| Records |
| Author |
Robinson, S.; van Meijl, H.; Willenbockel, D.; Valin, H.; Fujimori, S.; Masui, T.; Sands, R.; Wise, M.; Calvin, K.; Havlik, P.; Mason d’Croz, D.; Tabeau, A.; Kavallari, A.; Schmitz, C.; Dietrich, J.P.; von Lampe, M. |
| Title |
Comparing supply-side specifications in models of global agriculture and the food system |
Type |
Journal Article |
| Year |
2014 |
Publication |
Agricultural Economics |
Abbreviated Journal |
Agric. Econ. |
| Volume |
45 |
Issue |
1 |
Pages |
21-35 |
| Keywords |
global agricultural models; global food system scenario analysis; general equilibrium; partial equilibrium; growth; trade |
| Abstract |
This article compares the theoretical and functional specification of production in partial equilibrium (PE) and computable general equilibrium (CGE) models of the global agricultural and food system included in the AgMIP model comparison study. The two model families differ in their scopepartial versus economy-wideand in how they represent technology and the behavior of supply and demand in markets. The CGE models are deep structural models in that they explicitly solve the maximization problem of consumers and producers, assuming utility maximization and profit maximization with production/cost functions that include all factor inputs. The PE models divide into two groups on the supply side: (1) shallow structural models, which essentially specify area/yield supply functions with no explicit maximization behavior, and (2) deep structural models that provide a detailed activity-analysis specification of technology and explicit optimizing behavior by producers. While the models vary in their specifications of technology, both within and between the PE and CGE families, we consider two stylized theoretical models to compare the behavior of crop yields and supply functions in CGE models with their behavior in shallow structural PE models. We find that the theoretical responsiveness of supply to changes in prices can be similar, depending on parameter choices that define the behavior of implicit supply functions over the domain of applicability defined by the common scenarios used in the AgMIP comparisons. In practice, however, the applied models are more complex and differ in their empirical sensitivity to variations in specificationcomparability of results given parameter choices is an empirical question. To illustrate the issues, sensitivity analysis is done with one global CGE model, MAGNET, to indicate how the results vary with different specification of technical change, and how they compare with the results from PE models. |
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English |
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0169-5150 |
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| Notes |
CropM, TradeM, ft_macsur |
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| Call Number |
MA @ admin @ |
Serial |
4735 |
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Dáder, B.; Winters, A.; Moreno, A.; Fereres, A.; Gwynn-Jones, D. |
| Title |
Differences in plant chemistry and crop growth under specific wavelengths of the UV region |
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Conference Article |
| Year |
2014 |
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CropM |
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Final Network Meeting of COST Action FA0906 UV4Growth. Bled, Slovenia., 2014-03-30 to 2014-04-02 |
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no |
| Call Number |
MA @ admin @ |
Serial |
2374 |
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Dáder, B.; Fereres, A.; Moreno, A. |
| Title |
Effects of UV radiation on pests and plant pathogens. Keynote lecture |
Type |
Conference Article |
| Year |
2014 |
Publication |
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CropM |
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Conference Horticultural Stakeholders UV4Growth COST-Action FA0906. Odense, Denmark., 2014-03-09 to 2014-03-11 |
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no |
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MA @ admin @ |
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2375 |
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Dáder, B.; Moreno, A.; Fereres, A. |
| Title |
Impact of UV-A radiation on the performance of aphids and whiteflies and on the leaf chemistry of their host plants |
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Conference Article |
| Year |
2014 |
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CropM |
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Annual Conference of the Australian Entomological Society. Canberra, Australia., 2014-09-28 to 2014-10-01 |
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no |
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MA @ admin @ |
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2376 |
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| Author |
Challinor, A.E.A. |
| Title |
How have uncertainties in projected yields changed between AR4 and AR5 |
Type |
Conference Article |
| Year |
2014 |
Publication |
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CropM |
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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 @ |
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2359 |
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