Tables

This dataset is a complement to the "Agricultural Policy Monitoring and Evaluation 2018" publication. It shows estimates of agricultural support for OECD countries as well as some non-member economies. These summary tables, designed specifically to monitor and evaluate the level and composition of agricultural policy support, focus on:

- Producer Support Estimate (PSE), representing transfers granted to producers individually;

- General Service Support Estimate (GSSE), representing transfers granted to producers collectively, i.e. services that benefit agriculture but whose initial incidence is not at the level of individual farmers;

- Consumer Support Estimate (CSE), representing transfers granted to consumers. The CSE is almost always negative because transfers from consumers due to market price support policies outweigh any consumption subsidies from taxpayers that might be granted to consumers.

- Total Support Estimate (TSE), representing the sum of the three above-mentioned components, adjusted for double-counting given that some market price transfers are accounted for in both the PSE and CSE.

The value of those transfers are further analyzed by looking at their relative share in agricultural support, in agricultural economy and in the economy as a whole, together with other indicators such as Nominal Assistance Coefficient (NAC) and Nominal Protection Coefficient (NPC).

This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2018, which monitors agricultural policy developments in OECD member countries as well as other EU member states and emerging economies.

The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies.

The OECD database of Agri-environmental Indicators provides the latest and most comprehensive set of agri-environmental indicators (AEIs) across 35 OECD countries and UE countries (plus Norway and Switzerland) from 1990 to 2015. This database builds from OECD questionnaire and the close collaboration with Eurostat. Eurostat is in charge of the data collection statistics for EU countries plus Norway and Switzerland. The OECD Secretariat collects data for non-EU OECD countries on the basis of the OECD Agri-environmental Indicators questionnaire.

This dataset provides the latest and most comprehensive data across OECD countries on agricultural nutrient balances. The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilisers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.

This fisheries dataset presents statistics on aquaculture production: in tonnes, national currency and US dollars, for all sorts of fish, shellfish, etc.

This dataset presents statistics on trade by product: imports and exports in tonnes and US dollars, for all sorts of fish, shellfish, etc. and all types of processing. Classification is according the Harmonised System (HS, i.e. harmonized commodity description and coding system of the World Customs Organization).

This OECD-FAO Agricultural Outlook includes projections for the period 2018-2027. In most cases the data go back to 1970 and cover up to the latest year of projection. The dataset contains projections on the agriculture market and commodities such as cereals, oilseeds, dairy products, cotton and more. It includes statistics on the trade side including data on production and output, prices, trade balance, ending stocks, consumption, transformation, etc. For most of the commodity markets analysed in the Agricultural Outlook, domestic and international commodity prices are also available. In most cases the data go back to 1970 and cover up to the latest year of projection.