Records |
Author |
Mitter, H.; Schönhart, M.; Schmid, E. |
Title |
Integrated climate change impact and adaptation assessment for the agricultural sector in Austria |
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Conference Article |
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2014 |
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TradeM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
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MA @ admin @ |
Serial |
2650 |
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Author |
Mitter, H.; Schmid, E.; Schneider, U.A. |
Title |
Modelling impacts of drought and adaptation scenarios on crop production in Austria (Modellierung von Auswirkungen verschiedener Dürre- und Anpassungsszenarien auf die agrarische Pflanzenproduktion in Österreich) |
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Conference Article |
Year |
2014 |
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Jahrbuch der ÖGA |
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24 |
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223-234 |
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24. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie, 2014-09-25 to 2014-09-26, Vienna |
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TradeM |
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no |
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MA @ admin @ |
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5026 |
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Author |
Mitter, H.; Heumesser, C.; E., S. |
Title |
Modelling robust crop production protfolios to assess agricultural vulnerability to climate change |
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Conference Article |
Year |
2014 |
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TradeM |
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EAAE 2014 Congress Agri-Food and Rural Innovations for Healthier Societies. August 26 to 29Ljubljana, Slovenia, 2014-08-26 to 2014-08-29 |
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no |
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MA @ admin @ |
Serial |
2651 |
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Author |
Mittenzwei, K. |
Title |
Incorporating uncertainty in a deterministic agricultural sector model |
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Conference Article |
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2014 |
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Climate-induced uncertainty in crop yields is introduced in the Norwegian sector model Jordmod. The model is comprised of a supply module in which profits for more than 300 regional farms are maximized and a market module which maximizes social welfare in the agricultural sector. In the supply module, farmers determine their plant decisions and crop input levels (N-fertilizer) subject to a discrete number of weather outcomes affecting crop yields. After that, a specific weather distribution is chosen determining crop yields. The resulting input-output mix at farm level makes up the supply side of the commodity markets which together with linear demand functions determine equilibrium levels. The procedure is repeated for each discrete weather outcome. Note that plant decisions and crop input levels remain the same for all weather outcomes as farmers face the same uncertainty during all repetitions, but crop yield will vary. Hence, equilibrium prices and quantities will vary as well allowing their representation as stochastic distributions. In a preliminary empirical application, the stochastic results are contrasted with the deterministic results based on the mean values of the weather outcomes. This comparison will shed light on the potential error made by neglecting uncertainty at the farm level. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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MA @ admin @ |
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5089 |
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Author |
Minet, J.; Tychon, B.; Jacquemin, I.; François, L. |
Title |
Can a global dynamic vegetation model be used for both grassland and crop modeling at the local scale |
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Conference Article |
Year |
2014 |
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CropM; LiveM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
Call Number |
MA @ admin @ |
Serial |
2641 |
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