Advancing the Input-Output Framework in a Developing World

This paper re-examines the Input–Output (I–O) framework through the complementary lenses of information production, redistribution analysis, and dynamic modelling. At the core of the discussion is the concept of a Statistical Information System (SIS), a theoretically grounded architecture designed to maintain coherence across increasingly heterogeneous data sources. The Total Factor Productivity Surplus (TFPS) approach, introduced by Emilio Fontela in 1989, is presented as a methodological foundation which—when embedded in Computable General Equilibrium (CGE) models and enhanced with artificial intelligence within an Advanced Decision Support System (ADSS)—enables the transformation of official statistics into forward-looking instruments that support sustainable and inclusive development.