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Section dedicated to macro and micro socio-economic analyses developed by the European Commission 's Joint Research Centre, to provide scientific support to EU policymakers in assessing the development of the agro-food sector in the EU and globally.

Most of these estimates are based on the Integrated Modelling Platform for Agro-economic Commodity and Policy Analysis (iMAP), employing the models AGLINK-COSIMO, AGMEMOD, CAPRI, IFM-CAP, and MAGNET (see our Models tab).

Use the iMAP explorer to get an insight on the features of the iMAP models and their coverage of key policy instruments:

IMAP logo

The data and dashboard tab on the left, is the official location for web contents of economic studies assessing the impact on the European agri-food sector of key policy changes (e.g., CAP evolution toward 2030, impact of the free trade agreements, studied in 2016 and 2021)

Furhtermore DataM produces and hosts here:

  • the EU estimated agricultural balance sheets jointly developed by DG AGRI and JRC and updated 3 times per year,
  • the EU social accounting matrices (SAMs), released till now 2 versions in 2018 (referring to 2010) and in 2021 (referring to 2015),
  • an on-line application (jobs calculator) based on the SAMs, to simulate the effects on empolyment of changes in demand (export)

If you are looking for..

  1. agri-food policy analysis for Africa: please refer to the specific section dedicated to the Pan-African Network for economic Analysis of Policies.
  2. statistical data on national and European agriculture and common agricultural policy (CAP): please refer to the agri-food data portal provided by the European Commission's agricultural and rural development department.


Data and dashboards

Featured contents

DataM flagship products with periodical data updates

GHG emissions calculator

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What happens to GHG emissions if exports change? Try this interactive tool to simulate the effects of demand changes on GHG emissions. Tool based on the Social Accounting Matrices. Simulation available for Kenya.
Last update: 21/11/2025 | Update frequency: unknown

Jobs calculator

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What happens to employment if exports change? Try this interactive tool to simulate the effects of demand changes on jobs. Tool based on the Social Accounting Matrices. Simulation available for 30+ countries, including all EU, the UK, and some Africans.
Last update: 20/11/2025 | Update frequency: unknown

Food System Monitoring - Dashboard

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Dashboard for the monitoring of the EU Food System.
Last update: 13/11/2025 | Update frequency: continuously updated

Scenar studies

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A series of ex-ante studies produced by the JRC on the impact on the agricultural sector of stylised scenarios, reflecting the main drivers of policy debate aiming providing an exploration framework for the process of designing the evolution of the CAP.
Last update: 24/10/2025 | Update frequency: irregular

Agricultural sector resilience progress indicator (I.9)

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A composite resilience dashboard for the EU agricultural sector, combining financial and biophysical metrics to assess Member States’ capacity to maintain agricultural functions and services under climate stress, underpinning the CAP PMEF I.9 indicator.
Last update: 02/02/2025 | Update frequency: annual

Medium-term Outlook commodity flows

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Agricultural commodity flows based on data from the EU agricultural medium-term outlook.
Last update: 11/12/2024 | Update frequency: annual

Cumulative Free Trade Agreements (FTA) studies

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An ex-ante impact study series produced by the Joint Research Centre of the European Commission, assessing the impact of upcoming FTAs on the EU agri-food sectors.
Last update: 22/02/2024 | Update frequency: irregular

Social Accounting Matrices - EU "BioSAMs"

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A SAM is a database that records all transactions taking place in an economy over a specific period. The JRC produces and updates the SAMs for the EU Member States with a detailed disaggregation of the bio-economy.
Last update: 10/05/2021 | Update frequency: irregular

Ad-hoc contents

Datasets linked to terminated works, including studies periodically repeated.

Scenar 2040 - A scenario study on the Common Agricultural Policy

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A JRC study which establishes a reference (business-as-usual) scenario and explores three other scenarios related to the EU's common agricultural policy (CAP): productivity and investment, environment and climate, and NoCAP.
Last update: 24/10/2025

Impact Indicator for Priority Pests (I2P2)

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This data set includes the data to calculate the 24 indicators used in the I2P2 as well as the calculation of the composite indicator I2P2 and its domains and subdomains. It also allows to carry out sensitivity analysis for alternative weighting schemes.
Last update: 15/10/2025

CAP Strategic Plans - Master file

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A Master file of the CAP Strategic Plans of the EU Member States compiled by the JRC to facilitate the analysis of the Common Agricultural Policy and made available to the public.
Last update: 23/09/2025

The state of digitalisation in EU agriculture - Insights from farm surveys

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The data provides insights into the adoption of general IT and software tools and farm-specific technologies, key drivers and barriers, perceived sustainability aspects, and farm-level practices in data collection, management and sharing.
Last update: 16/09/2025

FADN Representativeness

Assessment of the representativeness of the means, or estimates, derived from the Farm Accountancy Data Network (FADN) by comparing them to the corresponding population averages and by providing associated precision measures.
Last update: 26/05/2025

AfCFTA tariff offer analysis

Last update: 14/05/2024

FTA - Free trade agreements study - 2024

Study (JRC - 2024) consisting in an analysis of the cumulative potential impact of ongoing and upcoming trade negotiations on the EU agricultural sector.
Last update: 22/02/2024

OLD EU28 estimated agricultural balance sheets including UK

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Last, frozen, version of the "EU estimated agricultural balance sheets" including the United Kingdom. It includes residual declarations of UK up to 2019, collected until spring 2021.
Last update: 12/04/2023

BioSAMs EU Member States - 2015

EU Member States' Social Accounting Matrices 2015, with a detailed disaggregation of the bio-economy. Estimated by JRC (2021)
Last update: 10/05/2021

BioSAMs EU Member States - 2010

EU Member States' Social Accounting Matrices 2010, with a detailed disaggregation of the bio-economy. Estimated by JRC (2018)
Last update: 16/02/2021

FTA - Free trade agreements study - 2021

Study (JRC - 2021) consisting in an analysis of the cumulative potential impact of ongoing and upcoming trade negotiations on the EU agricultural sector.
Last update: 26/01/2021

SUPREMA - SUpport for Policy RElevant Modelling of Agriculture

Model outcomes produced by the Horizon 2020 project SUPREMA (SUpport for Policy RElevant Modelling of Agriculture) consisting in baselines, agricultural policy scenarios, climate change scenarios.
Last update: 22/07/2020

FTA - Free trade agreements study - 2016

Study (JRC - 2016) consisting in an analysis of the cumulative potential impact of ongoing and upcoming trade negotiations on the EU agricultural sector.
Last update: 19/03/2019

Scenar 2030 - Pathways for the European agriculture and food

Study (JRC - 2017) analyzing the impact on the agricultural sector of stylised scenarios, reflecting the main drivers of policy debate, providing a framework for further exploration of the process of designing the future Common Agricultural Policy (CAP).
Last update: 18/12/2017

Publications

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    EU rural development support and young farmers’ economic performance: A comparative study of Poland and Germany

    Year: 2025

    Authors: Michalek, J; Ciaian, P

    Journal: Publications Office of the European Union

    Abstract: Support for young farmers is an important objective in the EU’s agricultural policy framework, aiming to promote generational renewal as a means of enhancing the competitiveness and sustainability of the EU’s agricultural sector. This paper focuses on the economic prospects of young farmers by estimating the microeconomic impacts of rural development programme (RDP) support on the economic performance of young farmers in Poland and Germany between 2007 and 2012. Using the synthetic control method and Farm Accountancy Data Network panel data, we find that the support had mixed effects. In Poland, RDP-supported young farmers underperformed relative to their unsupported counterparts, probably due to the entry of less-performing farmers into the sector, high environmental compliance costs and/or insufficiently tailored policy design. Conversely, old farmers benefited more, probably due to their superior entrepreneurial skills and lower commitment to adopting environmental practices. In Germany, RDP support improved the performance of young farmers, suggesting that it probably addressed some market imperfections. These findings underscore the limitations of a one-size-fits-all approach to supporting young farmers and the need for region-specific policies. Policymakers should mitigate unintended consequences, such as incentivising less-performing entrants, and better tailor interventions to the needs of young farmers. While our findings are specific to Poland and Germany, they contribute to broader policy discussions on the effectiveness of agricultural support for young farmers and highlight the need for further research in different contexts.

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    EU food system monitoring framework - Fifteen new indicators to achieve a more balanced indicator coverage

    Year: 2025

    Authors: Tóth, K; Acs, S; Barbero Vignola, G; Bosco, S; Caivano, A; Catarino, R; Druon, J; De Laurentiis, V; De Jong, B; Ermolli, M; Guerrero, I; Gurría, P; Leite, J; Listorti, G; Lasarte-López, J; M'barek, R; Puerta-Piñero, C; Smallenbroek, O; Tamošiūnas, S; Wollgast, J; Proietti, I

    Journal: Publications Office of the European Union

    Abstract: Food systems play a pivotal role in preserving the balance between environment and human activities. Their sustainability is key for operating within the planetary boundaries. The Joint Research Centre (JRC) published its first food system monitoring dashboard in November 2024, to provide information on progress towards a fair, healthy and environmentally friendly food system. In addition to selecting indicators for monitoring, the related work identified important knowledge gaps on food system sustainability. These gaps were marked with placeholders indicating research or data collection needs. This report describes the first phase of the evolutionary maintenance of the dashboard, providing overall context and methodological steps for turning placeholders into headline or secondary indicators. Importantly, the report also informs on how data in the monitoring system is managed, ensuring balanced and non-repetitive coverage of the environmental, economic and social dimensions, as well as the components of the food supply chain. The first phase of placeholder development yielded 15 new indicators in the dashboard- out of which 9 had been formulated as placeholders in the November 2024 report while 6 were newly proposed and developed indicators. These indicators draw on newly discovered public data, data derived from original research, and data resulting from the combination of public and commercial data sources. Beyond informing on the sustainability of the EU food system, the monitoring framework including the upgraded dashboard and this report, may also contribute to policy making on issues such as competitiveness, social inclusion and environment.

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    Scenar 2040 - A scenario study on the Common Agricultural Policy

    Year: 2025

    Authors: Fellmann, T; Tassinari, G; Lasarte-López, J; Rey Vicario, D; Beber, C; Barbosa, AL; De Jong, B; Ferrari, E; Isbasoiu, A; Klinnert, A; Kremmydas, D; M'barek, R; Philippidis, G; Rokicki, B; Tillie, P; Weiss, F; Genovese, G

    Journal: Publications Office of the European Union

    Abstract: The Scenar 2040 study provides a comprehensive analysis of the potential impacts of two hypothetical scenarios related to the Common Agricultural Policy (CAP) on the EU agricultural sector and its broader environment. The baseline (reference scenario) is calibrated to the 2023 EU Agricultural Outlook, and the current national CAP Strategic Plans serve as starting point for the shifts in the policy scenarios. In the first scenario support is directed towards CAP measures enhancing productivity and competitiveness, whereas the second scenario shifts support towards more environmental and climate-focused interventions. The study also includes a counterfactual NoCAP scenario, simulating the removal of the entire CAP framework. The study aims to contribute to policy discussions on the future of the CAP by providing quantitative insights into the general implications of alternative CAP trajectories. The scenario results underscore the CAP’s essential role for the EU’s agricultural sector and its broader socio-economic and environmental interlinkages across territories. The results indicate that the removal of the CAP framework would have considerable heterogeneous economic, environmental, and social impacts across the EU. The two alternative CAP scenarios reveal contrasted outcomes aligned with their respective narratives. The results highlight the CAP’s critical role, the complexity involved in balancing competing objectives, and confirm market fundamentals as primary drivers of production, although policy can significantly modulate outcomes.

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    Ranking of Union Quarantine Pests based on their potential economic, social and environmental impacts to support the identification of “priority pests”

    Year: 2025

    Authors: Schneider, K; Barreiro-Hurle, J; Vázquez Torres, E; Di Cori, V; Rodríguez-Cerezo, E

    Journal: Publications Office of the European Union

    Abstract: This report presents a two-step approach to rank European Union Quarantine Pests (UQPs) based on their potential economic, social, and environmental impacts. In the first step, a shortlisting methodology was developed and applied to approximately 400 UQPs to select a subset of pests which were subject to a more detailed analysis in the second one. The shortlisted 46 pests were evaluated using an updated and modified version of the Impact Indicator for Priority Pests (I2P2) a composite indicator based on multi-criteria analysis. To calculate I2P2 values expert knowledge elicitations were conducted by EFSA for key parameters and these combined with a diversity of secondary data sources. The I2P2 model combines economic, social, and environmental impact into a single value which is subsequently used to rank pests. We assessed robustness of our recommendation with regards to uncertainty on the biological parameters as well as risk managers’ preference on avoiding impacts in the different domains. In addition we inform on the driving factors behind the composite scores.

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    The EAT–Lancet Commission on healthy, sustainable, and just food systems

    Year: 2025

    Authors: Rockström, J; Thilsted, SH; Willett, WC; Gordon, LJ; Herrero, M; Hicks, CC; Mason-D'Croz, D; Rao, N; Springmann, M; Wright, EC; Agustina, R; Bajaj, S; Bunge, AC; Carducci, B; Conti, C; Covic, N; Fanzo, J; Forouhi, NG; Gibson, MF; Gu, X; Kebreab, E; Kremen, C; Laila, A; Laxminarayan, R; Marteau, TM; Monteiro, CA; Norberg, A; Njuki, J; Oliveira, TD; Pan, W; Rivera, JA; Robinson, JPW; Sundiang, M; te Wierik, S; van Vuuren, DP; Vermeulen, S; Webb, P; Alqodmani, L; Ambikapathi, R; Barnhill, A; Baudish, I; Beier, F; Beillouin, D; Beusen, AHW; Breier, J; Chemarin, C; Chepeliev, M; Clapp, J; de Vries, W; Pérez-Domínguez, I; Estrada-Carmona, N; Gerten, D; Golden, CD; Jones, SK; Jørgensen, PS; Kozicka, M; Lotze-Campen, H; Maggi, F; Marzi, E; Mishra, A; Orduna-Cabrera, F; Popp, A; Schulte-Uebbing, L; Stehfest, E; Tang, FHM; Tsuchiya, K; Van Zanten, HHE; van Zeist, W-J; Zhao, X; DeClerck, F

    Journal: The Lancet

    Abstract: The global context has shifted dramatically since publication of the first EAT–Lancet Commission in 2019, with increased geopolitical instability, soaring food prices, and the COVID-19 pandemic exacerbating existing vulnerabilities and creating new challenges. However, food systems remain squarely centred at the nexus of food security, human health, environmental sustainability, social justice, and the resilience of nations. Actions on food systems strongly impact the lives and wellbeing of all and are necessary to progress towards goals highlighted in the Sustainable Development Goals, the Paris Agreement, and the Kunming–Montreal Global Biodiversity Framework. Although current food systems have largely kept pace with population growth, ensuring sufficient caloric intake for many, they are the single most influential driver of planetary boundary transgression. More than half of the world's population struggles to access healthy diets, leading to devastating consequences for public health, social equity, and the environment. Although hunger has declined in some regions, recent increases linked to expanding conflicts and emergent climate change impacts have reversed this positive trend. Obesity rates continue to rise globally, and the pressure exerted by food systems on planetary boundaries shows no signs of abating. In this moment of increasing instability, food systems still offer an unprecedented opportunity to build the resilience of environmental, health, economic, and social systems, and are uniquely placed to enhance human wellbeing while also contributing to Earth-system stability. This updated analysis builds upon the 2019 EAT–Lancet Commission, expanding its scope and strengthening its evidence base. The first Commission defined food group ranges for a healthy diet and identified the food systems' share of planetary boundaries. In this Commission, we add an analysis of the social foundations for a just food system, and incorporate new data and perspectives on distributive, representational, and recognitional justice, providing a global overview on equity in food systems. Substantial improvements in modelling capacity and data analysis allow for the use of a multimodel ensemble to project potential outcomes of a transition to healthy and sustainable food systems.

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    Impact of consequentiality in willingness to accept: evidence from a choice experiment with land managers

    Year: 2025

    Authors: Villanueva, AJ; Barreiro-Hurle, J; Rodriguez-Entrena, M

    Journal: Agricultural and Food Economics

    Abstract: Studies analysing land managers’ stated preferences for participation in environmental policy initiatives have largely overlooked the issue of hypothetical bias (HB). In this study, a discrete choice experiment focusing on farmers’ willingness to accept (WTA) to participate in agri-environmental schemes is used to examine an HB mitigation measure. The ex post HB mitigation measure is based on perceived consequentiality, grounded in the notion that greater survey consequentiality implies greater survey credibility, prompting land managers to provide more realistic responses. The results show that such a measure can help to reduce HB, which can lead to WTA being overestimated by 35%, in line with recent meta-analyses focusing on WTA settings for private goods. The results also indicate that perceived consequentiality exhibits a kind of “knife-edge” effect, like that reported for WTP settings with public goods. Overall, the results support the value of accounting for and enhancing perceived consequentiality. While this study opens up different avenues for further research, it should help future valuations of this kind to provide more accurate estimates, enabling more precise policy-making support for land and resource managers.

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    The state of digitalisation in EU agriculture - Insights from farm surveys

    Year: 2025

    Authors: Antonioli, F; Ciaian, P; Fellmann, T; Tur Cardona, J; Rocciola, F; Ierardi, I; Crimeni, R; Anastasiou, E

    Journal: Publications Office of the European Union

    Abstract: The digitalisation of the EU agricultural sector is an essential part of the broader EU Digital Agenda and the Common Agricultural Policy (CAP) aiming to promote competitiveness, sustainability, and resilience in agriculture through digital transformation. This report analyses the current state of digitalisation in EU agriculture, covering the adoption of general IT and software tools and farm-specific technologies, key drivers and barriers, perceived sustainability aspects, and farm-level practices in data collection, management and sharing. The analysis is based on farm survey data from 1 444 respondents in nine EU Member States – Germany, Ireland, Greece, Spain, France, Italy, Lithuania, Hungary and Poland – collected between June and October 2024. The results show that while general IT and software tools are widely used, more expensive technologies specific to crop or livestock production have been less widely adopted. Adoption rates are higher among larger farms, those with better internet connectivity and those with specialised training. Key drivers of adoption include efficiency gains, cost savings, regulatory pressures and improved quality of life, while high costs and limited skills remain notable barriers. Farmers expect digital technologies to have positive economic, environmental and social impacts. Farm-level data collection is still largely manual or based on basic digital tools, which increases the administrative burden on farmers. Farmers appear to take a selective approach to data sharing, mainly due to concerns about privacy, security and data control. Promoting transparent data policies, ensuring farmers benefit from sharing and adopting a targeted policy approach for advanced technologies can help build trust and support wider digital adoption.

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    Economic assessment of GHG mitigation policy options for EU agriculture - Interactions between the agriculture,forestry and other land use sectors: EcAMPA 4

    Year: 2025

    Authors: Pérez-Domínguez, I; Barbosa, AL; Fellmann, T; Weiss, F; Hristov, J; Witzke, P; Kesting, M; Basnet, S; Koeble, R; Schievano, A

    Journal: Publications Office of the European Union

    Abstract: The European Climate Law mandates the European Union’s climate neutrality objectives by 2050, aligning with the European Green Deal and interim greenhouse gas (GHG) emission reduction targets. The Agriculture, Forestry, and Other Land Use (AFOLU) sectors play a crucial role due to their dual function in sequestering carbon and emitting GHGs. This report assesses the potential contribution of the AFOLU sectors to the EU's 2050 targets using CAPRI model scenarios. Recent model enhancements enable a more integrated analysis of GHG emissions and carbon removals, allowing for a detailed assessment of land-based mitigation options. The scenarios assess increased afforestation, sustainable forest management, protection of peatlands, and pricing of AFOLU GHG emissions and removals. Results indicate that reversing GHG emission trends requires significant action, particularly enhanced soil carbon sequestration and climate-smart agricultural practices. The protection of histosols and land conversion towards grassland and forest areas significantly increase carbon dioxide removals, while lower livestock and crop production reduce methane and nitrous oxide emissions. Policies strengthening forest protection and afforestation further enhance the carbon sink capacity of the AFOLU sectors, potentially achieving negative net emissions by 2050. However, it is important to note that emission leakage (i.e., increases in emissions outside the EU) could limit global net reductions.

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    Capturing the effects of flower strips on natural pest control in agronomic land use models

    Year: 2025

    Authors: Sponagel, C; Klinnert, A; Catarino, R; Beber, C; Baldoni, E; Barbosa, AL; Witte, F; Bahrs, E; Fellmann, T

    Journal: Agricultural Systems

    Abstract: Context Given policy objectives for pesticide reduction, functional biodiversity is increasingly important for agricultural production. However, economic land use optimisation models rarely account for the interplay between agricultural production and functional biodiversity, like natural pest control (NPC). Objective We present and discuss an approach to consider feedback effects between NPC and agricultural production in a geodata-based farm economic land use model. Methods The geodata-based land use model PALUD was extended to incorporate interactions between NPC and crop yields. This included linking a generic NPC model, based on semi-natural habitats, with an econometric approach to estimate yield gaps as a function of NPC potential. As a case study, the model was then applied to the German state Brandenburg, using permanent flower strips as example to promote NPC. Here, we analysed the impacts of enhancing NPC potential on food production and gross margins from arable land use. Results and conclusions Our analysis revealed that a higher level of NPC through flower strips improved gross margins. by up to 6.4 % and crop production by up to 1.2 % within a pesticide-free environment in Brandenburg. Despite inherent limitations and uncertainties of the approach, our study provides a pivotal advancement in integrating NPC into economic land use models. Future refinements incorporating more detailed knowledge on context-specific interactions between crops, pests and predators will improve model robustness. Our approach and case study results provide valuable insights for policy-making on tailored sustainable landscape development and serve as a foundation for future modelling efforts. Significance To our knowledge the interaction between NPC and crop yields has not yet been integrated into any geospatially based economic land use model before. Incorparating these interactions is vital for guiding policies towards sustainable agricultural systems. In this respect it is important to develop and discuss further methodological approaches.

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    How effective are VAT reforms in improving healthy dietary choices by EU consumers?

    Year: 2025

    Authors: Farkas, B; Pérez-Domínguez, I; Pieralli, S; Elleby, C

    Journal: Agricultural and Resource Economics

    Abstract: Governments are increasingly considering fiscal instruments to improve dietary health. This paper quantifies the medium-term impacts on European food markets of a differentiated VAT policy that promotes healthy food consumption while discouraging intake of less nutritious products. Scenarios involve reduced VAT on grains, pulses, and poultry, and increased rates on beef, pork, sugar, and highfat dairy. Our results show a significant decline in domestic consumption of targeted foods. However, part of this reduction is exported to other markets – a phenomenon described as “health leakage,” raising questions about the broader effectiveness of such fiscal interventions.

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Models

AGLINK-COSIMO

Aglink-Cosimo is a comprehensive partial equilibrium model for global agriculture, and used to generate the baseline projections for many of the countries in the OECD-FAO Agricultural Outlook. At the EU level, it is used to produce the EU Medium-term Outlook

AGMEMOD

AGMEMOD (Agricultural Member State Modelling) is the name of a partial equilibrium model and of the network of agricultural economists working with it. An Outlook at Member State level for the European Union is produced annually.

AGMEMOD

CAPRI


CAPRI (Common Agricultural Policy Regionalised Impact Modelling System) is an economic model developed by European Commission research funds. Operational since almost a decade, it supports decision making related to the Common Agricultural Policy based on sound scientific quantitative analysis. 

CAPRI logo

IFM-CAP

The Individual Farm Model for Common Agricultural Policy Analysis (IFM-CAP) is the first EU-wide individual farm level model aiming to assess the impacts of CAP on farm economics and environmental effects. The rationale for such a farm-level model is based on the increasing demand for a micro simulation tool capable to model farm-specific policies and to capture farm heterogeneity across the EU in terms of policy representation and impacts.

DEMETRA official page

MAGNET

MAGNET (Modular Applied GeNeral Equilibrium Tool) is a global general equilibrium model that has been widely used to simulate the impacts of agricultural, trade, land and bioenergy policies on the global economy with a particular focus on the impacts on land use, agricultural prices, nutrition and household food security.

Partners

CITA - Aragón

CITA (Centro de Investigación y Tecnología Agroalimentaria) of Aragón, Spain, is a Research Public Organization belonging to the Government of Aragón.

CITA

EuroCARE

The European Centre for Agricultural, Regional and Environmental Policy Research (EuroCARE GmbH Bonn) is a consultancy specialized in quantitative and qualitative analysis of agricultural and environmental policies. EuroCARE's mission is to deliver scientifically sound and independent analysis, bridging the gap between academic research and policy design.

EuroCARE

Thünen Institute

The Thünen Institute (Braunschweig) is a German Federal Research Institute for Rural Areas, Forestry and Fisheries, providing research for scientifically-based decision-making.

Thünen Institute

UPM

Universidad Politécnica de Madrid (UPM) - The Department of Agricultural Economics at the Technical University Madrid contributes to several projects with the CAPRI model.

UPM

WUR- Netherland

The mission of Wageningen University & Research (WUR) is ‘To explore the potential of nature to improve the quality of life’.

The domain of WUR consists of three related core areas:

  • Food, feed & biobased production
  • Natural resources & living environment
  • Society & well-being
Wageningen university logo

Projects

GTAP

The Global Trade Analysis Project (GTAP) is a global network of researchers and policy makers conducting quantitative analysis of international policy issues. GTAP is coordinated by the Center for Global Trade Analysis in Purdue University's Department of Agricultural Economics.

GTAP

Medium-term agricultural outlook

The EU Medium-term outlook on the prospects for agricultural markets and income, published once a year, presents the outlook for major EU agricultural markets, income and environment until 2030. It is based on a set of assumptions regarding macroeconomic conditions, the agricultural and trade policy environment, and international market developments.

OECD-FAO Agricultural Outlook

The Agricultural Outlook is a collaborative effort of the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. It brings together the commodity, policy and country expertise of both organisations and input from collaborating member countries to provide an annual assessment of prospects for the coming decade of national, regional and global agricultural commodity markets.

SUPREMA

SUPREMA Support for Policy Relevant Modelling of Agriculture) - Impact assessments in areas of agriculture are often based on projections delivered by models. Policies affecting agriculture are becoming more and more interrelated. SUPREMA comes to address this challenge by bringing models closely together.

Short-term agricultural outlook

Based on the latest data and the reflections of market experts within the European Commission, the short-term outlook for EU agricultural markets is published three times per year (in early spring, early summer and early autumn).

Data platforms & databases

AMECO

AMECO is the annual macro-economic database of the European Commission's Directorate General for Economic and Financial Affairs. The database is used for analysis and reports produced by the directorate general. It contains data for the EU, the euro zone, EU countries and candidate countries, as well as other OECD countries.

AMECO

Agri-food data portal

Data on national and European agriculture and common agricultural policy (CAP), provided by the European Commission's agricultural and rural development department

Agri-food data portal

Agriculture database - EUROSTAT

Eurostat statistics on agriculture cover the following topics:

  • Structure of farms, orchards & vineyards;
  • Economic accounts for agriculture;
  • Agricultural prices and prices indices;
  • Agricultural production;
  • Organic farming;
  • Agriculture and environment.
EUROSTAT agriculture

Comext

Comext is Eurostat's reference database for detailed statistics on international trade in goods

COMEXT

Comtrade

UN Comtrade is a repository of official international trade statistics and relevant analytical tables.

COMEXT

EUROSTAT- Full statistics database

The full range of data publically available at Eurostat.

EUROSTAT

FADN

The farm accountancy data network (FADN) monitors farms' income and business activities. It is also an important informative source for understanding the impact of the measures taken under the common agricultural policy.

FADN

GTAP database

The centerpiece of the Global Trade Analysis Project is a global data base describing bilateral trade patterns, production, consumption and intermediate use of commodities and services.

GTAP

IMF data

The IMF publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators. Manuals, guides, and other material on statistical practices at the IMF, in member countries, and of the statistical community at large are also available.

IMF

OECD data

Find, compare and share the latest OECD data: charts, maps, tables and related publications.

OECD

International organizations

FAO

The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations that leads international efforts to defeat hunger.

FAO's goal is to achieve food security for all and make sure that people have regular access to enough high-quality food to lead active, healthy lives.

FAO

IMF

The International Monetary Fund, or IMF, promotes international financial stability and monetary cooperation. It also facilitates international trade, promotes employment and sustainable economic growth, and helps to reduce global poverty. The IMF is governed by and accountable to its 190 member countries.

IMF

OECD

The Organisation for Economic Co-operation and Development (OECD) is an international organisation that works to build better policies for better lives. OECD's goal is to shape policies that foster prosperity, equality, opportunity and well-being for all.

OECD

USDA

U.S. Department of Agriculture.

USDA

Knowledge platforms

Competence Centre on Modelling

We promote a responsible, coherent and transparent use of modelling to support the evidence base for EU policies.

CCOM

Newsletters

Newsletter covering outlook for EU agricultural markets

For obtaining up-to-dated information on estimates and forecasts for EU agricultural markets, please subscribe to the dedicated newsletter of the European Commission - Agriculture and Rural Development.

Policy pages

European Green Deal

Climate change and environmental degradation are an existential threat to Europe and the world. To overcome these challenges, Europe needs a new growth strategy that will transform the Union into a modern, resource-efficient and competitive economy.

UN SDGs

The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, provides a shared blueprint for peace and prosperity for people and the planet, now and into the future.

SDGs

Research programmes pages

Horizon 2020 - R&I programme 2014-2020

Horizon 2020 EU Research and Innovation programme available over 7 years (2014 to 2020) with nearly €80 billion of funding.

Horizon 2020

Horizon Europe - R&I programme 2021-2027

Horizon Europe is the EU's key funding programme for research and innovation with a budget of €95.5 billion. It tackles climate change, helps to achieve the UN's Sustainable Development Goals and boosts the EU's competitiveness and growth.

Horizon Europe

Tools

iMAP explorer

iMAP Explorer

Explore the features of the different iMAP models (Aglink-COSIMO, AGMEMOD, CAPRI, IFM-CAP and MAGNET), such as indicators, commodities, granularity, time and space horizons, and the coverage of policy instruments displayed from different perspectives.

Know more...

The dashboard presents key information on e.g.: indicators, commodities, granularity, time and space horizons, and the coverage of policy instruments displayed from different perspectives.

The information and views set out in this dashboard are those of the JRC and do not necessarily reflect the official opinion of the European Commission. The sources used for the compilation of the dashboard include the Scenar2030 report, the JRC model inventory MIDAS, deliverables of the H2020 projects SUPREMA and BioMonitor and information provided by JRC modelling teams.

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