A novel methodology to obtain optimal economic indicators based on the Argentinean production chain under uncertainty

Abstract Paper aims This novel methodology obtains the optimal economic evaluation of emissions (carbon price) under uncertainty (Fuzzy Decision Making), and hierarchical variation (Analytic Hierarchy Process) within the Argentine production chain (Life Cycle Analysis with Supply and Demand Side Management), obtaining a novel model of market equilibrium. Originality 1) a novel optimal economic (marginal) evaluation index called Generic Camargo Intrinsic Cost, 2) optimal graphical attribute efficiency points, regions and boundaries and their optimal economic evaluation and 3) a Computable General Equilibrium Model with fundamental uncertainty. Research method The theoretical, practical and economic contribution and results (mathematical and graphical analysis) of this novel methodology and tools are developed, generalised and analysed. Main findings All three of the above original contributions have been analysed using the above research method, with excellent and promising results. Implications for theory and practice The optimal economic evaluation (externality) of the Argentinean production chain under uncertainty is obtained.