Leistungen
Final Report on communication, dissemination and impact
Report on improvements to the current EU and global modelsThis deliverable reports upon improvements of current models in WP5 following a) harmonization of production system, sector and farm type based on MIND STEP data framework developed in WP2 b) improved representation/adoption of mitigation technologies c) improved elasticities of substitution/transformation between land uses d) improved risk representation e) improved elasticities of transformation/impacts on productivity coefficients f) improved market power parameters and price transmission elasticities.
Interim report on communication, dissemination and impact of project activitiesInterim report on the communication, dissemination and impact of project activities in MIND STEP.
List of data storage and processing capacities required by partners WP2-6Beta version of a generic wrapper to allow a standardized communication channel between the models List of data storage and processing capacities required by partners WP2-6
Report on modelling crop management practices and interfaces to the MIND STEP model toolboxDescription of innovative microeconometric production choice models for empirically analysing farmers crop management choices yield levels chemical input uses acreages and crop management practices CMP
MIND STEP PlatformThis deliverable will initiate the MIND STEP Platform of the project website to support Stakeholder Platform exchanges.
Final report on the concept of the MIND STEP model toolboxDevelop protocols related to the data exchange across scales Propose combinations of the models to be used for assessment of different types of EU policies and global events depending on the geographical scope of the analysis Together with D31 and D41 this delivers the final report on the concept of the MIND STEP model toolbox
Indicator framework for measuring the impact of policies/global drivers on IDM units in agricultureIdentify indicators for monitoring and evaluating the impacts of policy measures and drivers on IDM units in agriculture. Organise a stakeholder workshop to discuss and consolidate the list of indicators
Communication, Dissemination and Impact Strategy and PlanThe Communication, Dissemination and Impact Strategy and Plan will be a strategic document establishing individual partner responsibilities and timelines, guidelines and suggestions for dissemination. The deliverable will analyse dissemination target groups and match them with the most appropriate channels, key messages for communication, and external partners with whom to cooperate on co-dissemination.
Common handbook for maintenance and continuation of interfaces for economic and biophysical data handling for farm modelling at IDM unit levelsCommon handbook for maintenance and continuation of interfaces for economic and biophysical data handling for farm modelling at IDM unit levels This is part of the Exploitation Strategy and Plan ESP
Report on modelling risk management and interfaces to the MIND STEP model toolboxDescription of a farm level simulation model to analyse the risk-reducing impacts of different Risk Management Instruments.
Report on extensions of Farm AgriPoliS and experimental insights with FarmAgriPoliS on farmers' response to Rural Development measures and opportunities and interfaces with the MIND STEP model toolboxReport on extensions of FarmAgriPoliS Report on experimental insights with FarmAgriPoliS on farmers response to Rural Development measures and opportunities
Interim report 2 on communication, dissemination and impact of project activitiesSummary of the communication dissemination and impact of project activities in MIND STEP
Report on options for quality management, validation requirements and suitability of validation tools.Description of a guideline and identification of indicators to assess model validity on different scales the common framework and indicator system for model validation This framework aims to ensure eg that a tools are suitable to investigate relevant policy measures b cover key indicators of interest and c provide valid results The resulting framework is considered as a mean of quality management within MIND STEP
Summary of required data from WP 3/4/5Collection, review and description of data requirements of modelling work conducted in WP3, WP4, WP5 and WP6.
Report on the major gaps of the current models in terms of policy/global driver coverageCritical review of the existing IDM models and identify the major gaps and innovations needed in policy and/or global driver coverage. D1.1, D1.2 and D1.3 constitute the “conceptual framework” for the whole MIND STEP project.
Exploitation Strategy and PlanFinal outline of strategy and plan for exploiting results of MIND STEP after the end of the project.
Report on protocol to link the new tools to IDMs and current large scale models.Description of an interface between models in WP4 and IDMs in WP3 in terms of inputoutput variables to ensure the conceptual consistency of the link in terms of behavioral assumptions resolution and time horizon The same will done with respect to models in WP4 and the large scale models in WP5 This should result in a protocol to ensure the longterm policy relevance of the new models in the MIND STEP model toolbox
Report on specification of tool requirementsDescription of criteria and requirements that models should fulfil in order to fit in the modular and extendable model structure of MIND STEP. This will deliver a protocol with respect to the functionality of the individual models as well as requirements concerning interfaces between models in the MIND STEP model toolbox.
Literature review of methods for linking economic and bio-physical data basesDescription of methodologies and approaches of spatial matching between socio-economic entities and environmental conditions, crucial for understanding and modelling farmers’ behaviour in WP3 and WP4.
Report on integration of complex IDMs in ABMs and interfaces with the MIND STEP model toolboxDevelopment and description of a) interface between FARMDYN and Agripolis b) the trained surrogate model approximating the input/output relations from FARMDYN using a highly flexible deep learning neural network (DNN) c) replacing the individual farm behaviour in AgriPoliS using the trained surrogate model.
Report on policies and global drivers affecting IDM units in EU agricultureReview existing policies and future policy visions as well as key global drivers affecting IDM farm units and the agricultural sector in the EU. Identify key policy questions and potential policy instruments to be included in the MIND STEP modelling system.
Draft Exploitation Strategy and PlanDraft of the exploitation strategy and plan developed in MIND STEP
Report to model the supply chain mechanisms and the bargaining position of farmers along the chain and interfaces with the MIND STEP model toolboxDescription of IDM models and price formation for different actors within the supply chain. The IDM models include market mechanisms, institutional arrangements and coordination tools along the chain (e.g. contracting, producer organisations). The IDM models focus on pigs/pork and tomatoes supply chains in Italy and pig/pork and sugarbeet/sugar supply chains in Germany.
Report on modelling greenhouse gas emission including adoption behaviour of farmers regarding mitigation strategies and interfaces to the MIND STEP model toolboxDescription of parameterisation and results of an IDM model analysing mitigation strategies to climate change of selected number of farm types in regions in Germany and the Netherlands. The models are based on geo-referenced farms linking financial economic and biophysical datasets. Behavioural economic theories and machine learning techniques will be applied for improved model parameterisation.
Report on overarching IDM model of individual farms and interfaces with the MIND STEP model toolboxDescription and development of an overarching model structure for modelling IDM farm units in the agricultural sector This deliverable describes the selection and modelling of the key functionalities that are common to all farm types and regions Ideas and approaches regarding this overarching model structure will be shared further developed and sharpened working together with other consortia financed under the topic This is a continuation of Task 22 and D23
Report on stakeholder workshop on transferability, usability and functionality of the toolboxReport on stakeholder workshop on transferability usability and functionality of the toolbox The aim of this workshop is a to establish an early and open dialog to fosters transparency of the underlying model structure and requirements and b to address demands of the stakeholders
Report on downscaling of current EU and global modelsReview of indicators that need to be downscaled and further enhancement of downscaling techniques to provide them at high spatial, farm type and regional resolution. Variables needed for the downscaling depend on the indicators as defined in WP1 and will be included in the data framework as defined in WP2.
A guide/handbook to build an interface for accessing the data in the projectGuide that lists the properties and technical requirements for the interfaces needed to integrate data from multiple heterogeneous sources and applied to data needs of the modelling work conducted in WP3, WP4, WP5 and WP6.
Report on the validation of the MIND STEP model toolbox approach and proof of conceptResults of empirical validation and process validation. Empirical validation include results of benchmarking, robustness checks and sensitivity analysis. Results of application of new models included in the MIND STEP model toolbox to other regions in Europe. These applications are input for a roadmap for integrated (ex-ante) assessment including the establishment of EU-wide models containing the IDM unit
Common processing planPrototype for Interfaces for economic databases (2.3) /bio-physical databases (2.4)/large scale data (2.5)/current models (2.6)
Report on modelling structural change and farm interaction on land markets and interfaces with the MIND STEP model toolboxReport on farm exit estimation for Norway and Germany Report on IFMCAP land market model development including information about location probability Task 25 different land qualities and exit decision probabilities to account for structural change
Beta version of a generic wrapper to allow a standardized communication channel between the models
Access to a computer cluster including a the appropriate management softwareRelease of the data services and download services
Final version of Interfaces for economic databases (2.4)/bio-physical databases (2.5)/large scale data(2.5)/current models (2.6)
Final version of Interfaces for economic databases (2.3)/bio-physical databases (2.4)/large scale data(2.5)/current models (2.6)
Prototype of a wrapper to allow a standardized communication channel between the modelsPrototype of a generic wrapper to allow a standardized communication channel between the models.
Database for linking economic and bio-physical dataDescription of database for linking economic and bio-physical data.
Report on policy evaluation using the MIND STEP model toolboxWhat can the MIND STEP toolbox offer, and what not. Results of MIND STEP model toolbox applications to actual key policy questions and events.
Setup of the version control system and the continuous integration toolPrototype of the data services and download services
Prototype for Interfaces for economic databases (2.4) /bio-physical databases (2.5)/large scale data (2.5)/current models (2.6)
Prototype for Interfaces for economic databases (2.3) /bio-physical databases (2.4)/large scale data (2.5)/current models (2.6)
Veröffentlichungen
Autoren:
Klaus Mittenzwei; Jordan Hristov; Ignacio Pérez-Domínguez; Peter Witzke
Veröffentlicht in:
Q Open - A Journal of Agricultural, Climate, Environmental, Food, Resource, and Rural Development Economics, Ausgabe 12, 2023, ISSN 2633-9048
Herausgeber:
A Journal of Agricultural, Climate, Environmental, Food, Resource, and Rural Development Economics
DOI:
10.1093/qopen/qoad021
Autoren:
Christoph Duden, Oliver Mußhoff, Frank Offermann
Veröffentlicht in:
Agricultural Economics, 2022, ISSN 0169-5150
Herausgeber:
Elsevier BV
DOI:
10.1111/agec.12763
Autoren:
Koutchadé, Obafèmi Philippe; Carpentier, Alain; Féménia, Fabienne; Koutchadé, Obafèmi Philippe; Carpentier, Alain; Féménia, Fabienne
Veröffentlicht in:
American Journal of Agricultural Economics, Ausgabe 4, 2020, ISSN 1467-8276
Herausgeber:
American Journal of Agricultural Economics
DOI:
10.22004/ag.econ.307209
Autoren:
Wolfgang Britz, Pavel Ciaian, Alexander Gocht, Argyris Kanellopoulos, Dimitrios Kremmydas, Marc Müller, Athanasios Petsakos, Pytrik Reidsma
Veröffentlicht in:
Agricultural Systems, Ausgabe 191, 2021, Seite(n) 103133, ISSN 0308-521X
Herausgeber:
Applied Science Publishers
DOI:
10.1016/j.agsy.2021.103133
Autoren:
Linmei Shang; Christoph Pahmeyer; Thomas Heckelei; Sebastian Rasch; Hugo Storm
Veröffentlicht in:
Crossref, Ausgabe 7, 2023, ISSN 1385-2256
Herausgeber:
Kluwer Academic Publishers
DOI:
10.1007/s11119-023-10015-x
Autoren:
Silvia Coderoni; John Helming; Marta Pérez-Soba; Paolo Sckokai; Alessandro Varacca
Veröffentlicht in:
Environmental Research Letters, 2021, ISSN 1748-9326
Herausgeber:
Institute of Physics Publishing
DOI:
10.1088/1748-9326/ac1f45
Autoren:
Wang, Scarlett; Höhler, Julia; Ang, Frederic; Oude Lansink, Alfons
Veröffentlicht in:
Journal of Cleaner Production, 2023, ISSN 0959-6526
Herausgeber:
Elsevier BV
DOI:
10.1016/j.jclepro.2023.139187
Autoren:
Linmei Shang; Jifeng Wang; David Schäfer; Thomas Heckelei; Juergen Gall; Franziska Appel; Hugo Storm
Veröffentlicht in:
Journal of Agricultural Economics, Ausgabe 3, 2023, ISSN 0021-857X
Herausgeber:
Imperial College of Science
DOI:
10.1111/1477-9552.12543
Autoren:
Elodie Letort, Fabienne Femenia
Veröffentlicht in:
European Review of Agricultural Economics, 2023, ISSN 1464-3618
Herausgeber:
European Review of Agricultural Economics
DOI:
10.1093/erae/jbad037
Autoren:
Stefan Frank; Petr Havlik; Andrzej Tabeau; Peter Witzke; Esther Boere; Mariia Bogonos; Andre Deppermann; Michiel van Dijk; Michiel van Dijk; Lena Höglund-Isaksson; Charlotte Janssens; Charlotte Janssens; Monika Kesting; Hans van Meijl; Ignacio Perez-Dominguez; Hugo Valin
Veröffentlicht in:
Environmental Research Letters, 16(10), Ausgabe 2, 2021, ISSN 1748-9326
Herausgeber:
Institute of Physics Publishing
DOI:
10.1088/1748-9326/ac2967
Autoren:
Obafemi Philippe Koutchade; Alain Carpentier; Fabienne Femenia
Veröffentlicht in:
"American Journal of Agricultural Economics, Oxford University Press (OUP), 2021, 103 (4), pp.1502-1524. ⟨10.1111/ajae.12152⟩", Ausgabe 9, 2020, ISSN 0002-9092
Herausgeber:
Blackwell Publishing Inc.
DOI:
10.1111/ajae.12152
Autoren:
Scarlett Wang, Frederic Ang, Alfons Oude Lansink
Veröffentlicht in:
Agricultural Economics, 2023, ISSN 1574-0862
Herausgeber:
Wiley Online Library
DOI:
10.1111/agec.12804
Autoren:
Christoph Pahmeyer, David Schäfer, Till Kuhn, Wolfgang Britz
Veröffentlicht in:
Data in Brief, Ausgabe 36, 2021, Seite(n) 107007, ISSN 2352-3409
Herausgeber:
Elsevier BV
DOI:
10.1016/j.dib.2021.107007
Autoren:
Linmei Shang; Thomas Heckelei; Maria K. Gerullis; Jan Börner; Sebastian Rasch
Veröffentlicht in:
Agricultural Systems, Ausgabe 1, 2021, ISSN 0308-521X
Herausgeber:
Applied Science Publishers
DOI:
10.1016/j.agsy.2021.103074
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