Tables

This dataset is a complement to the "Agricultural Policy Monitoring and Evaluation 2013" 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 provides the latest and most comprehensive data across OECD countries on the environmental performance of agriculture since 1985. A set of agri-environmental indicators has been developed through several specific theme-focused workshops involving analysts and scientific experts from OECD countries, complemented with thorough reviews of the literature. Data include figures on crop production, agricultural land area under certified organic farm management, transgenic crops, fertilizers, direct on-farm energy consumption, moderate to severe water erosion risk, CH4 emissions and share of CO2 in total national GHG emissions. The OECD’s Driving Force-State-Response model (DSR) is the organising framework for developing the indicators.

This dataset stems from the database presented in the OECD-FAO Agricultural Outlook 2013-2022. The table contains projections on the agriculture market and commodities such as cereals, oilseeds, diary products, cotton and more. It includes statistics on the trade side including data on production, 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 (currently 2022).