income-driven per capita fish demand hike, combined with population growth, would drive world fish demand up by 47 million tonnes (or 31 million tonnes under the conservative projection); (iii) the 19-million-tonne fish supply growth generated by the trend growth of world aquaculture production would cover only 40 percent of the projected demand growth (or 62 percent of the conservative projection), leaving a fish demand-supply gap of 28 million tonnes (or 16 million tonnes under the conservative projection) in the early 2020s; (iv) the demand-supply gap for shellfish (i.e. crustaceans and molluscs) would be bigger than that for finfish – they would account for, respectively, 55 percent and 45 percent of the 28-million-tonne fish demand-supply gap; (v) while world aquaculture production following its recent trend would grow 4.5 percent annually from the mid-2010s to the early 2020s, it would take a 9.9 percent annual growth (or 6.9 percent under the conservative projection) to fill the world fish demand-supply gap in the early 2020s; (vi) the trend aquaculture growth in only 17 countries (or 24 countries under the conservative projection) would be sufficient to cover the demand growth driven by population and income growth; excess demand is expected to occur in 170 countries (or 163 countries under the conservative projection); and (vii) should the world aquaculture production fall short of the required annual growth rate (i.e. 9.9 percent or 6.9 percent under the standard or conservative projection), and assuming world capture fisheries production would remain at the current level, the world fish price would have to increase to reduce fish demand in order to clear the market (i.e. no demand-supply gap). Results generated by the short-term projection model are useful for policymaking, development aids, business or investment planning, and other decision-making by various stakeholders in aquaculture and fisheries. They are a complement to and can potentially enhance the understanding of the results of more sophisticated forecasting models such as the OECD-FAO Fish Model and the World Bank-IFPRI-FAO Fish to 2030 model.
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Format: | Texto biblioteca |
Language: | eng |
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Rome (Italy) FAO
2017
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Subjects: | fish, consumption, supply balance, fishery production, income, impact assessment, forecasting, models, |
Online Access: | http://www.fao.org/3/a-i7623e.pdf |
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fish consumption supply balance fishery production income impact assessment forecasting models fish consumption supply balance fishery production income impact assessment forecasting models Cai, J. 1423211768616 FAO, Rome (Italy). Fisheries and Aquaculture Dept. eng 185034 Leung, P. 1423211768617 Short-term projection of global fish demand and supply gaps |
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A short-term projection model is developed to assess and monitor potential future fish demand and supply gaps at the country (nearly 200 countries or territories), regional (about 40 country groups), and global levels for nine species groups. Salient results at the global, regional and country levels are presented in the main text. Key results for all countries and all the nine species groups (including both standard and conservative projections) are documented in the appendix. The results indicate that: (i) if fish prices and consumer preferences remain the same, income growth would drive world per capita fish demand up from 20 kg/year in the mid-2010s to 25 kg/year in the early 2020s (or 23 kg/year under the conservative projection); (ii) the income-driven per capita fish demand hike, combined with population growth, would drive world fish demand up by 47 million tonnes (or 31 million tonnes under the conservative projection); (iii) the 19-million-tonne fish supply growth generated by the trend growth of world aquaculture production would cover only 40 percent of the projected demand growth (or 62 percent of the conservative projection), leaving a fish demand-supply gap of 28 million tonnes (or 16 million tonnes under the conservative projection) in the early 2020s; (iv) the demand-supply gap for shellfish (i.e. crustaceans and molluscs) would be bigger than that for finfish – they would account for, respectively, 55 percent and 45 percent of the 28-million-tonne fish demand-supply gap; (v) while world aquaculture production following its recent trend would grow 4.5 percent annually from the mid-2010s to the early 2020s, it would take a 9.9 percent annual growth (or 6.9 percent under the conservative projection) to fill the world fish demand-supply gap in the early 2020s; (vi) the trend aquaculture growth in only 17 countries (or 24 countries under the conservative projection) would be sufficient to cover the demand growth driven by population and income growth; excess demand is expected to occur in 170 countries (or 163 countries under the conservative projection); and (vii) should the world aquaculture production fall short of the required annual growth rate (i.e. 9.9 percent or 6.9 percent under the standard or conservative projection), and assuming world capture fisheries production would remain at the current level, the world fish price would have to increase to reduce fish demand in order to clear the market (i.e. no demand-supply gap). Results generated by the short-term projection model are useful for policymaking, development aids, business or investment planning, and other decision-making by various stakeholders in aquaculture and fisheries. They are a complement to and can potentially enhance the understanding of the results of more sophisticated forecasting models such as the OECD-FAO Fish Model and the World Bank-IFPRI-FAO Fish to 2030 model. |
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Texto |
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fish consumption supply balance fishery production income impact assessment forecasting models |
author |
Cai, J. 1423211768616 FAO, Rome (Italy). Fisheries and Aquaculture Dept. eng 185034 Leung, P. 1423211768617 |
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Cai, J. 1423211768616 FAO, Rome (Italy). Fisheries and Aquaculture Dept. eng 185034 Leung, P. 1423211768617 |
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Cai, J. 1423211768616 |
title |
Short-term projection of global fish demand and supply gaps |
title_short |
Short-term projection of global fish demand and supply gaps |
title_full |
Short-term projection of global fish demand and supply gaps |
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Short-term projection of global fish demand and supply gaps |
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Short-term projection of global fish demand and supply gaps |
title_sort |
short-term projection of global fish demand and supply gaps |
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Rome (Italy) FAO |
publishDate |
2017 |
url |
http://www.fao.org/3/a-i7623e.pdf |
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AT caij1423211768616 shorttermprojectionofglobalfishdemandandsupplygaps AT faoromeitalyfisheriesandaquaculturedepteng185034 shorttermprojectionofglobalfishdemandandsupplygaps AT leungp1423211768617 shorttermprojectionofglobalfishdemandandsupplygaps |
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unfao:8483692021-05-05T06:52:06ZShort-term projection of global fish demand and supply gaps Cai, J. 1423211768616 FAO, Rome (Italy). Fisheries and Aquaculture Dept. eng 185034 Leung, P. 1423211768617 textRome (Italy) FAO2017engA short-term projection model is developed to assess and monitor potential future fish demand and supply gaps at the country (nearly 200 countries or territories), regional (about 40 country groups), and global levels for nine species groups. Salient results at the global, regional and country levels are presented in the main text. Key results for all countries and all the nine species groups (including both standard and conservative projections) are documented in the appendix. The results indicate that: (i) if fish prices and consumer preferences remain the same, income growth would drive world per capita fish demand up from 20 kg/year in the mid-2010s to 25 kg/year in the early 2020s (or 23 kg/year under the conservative projection); (ii) the income-driven per capita fish demand hike, combined with population growth, would drive world fish demand up by 47 million tonnes (or 31 million tonnes under the conservative projection); (iii) the 19-million-tonne fish supply growth generated by the trend growth of world aquaculture production would cover only 40 percent of the projected demand growth (or 62 percent of the conservative projection), leaving a fish demand-supply gap of 28 million tonnes (or 16 million tonnes under the conservative projection) in the early 2020s; (iv) the demand-supply gap for shellfish (i.e. crustaceans and molluscs) would be bigger than that for finfish – they would account for, respectively, 55 percent and 45 percent of the 28-million-tonne fish demand-supply gap; (v) while world aquaculture production following its recent trend would grow 4.5 percent annually from the mid-2010s to the early 2020s, it would take a 9.9 percent annual growth (or 6.9 percent under the conservative projection) to fill the world fish demand-supply gap in the early 2020s; (vi) the trend aquaculture growth in only 17 countries (or 24 countries under the conservative projection) would be sufficient to cover the demand growth driven by population and income growth; excess demand is expected to occur in 170 countries (or 163 countries under the conservative projection); and (vii) should the world aquaculture production fall short of the required annual growth rate (i.e. 9.9 percent or 6.9 percent under the standard or conservative projection), and assuming world capture fisheries production would remain at the current level, the world fish price would have to increase to reduce fish demand in order to clear the market (i.e. no demand-supply gap). Results generated by the short-term projection model are useful for policymaking, development aids, business or investment planning, and other decision-making by various stakeholders in aquaculture and fisheries. They are a complement to and can potentially enhance the understanding of the results of more sophisticated forecasting models such as the OECD-FAO Fish Model and the World Bank-IFPRI-FAO Fish to 2030 model.A short-term projection model is developed to assess and monitor potential future fish demand and supply gaps at the country (nearly 200 countries or territories), regional (about 40 country groups), and global levels for nine species groups. Salient results at the global, regional and country levels are presented in the main text. Key results for all countries and all the nine species groups (including both standard and conservative projections) are documented in the appendix. The results indicate that: (i) if fish prices and consumer preferences remain the same, income growth would drive world per capita fish demand up from 20 kg/year in the mid-2010s to 25 kg/year in the early 2020s (or 23 kg/year under the conservative projection); (ii) the income-driven per capita fish demand hike, combined with population growth, would drive world fish demand up by 47 million tonnes (or 31 million tonnes under the conservative projection); (iii) the 19-million-tonne fish supply growth generated by the trend growth of world aquaculture production would cover only 40 percent of the projected demand growth (or 62 percent of the conservative projection), leaving a fish demand-supply gap of 28 million tonnes (or 16 million tonnes under the conservative projection) in the early 2020s; (iv) the demand-supply gap for shellfish (i.e. crustaceans and molluscs) would be bigger than that for finfish – they would account for, respectively, 55 percent and 45 percent of the 28-million-tonne fish demand-supply gap; (v) while world aquaculture production following its recent trend would grow 4.5 percent annually from the mid-2010s to the early 2020s, it would take a 9.9 percent annual growth (or 6.9 percent under the conservative projection) to fill the world fish demand-supply gap in the early 2020s; (vi) the trend aquaculture growth in only 17 countries (or 24 countries under the conservative projection) would be sufficient to cover the demand growth driven by population and income growth; excess demand is expected to occur in 170 countries (or 163 countries under the conservative projection); and (vii) should the world aquaculture production fall short of the required annual growth rate (i.e. 9.9 percent or 6.9 percent under the standard or conservative projection), and assuming world capture fisheries production would remain at the current level, the world fish price would have to increase to reduce fish demand in order to clear the market (i.e. no demand-supply gap). Results generated by the short-term projection model are useful for policymaking, development aids, business or investment planning, and other decision-making by various stakeholders in aquaculture and fisheries. They are a complement to and can potentially enhance the understanding of the results of more sophisticated forecasting models such as the OECD-FAO Fish Model and the World Bank-IFPRI-FAO Fish to 2030 model.fishconsumptionsupply balancefishery productionincomeimpact assessmentforecastingmodelshttp://www.fao.org/3/a-i7623e.pdfURN:ISBN:978-92-5-109857-8 |