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  1. 1 Νοε 2018 · Discrepant global food demand predictions cannot be explained by model complexity. Predicting future food demand is a critical step for formulating the agricultural, economic and conservation policies required to feed over 9 billion people by 2050 while doing minimal harm to the environment.

  2. 3.1 Past Results of Forecasts Relating to China’s Food Supply and Demand. Regarding China’s food supply and demand, Lester R. Brown forecast that the net-import volume for food would be 151 million tonnes in 2010, 258 million tonnes in 2020, and 370 million tonnes in 2030.

  3. Food security (csv format / zip file, 1,1 MB) Livestock (csv format / zip file, 221 KB) Macro indicators (csv format / zip file, 35 KB) Market (csv format / zip file, 7,2 MB) Country data for regional aggregates (csv format, 17 MB) Required citation for all data and figures: FAO. 2018. The future of food and agriculture – Alternative pathways ...

  4. 1 Φεβ 2019 · Using the model with predicted changes in population, real income and agricultural productivity as external shocks, we update the base period from 2009 to 2015 and forecast food demand and supply in China and its implications on trade of agricultural products by 2050.

  5. 21 Ιουλ 2021 · Across five representative scenarios that span divergent but plausible socio-economic futures, the total global food demand is expected to increase by 35% to 56% between 2010 and 2050, while...

  6. 1 Φεβ 2019 · We use a model to forecast the long-term food supply, demand and trade in China in 2050 • The forecast allows for China’'s demographic changes and ongoing urbanisation and industrialisation. • Total food demand in China is increased by 33 per cent by 2050 compared to 2015. •

  7. 11 Ιουλ 2012 · Models took into account population size, urbanization rate, cropland area, cropping intensity and technology development. Our results predict that food crop yield will increase +311 % under A2 scenario and +4 % under B2 scenario during 2030–2050, despite disparities among individual crops.