OECD-FAO Agricultural Outlook 2018-2027
The fourteenth joint edition of the OECD-FAO Agricultural Outlook provides market projections for major agricultural commodities, biofuels and fish, as well as a special feature on the prospects and challenges of agriculture and fisheries in the Middle East and North Africa.
World agricultural markets have changed markedly since the food price spikes of 2007-8, as production has grown strongly while demand growth has started to weaken. In the coming decade, real agricultural prices are expected to remain low as a result of reduced growth in global food and feed demand. Net exports will tend to increase from land abundant countries and regions, notably in the Americas. Countries with limited natural resources, slow production expansion and high population growth will see rising net imports. Increasing import dependence is projected in particular for the Middle East and North Africa, where a scarcity of arable land and water constrains agricultural production.
OECD-FAO Agricultural Outlook 2018-2027 - © OECD 2018
A.44 | Main policy assumptions for cotton markets | ||||||||||||
A.44 | Main policy assumptions for cotton markets | ||||||||||||
Marketing year | |||||||||||||
| | | Average 2015-17est | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 |
| ARGENTINA | ||||||||||||
| Export tax equivalent of export barriers | % | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 |
| Tariff equivalent of import barriers | % | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 |
| BRAZIL | ||||||||||||
| Producer Minimum Price, lint cotton | BRL/t | 3 959.0 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 | 4 964.5 |
| Tariff equivalent of import barriers | % | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 |
| EUROPEAN UNION | ||||||||||||
| Area for coupled payment | kha | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 | 301.7 |
| Coupled payment per ha 1 | EUR/ha | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 | 830.0 |
| Tariff equivalent of import barriers | % | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| JAPAN | ||||||||||||
| Tariff equivalent of import barriers | % | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| KOREA | ||||||||||||
| Tariff equivalent of import barriers | % | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| MEXICO | ||||||||||||
| Tariff equivalent of import barriers | % | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| RUSSIA | ||||||||||||
| Tariff equivalent of import barriers | % | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| UNITED STATES | ||||||||||||
| STAX participation rate | % | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 | 95.0 |
| CRP area | Mha | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 | 1.1 |
| Economic Adjustment Assistance payment level | USD/t | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 | 66.1 |
| TRQ | kt | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 | 73.2 |
| In-quota tariff | USD/t | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 | 44.0 |
| Out-of-quota tariff | USD/t | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 | 314.0 |
| CHINA | ||||||||||||
| TRQ | kt | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 | 894.0 |
| In-quota tariff | % | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| Out-of-quota tariff | % | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
Note: Marketing year: See Glossary of Terms for definitions. Average 2015-17est: Data for 2017 are estimated. | |||||||||||||
Disclaimer: http://oe.cd/disclaimer | |||||||||||||
If the area is higher than the ceiling, the amount is proportionally reduced. | |||||||||||||
Source: OECD/FAO (2018), “OECD-FAO Agricultural Outlook”,OECD Agriculture statistics(database). doi:dx.doi.org/10.1787/agr-outl-data-en |