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Author |
Nieróbca, A.; Kozyra, J.; Doroszewski, A.; Zylowska, K. |
Title |
The agro-meteorological model for yields of winter triticale |
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Conference Article |
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2014 |
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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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MA @ admin @ |
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2684 |
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Nikolic, U.; Mitter, H.; Schmid, E.; F., S. |
Title |
Stand und Perspektiven des Sojaanbaues in Serbien (situation and outlook of soy bean production in Serbia) |
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Conference Article |
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2014 |
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TradeM |
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42. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie, Wien, 2014-09-25 to 2014-09-26 |
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MA @ admin @ |
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2685 |
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Author |
Olesen, J.E. |
Title |
Rainfed intensive crop systems |
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Book Chapter |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2014 |
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CropM |
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Cabi |
Place of Publication |
Wallingford |
Editor |
Fuhrer, J.; Gregory, P.J. |
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Climate Change Impact and Adaptation in Agricultural Systems |
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MA @ admin @ |
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2686 |
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Author |
Dietrich, J.P.; Schmitz, C.; Lotze-Campen, H.; Popp, A.; Muller, C. |
Title |
Forecasting technological change in agriculture-An endogenous implementation in a global, and use model |
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Journal Article |
Year ![sorted by Year field, ascending order (up)](img/sort_asc.gif) |
2014 |
Publication |
Technological Forecasting and Social Change |
Abbreviated Journal |
Technological Forecasting and Social Change |
Volume |
81 |
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Pages |
236-249 |
Keywords |
Technological change; Land use; Agricultural productivity; Land use; intensity; Research and development; land-use; research expenditures; productivity growth; impact; deforestation; forest; yield; Business & Economics; Public Administration |
Abstract |
Technological change in agriculture plays a decisive role for meeting future demands for agricultural goods. However, up to now, agricultural sector models and models on land use change have used technological change as an exogenous input due to various information and data deficiencies. This paper provides a first attempt towards an endogenous implementation based on a measure of agricultural land use intensity. We relate this measure to empirical data on investments in technological change. Our estimated yield elasticity with respect to research investments is 029 and production costs per area increase linearly with an increasing yield level. Implemented in the global land use model MAgPIE (”Model of Agricultural Production and its Impact on the Environment”) this approach provides estimates of future yield growth. Highest future yield increases are required in Sub-Saharan Africa, the Middle East and South Asia. Our validation with FAO data for the period 1995-2005 indicates that the model behavior is in line with observations. By comparing two scenarios on forest conservation we show that protecting sensitive forest areas in the future is possible but requires substantial investments into technological change. (C) 2013 Elsevier Inc. All rights reserved. |
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2016-10-31 |
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English |
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0040-1625 |
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CropM |
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no |
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MA @ admin @ |
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4789 |
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Author |
Müller, C. |
Title |
Impacts of Climate Change and Agricultural Modeling |
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Conference Article |
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2014 |
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CropM |
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Capacity Building Workshop for Regional Scientists Turn Down the Heat III: Regional Analysis (MNA/LAC/ECA), The Case for Resilience, Potsdam, Germany, 2014-03-11 to 2014-03-13 |
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MA @ admin @ |
Serial |
2669 |
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