2017
DOI: 10.4236/gep.2017.53001
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Evaluation of Technology Change Effects on Quantitative Assessment of Water, Energy and Food Nexus

Abstract: The quantitative assessment framework of the water, energy and food (WEF) nexus proposed by [1] permits the analysis of the WEF as an interconnected system of resources that directly and indirectly affect one another. The model performs simulation of policy options and scenarios that respond to quantitative variations of the use of WEF resources. One of the key outcomes of the mathematical formulation of the model is the WEF nexus intersectoral technology matrix. In order to take advantages and analyzing polic… Show more

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Cited by 6 publications
(2 citation statements)
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“…The Q-Nexus Model is built on the input-output theory and is being able to evaluate quantitatively both the direct and indirect intersectoral WEF quantities [1] [16]. The structure of the Q-Nexus Model is based on the quantitative balance of the WEF total quantities through two main conceptual elements: i) the intersectoral use quantities (Z) and ii) the end use quantities (y) which cover households, government and the rest of the economy demands, losses, accumulation and exports.…”
Section: Review Of the Wef Nexus Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The Q-Nexus Model is built on the input-output theory and is being able to evaluate quantitatively both the direct and indirect intersectoral WEF quantities [1] [16]. The structure of the Q-Nexus Model is based on the quantitative balance of the WEF total quantities through two main conceptual elements: i) the intersectoral use quantities (Z) and ii) the end use quantities (y) which cover households, government and the rest of the economy demands, losses, accumulation and exports.…”
Section: Review Of the Wef Nexus Modelmentioning
confidence: 99%
“…The Q-Nexus Model as a WEF nexus simulator has already been used to influence policy and planning [1] [16]. However, its use within a flexible optimization framework where model inputs can instead become decision variables and model outputs can be used in mathematical representations of resource management goals, has not yet been tested.…”
Section: Introductionmentioning
confidence: 99%