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Porter, J.R.; Xie, L.; Challinor, A.J.; Cochrane, K.; Howden, S.M.; Iqbal, M.M.; Lobell, D.B.; Travasso, M.I. |
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Title |
Food security and food production systems |
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Book Chapter |
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Year |
2014 |
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485-533 |
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CropM |
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Cambridge University Press |
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Cambridge, United Kingdom and New York, NY, USA |
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Field, C.B.; Barros, V.R.; Dokken, D.J.; Mach, K.J.; Mastrandrea, M.D.; Bilir, T.E.; Chatterjee, M.; Ebi, K.L.; Estrada, Y.O.; Genova, R.C.; Girma, B.; Kissel, E.S.; Levy, A.N.; MacCracken, S.; Mastrandrea, P.R.; White, L.L. |
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Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel of Climate Change (IPCC) |
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Climate Change 2014: Impacts, Adaptation, and Vuln |
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MA @ admin @ |
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2734 |
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Author |
Angelova, D. |
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Title |
The state-contingent approach to production and choice under uncertainty: usefulness as a basis for economic modeling |
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Report |
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Year |
2014 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
FACCE MACSUR Rep. |
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3 |
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Pages |
Sp3-8 |
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Abstract |
The state-contingent approach developed by Chambers and Quiggin (2000) constitutes an attractive blend of a theory of production analysis under uncertainty and a theory of decision-making under uncertainty.One of the goals of this contribution is to introduce the reader to the approach by outlining its contents while comparing and contrasting it to related theories. With respect to production analysis: an emphasis is made on the ability of the approach to deliver well defined cost functions corresponding to stochastic production technologies. With respect to decision-making under uncertainty: the comparison with other theories consistent with a rational agent emphasizes the production theoretical basis of the state-contingent approach.It is the author’s belief that appropriately categorizing the state-contingent approach serves the primary goal of this work: to explore its usefulness as a basis for economic modeling. Some challenges regarding an empirical implementation are discussed: challenges in estimating the parameters of a state-contingent technology representation in general, as well as challenges arising from the fact that the approach is constructed around the argument pioneered by Leonard J Savage: that probabilities underlying economic decision-making are inherently subjective.(The financial support of ScienceCampus Halle is gratefully acknowledged.) No Label |
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FACCE MACSUR Reports |
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3 |
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MA @ admin @ |
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2225 |
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Author |
Helming, K. |
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Title |
Impact Assessment for Multifunctional Land Use |
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Book Chapter |
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Year |
2014 |
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Pages |
223-234 |
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CropM |
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Springer International Publishing |
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Cham |
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Mueller, L.; Saparov, A.; Lischeid, G. |
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Environmental Science and Engineering |
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MA @ admin @ |
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2471 |
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Author |
Webber, H.; Kahiluoto, H.; Rötter, R.P.; Ewert, F. |
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Title |
Enhancing climate resilience of cropping systems |
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Book Chapter |
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Year |
2014 |
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167-185 |
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CropM |
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CAB International |
Place of Publication |
Wallingford |
Editor |
Fuhrer, J.; Gregory, P.J. |
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Series Title |
Climate Change Impact and Adaptation in Agricultural Systems |
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MA @ admin @ |
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2897 |
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Author |
Olesen, J.E. |
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Title |
Rainfed intensive crop systems |
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Book Chapter |
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Year |
2014 |
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CropM |
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Cabi |
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Wallingford |
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Fuhrer, J.; Gregory, P.J. |
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Climate Change Impact and Adaptation in Agricultural Systems |
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no |
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MA @ admin @ |
Serial |
2686 |
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