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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Bibliographic Details
Main Authors: Cai, J. 1423211768616, FAO, Rome (Italy). Fisheries and Aquaculture Dept. eng 185034, Leung, P. 1423211768617
Format: Texto biblioteca
Language:eng
Published: Rome (Italy) FAO 2017
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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id unfao:848369
record_format koha
institution FAO IT
collection Koha
country Italia
countrycode IT
component Bibliográfico
access En linea
En linea
databasecode cat-fao-it
tag biblioteca
region Europa del Sur
libraryname David Lubin Memorial Library of FAO
language eng
topic fish
consumption
supply balance
fishery production
income
impact assessment
forecasting
models
fish
consumption
supply balance
fishery production
income
impact assessment
forecasting
models
spellingShingle 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
description 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.
format Texto
topic_facet 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
author_facet Cai, J. 1423211768616
FAO, Rome (Italy). Fisheries and Aquaculture Dept. eng 185034
Leung, P. 1423211768617
author_sort 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
title_fullStr Short-term projection of global fish demand and supply gaps
title_full_unstemmed Short-term projection of global fish demand and supply gaps
title_sort short-term projection of global fish demand and supply gaps
publisher Rome (Italy) FAO
publishDate 2017
url http://www.fao.org/3/a-i7623e.pdf
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AT faoromeitalyfisheriesandaquaculturedepteng185034 shorttermprojectionofglobalfishdemandandsupplygaps
AT leungp1423211768617 shorttermprojectionofglobalfishdemandandsupplygaps
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spelling 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