The Afnan Equilibrium: A Coupled Welfare Model for Balancing Technology, Resilience, and Externalities

Rapid technological change is reshaping economies, raising productivity while intensifying systemic risks and environmental pressures. This paper introduces the Afnan Equilibrium, a coupled welfare framework that evaluates trade-offs among technology adoption T, productivity P, resilience R, and externalities E. The model defines a balanced rest point T∗R∗, shows that technology and resilience are strategic complements and demonstrates that the planner's allocation can be implemented with simple instruments such as Pigouvian pricing and resilience support. Computational experiments—including phase diagrams, welfare surfaces, and policy wedges—illustrate how resilience broadens the safe range for technology and how incentives align decentralized choices with the social optimum. A two-region extension captures coordination gaps when only part of the damages is internalized. An illustrative cross-country comparison (Bangladesh, India, Nigeria, the Netherlands, and the United States) demonstrates empirical mapping and structural trade-offs. At the same time, sectoral sketches (agriculture, manufacturing, governance) highlight policy applications under uncertainty. By embedding resilience and externalities directly into welfare analysis, the framework moves beyond growth-centric metrics. It offers a structured way to frame trade-offs for governments, firms, and international institutions. It provides a quantitative lens for balancing innovation, resilience, and ecological integrity. It may inform climate adaptation planning, sustainable development pathways, and resilience governance under global environmental change, provided it is appropriately calibrated and supported by institutional detail. The framework is intentionally stylized and diagnostic at this stage; although not yet calibrated for operational policy use, its tractable structure allows future development as data and institutional specificity are incorporated.