| 1. |
- Basnet, Shyam Kumar, et al.
(författare)
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A Bayesian econometrics and risk programming approach for analysing the impact of decoupled payments in the European Union*
- 2021
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Ingår i: Australian Journal of Agricultural and Resource Economics. - : Wiley. - 1364-985X .- 1467-8489. ; 65:3, s. 729-759
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Tidskriftsartikel (refereegranskat)abstract
- We estimate a risk-based programming, individual farm model and apply it to study the wealth effects of crop-related, decoupled direct payments under the European Union (EU) Common Agricultural Policy. The model expands on previous work on estimating risk-based programming models by applying a robust Bayesian econometric framework. The results indicate that the wealth effect varies greatly between individual farms, but that its impact on aggregate crop production is small. For larger farms, in particular, removing the decoupled payments, while keeping total land constant, increases the diversity of the cropping plan.
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| 2. |
- Ewert, Frank, et al.
(författare)
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A methodology for enhanced flexibility of integrated assessment in agriculture
- 2009
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Ingår i: Environmental Science and Policy. - : Elsevier BV. - 1462-9011. ; 12:5, s. 546-561
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Tidskriftsartikel (refereegranskat)abstract
- Agriculture is interrelated with the socio-economic and natural environment and faces increasingly the problem of managing its multiple functions in a sustainable way. Growing emphasis is on adequate policies that can support both agriculture and sustainable development. Integrated Assessment and Modelling (IAM) can provide insight into the potential impacts of policy changes. An increasing number of Integrated Assessment (IA) models are being developed, but these are mainly monolithic and are targeted to answer specific problems. Approaches that allow flexible IA for a range of issues and functions are scarce. Recently, a methodology for policy support in agriculture has been developed that attempts to overcome some of the limitations of earlier IA models. The proposed framework (SEAMLESS-IF) integrates relationships and processes across disciplines and scales and combines quantitative analysis with qualitative judgments and experiences. It builds on the concept of systems analysis and attempts to enable flexible coupling of models and tools. The present paper aims to describe progress in improving flexibility of IAM achieved with the methodology developed for SEAMLESS-IF. A brief literature review identifying limitations in the flexibility of IAM is followed by a description of the progress achieved with SEAMLESS-IF. Two example applications are used to illustrate relevant capabilities of SEAMLESS-IF. The examples refer to (i) the impacts on European agriculture of changes in world trade regulations and (ii) regional impacts of the EU Nitrates Directive in combination with agro-management changes. We show that improving the flexibility of IAM requires flexibility in model linking but also a generic set up of all IA steps. This includes problem and scenario definition, the selection and specification of indicators and the indicator framework, the structuring of the database, and the visualization of results. Very important is the flexibility to integrate, select and link models, data and indicators depending on the application. Technical coupling and reusability of model components is greatly improved through adequate software architecture (SEAMLESS-IF uses OpenMI). The use of ontology strongly supports conceptual consistency of model linkages. However, the scientific basis for linking models across disciplines and scales is still weak and requires specific attention in future research. We conclude that the proposed framework significantly advances flexibility in IAM and that it is a good basis to further improve integrated modelling for policy impact assessment in agriculture. (C) 2009 Elsevier Ltd. All rights reserved.
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| 3. |
- Latka, Catharina, et al.
(författare)
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The potential role of producer and consumer food policies in the EU to sustainable food and nutrition security
- 2018
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- EU sustainable food and nutrition security is no sure-fire success. The future ofthe agro-food system is uncertain and subject to different macro-level trends.Previous analysis revealed the role of food system drivers creating challenges andopportunities for dietary and environmental improvements under certain futureconstellations. However, these challenges and opportunities need to be addressed by policies to allow for actual improvements in the sustainabilityperformance of EU food systems, for people, planet and profit. In this deliverable,an assessment and pre-test of potential policy measures is carried out. The policyanalyses are contrasted to a ‘business-as-usual’ baseline scenario with currenttrends of food system drivers. We apply the SUSFANS modelling toolbox in orderto test relevant policy measures in four distinct aqua-agro-food policy sectors.Regarding health and nutrition of the EU population, we provide a ranking ofpotential dietary policies and interventions based on their effectiveness,implementation costs and restrictiveness for consumers and producers. Based onthis overview, options for health and nutrition policy are designed containing amixture of different policy instruments. These apply – in line with the allocationof policy responsibilities in the EU - at the level of individual member states andnot at the realms of an EU policy. In the context of the Common AgriculturalPolicy (CAP), we assess the impact of a livestock density restriction on EU Agricultural areas. Results indicate a reduction of soil nutrient surpluses (-9 to -13%) and of greenhouse gas emissions (-9%) at EU average and considerably stronger in the livestock density and over-fertilization hotspots. Trade openness restricts the impact on food consumption and dietary change of EU consumers. Three Common Fisheries Policies (CFP) are tested with the newly developed fish modules of GLOBIOM and CAPRI: Directing capture in EU waters to levels that keep fish stocks at the maximum sustainable yield (MSY), or at the maximum economic yield (MEY), and the implementation of national aquaculture growth plans composed by EU member states. Our results show limited policy impacts due to the rlatively small size of the EU fish producing sector with some trade butlimited consumption changes. Finally, different storage policies are tested with the new short-term volatility module of GLOBIOM. The scenarios reveal that storage availability and intervention prices reduce price volatility caused by yield shocks. The assessments illustrate that individual, yet unaligned policy measures can already contribute significantly to reaching sustainable food and nutritionsecurity. On the way to the final foresight assessment extensions are require regarding a) metrics quantifiability, b) the harmonization of metrics computationapproaches, and c) smaller model improvements
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| 4. |
- Therond, Olivier, et al.
(författare)
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Methodology to translate policy assessment problems into scenarios: the example of the SEAMLESS integrated framework
- 2009
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Ingår i: Environmental Science and Policy. - : Elsevier BV. - 1462-9011. ; 12:5, s. 619-630
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Tidskriftsartikel (refereegranskat)abstract
- Scenario-based approaches in environmental and policy assessment studies are increasingly applied within integrated assessment and modelling frameworks. The SEAMLESS project develops such an integrated framework (SEAMLESS-IF) aiming to assess, ex-ante, impacts of alternative agro-environmental policies on the sustainability of agricultural systems. A particular challenge in this context is the consistent translation of a wide range of policy questions into scenarios that a modelling framework can assess. The present work defines a methodology for scenario-development in integrated policy assessment with specific emphasis on SEAMLESS-IF. After a general overview on scenario concepts for integrated policy assessment the adopted scenario concept and its development procedure is presented. They allow building integrated scenarios capturing the range of drivers of the assessed agricultural system in a consistent way across temporal and spatial scales. Then focus is on the particular procedures to translate the policy assessment questions into scenario parameters and to implement these parameters into SEAMLESS-IF. Two examples targeted at European and regional level combining integrated assessments of policy changes and technological innovations are considered to illustrate the SEAMLESS scenario concept. We conclude that the proposed methodology to translate policy assessment problems into scenarios effectively supports integrated assessment in SEAMLESS-IF or even in other modelling frameworks. (C) 2009 Elsevier Ltd. All rights reserved.
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| 5. |
- van Ittersum, Martin, et al.
(författare)
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Integrated Assessment of Agricultural and Environmental Policies – A Modular Framework for the EU (SEAMLESS)
- 2008
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Ingår i: Agricultural Systems. - : Elsevier BV. - 0308-521X. ; 96:1-3, s. 150-165
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Tidskriftsartikel (refereegranskat)abstract
- Abstract in UndeterminedAgricultural systems continuously evolve and are forced to change as a result of a range of global and local driving forces. Agricultural technologies and agricultural, environmental and rural development policies are increasingly designed to contribute to the sustainability of agricultural systems and to enhance contributions of agricultural systems to sustainable development at large. The effectiveness and efficiency of such policies and technological developments in realizing desired contributions could be greatly enhanced if the quality of their ex-ante assessments were improved. Four key challenges and requirements to make research tools more useful for integrated assessment in the European Union were defined in interactions between scientists and the European Commission (EC), i.e., overcoming the gap between micro-macro level analysis, the bias in integrated assessments towards either economic or environmental issues, the poor re-use of models and hindrances in technical linkage of models. Tools for integrated assessment must have multi-scale capabilities and preferably be generic and flexible such that they can deal with a broad variety of policy questions. At the same time, to be useful for scientists, the framework must facilitate state-of-the-art science both on aspects of the agricultural systems and on integration. This paper presents the rationale, design and illustration of a component-based framework for agricultural systems (SEAMLESS Integrated Framework) to assess, ex-ante, agricultural and agri-environmental policies and technologies across a range of scales, from field-farm to region and European Union, as well as some global interactions. We have opted for a framework to link individual model and data components and a software infrastructure that allows a flexible (re-)use and linkage of components. The paper outlines the software infrastructure, indicators and model and data components. The illustrative example assesses effects of a trade liberalisation proposal on EU's agriculture and indicates how SEAMLESS addresses the four identified challenges for integrated assessment tools, i.e., linking micro and macro analysis, assessing economic, environmental, social and institutional indicators, (re-)using standalone model components for field, farm and market analysis and their conceptual and technical linkage.
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| 6. |
- Zurek, Monika, et al.
(författare)
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Assessing Sustainable Food and Nutrition Security of the EU Food System-An Integrated Approach
- 2018
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Ingår i: Sustainability. - : MDPI AG. - 2071-1050. ; 10:11
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Tidskriftsartikel (refereegranskat)abstract
- Steering the EU food system towards a sustainability transformation requires a vast and actionable knowledge base available to a range of public and private actors. Few have captured this complexity by assessing food systems from a multi-dimensional and multi-level perspective, which would include (1) nutrition and diet, environmental and economic outcomes together with social equity dimensions and (2) system interactions across country, EU and global scales. This paper addresses this gap in food systems research and science communication by providing an integrated analytical approach and new ways to communicate this complexity outside science. Based on a transdisciplinary science approach with continuous stakeholder input, the EU Horizon2020 project 'Metrics, Models and Foresight for European SUStainable Food And Nutrition Security' (SUSFANS) developed a five-step process: Creating a participatory space; designing a conceptual framework of the EU food system; developing food system performance metrics; designing a modelling toolbox and developing a visualization tool. The Sustainable Food and Nutrition-Visualizer, designed to communicate complex policy change-impacts and trade-off questions, enables an informed debate about trade-offs associated with options for change among food system actors as well as in the policy making arena. The discussion highlights points for further research related to indicator development, reach of assessment models, participatory processes and obstacles in science communication.
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