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Section 3 describes in detail the revised version of the GTAP-W model. Section 4 shows an illustrative simulation exercise. GTAP-W is based on the version modified by Burniaux and Truong 2002 as well as on the previous GTAP-W model introduced by Berrittella et al. 2007. Few regions have markets for water. This paper describes the new version of GTAP-W a multi-region multi-sector computable general equilibrium model of the world economy. Using a previous version of the GTAP-W model a global...
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The GAP model is a common way to account for water use in agriculture and to use water allocation across all stakeholders in an economically sound way. This paper provides a detailed analysis of the water allocation in the agricultural sector using the GAP model in terms of water consumption and allocation at the national, regional and household levels. It shows the impact of the GAP (GCF, EU, GAP) model on water usage as expressed in terms of consumption and yield. The analysis is carried out for the case of a hypothetical 5,000 hectares (ha) irrigation with a maize crop of 5,000 ha/Yr produced annually by a farmer living in the rural region of Kiel (Germany). Our results demonstrate that the GAP model makes much more sense in the case of a small farmer who has a relatively small amount of irrigation water. For a larger farmer with much larger areas of irrigation and a lot more water to apply, the GCF or more complex GAP models can be the better fit in the case of water use across different regions. A common concern around the GAP model for water use in agriculture is the use of agricultural resources more effectively due to the increased efficiency. This may be perceived as an economic argument against using the GAP model for water use in agriculture. We do not think so, because a better use of a resource is a more efficient application of a resource. It is therefore not always economically better to use more resources to increase production (in other words, efficiency). In the case of water, it may often be more efficient to do so without increasing water consumption. Instead, we suggest that the GAP model can help to make comparisons of the performance of different water management schemes more meaningful when water is more scarce. Conclusion: The GAP model accounts for water use in the agricultural sector on the basis of a farmer's water consumption in a specific time period and the water consumed for agriculture. Based on the results of this analysis, this paper discusses the following issues: 1) The GAP model can be used to estimate the volume of water needed to implement a water management scheme based on irrigation and crop water needs, including for both urban and for non-urban applications. For this analysis, different water-use scenarios are examined. 2) The potential yield increases for each water-use scenario are compared for each scenario to illustrate the potential yield of water allocated to agriculture. 3) The allocation of water for agricultural water use at the regional level is shown for each water-use scenario.

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