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Heinschink, K.; Sinabell, F.; Url, T. |
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Title |
Elements of an Index-based Margin Insurance. An Application to Wheat Production in Austria |
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2017 |
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WIFO Working Papers |
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536 |
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16 |
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TradeM |
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MA @ admin @ |
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5016 |
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Sinabell, F.; Heinschink, K.; Url, T. |
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Title |
Margin Insurance in Agriculture – a micro simulation approach of wheat and hog production in Austria |
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Tagungsband der 57. Jahrestagung der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V. (GEWISOLA) und 27. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie (ÖGA) “Agrar- und Ernährungswirtschaft zwischen Ressourcenef |
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2017-09-13 to 2017-09-15, Freising-Weihenstephan, Germany |
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TradeM |
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MA @ admin @ |
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5024 |
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Sinabell, F.; Schönhart, M.; Schmid, E. |
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Title |
Austrian Agriculture 2010-2050. Quantitative Effects of Climate Change Mitigation Measures. An analysis of the scenarios WEM, WAM, WAM+ and a sensitivity analysis of scenario WEM |
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2015 |
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Studie des Österreichischen Instituts für Wirtschaftsforschung im Auftrag des Umweltbundesamts |
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Vienna, Austria |
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Österreichisches Institut für Wirtschaftsforschung |
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TradeM |
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MA @ admin @ |
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5017 |
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Sinabell, F.; Kappert, R.; Kaul, H.-P.; Kratena, K.; Sommer, M. |
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Maisanbau in Österreich. Ökonomische Bedeutung und pflanzenbauliche Herausforderungen |
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2015 |
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Studie des Österreichischen Instituts für Wirtschaftsforschung im Auftrag des Ökosozialen Forums |
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Österreichisches Institut für Wirtschaftsforschung |
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TradeM |
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MA @ admin @ |
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5018 |
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Mitter, H.; Techen, A.-K.; Sinabell, F.; Helming, K.; Kok, K.; Priess, J.A.; Schmid, E.; Bodirsky, B.L.; Holman, I.; Lehtonen, H.; Leip, A.; Le Mouel, C.; Mathijs, E.; Mehdi, B.; Michetti, M.; Mittenzwei, K.; Mora, O.; Oygarden, L.; Reidsma, P.; Schaldach, R.; Schoenhart, M. |
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A protocol to develop Shared Socio-economic Pathways for European agriculture |
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2019 |
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Journal of Environmental Management |
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J. Environ. Manage. |
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252 |
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Unsp 109701 |
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EUR-Agri-SSP; Consistent storylines; Narrative; Integrated assessment; Social environmental system; Climate change; land-use change; global environmental-change; climate-change; scenario; development; transdisciplinary research; sustainability science; integrated-assessment; future; adaptation; framework |
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Abstract |
Moving towards a more sustainable future requires concerted actions, particularly in the context of global climate change. Integrated assessments of agricultural systems (IAAS) are considered valuable tools to provide sound information for policy and decision-making. IAAS use storylines to define socio-economic and environmental framework assumptions. While a set of qualitative global storylines, known as the Shared Socio-economic Pathways (SSPs), is available to inform integrated assessments at large scales, their spatial resolution and scope is insufficient for regional studies in agriculture. We present a protocol to operationalize the development of Shared Socio-economic Pathways for European agriculture – Eur-Agri-SSPs- to support IAAS. The proposed design of the storyline development process is based on six quality criteria: plausibility, vertical and horizontal consistency, salience, legitimacy, richness and creativity. Trade-offs between these criteria may occur. The process is science-driven and iterative to enhance plausibility and horizontal consistency. A nested approach is suggested to link storylines across scales while maintaining vertical consistency. Plausibility, legitimacy, salience, richness and creativity shall be stimulated in a participatory and interdisciplinary storyline development process. The quality criteria and process design requirements are combined in the protocol to increase conceptual and methodological transparency. The protocol specifies nine working steps. For each step, suitable methods are proposed and the intended level and format of stakeholder engagement are discussed. A key methodological challenge is to link global SSPs with regional perspectives provided by the stakeholders, while maintaining vertical consistency and stakeholder buy-in. We conclude that the protocol facilitates systematic development and evaluation of storylines, which can be transferred to other regions, sectors and scales and supports intercomparisons of IAAS. |
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2020-02-14 |
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English |
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0301-4797 |
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TradeM, ft_macsur |
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MA @ admin @ |
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5222 |
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