Analyzing Equilibrium Pricing Dynamics in Oligopolistic Telecommunications Networks

The modern telecommunications industry operates in a highly competitive environment in which firms must strategically determine pricing and supply levels to maximize profitability. This paper examines the strategic interactions among competing network providers using three fundamental game-theoretic models: the Cournot, Stackelberg, and Cartel models. Each model captures different competitive dynamics, from simultaneous decision-making in the Cournot model to leader–follower dynamics in the Stackelberg framework and cooperative price setting in the Cartel model. Through a game-theoretic mathematical analysis, this study derives equilibrium solutions for each model, evaluates their economic feasibility, and conducts a sensitivity analysis to assess how key parameters impact market outcomes. The findings reveal that while the Cartel model yields the highest profits by stabilizing prices, it comes at the cost of reduced supply and raises significant regulatory concerns. In contrast, the Stackelberg model illustrates how a dominant provider can leverage its leadership position for a competitive advantage, whereas the Cournot model represents a more balanced but less profitable market structure. Furthermore, the study examines the role of demand forecasting in shaping pricing and supply strategies, highlighting its implications for market efficiency and firm profitability. Based on these insights, we formulate recommendations for policymakers to counter cartel formations and mitigate their negative effects on market competition and consumer welfare. The proposed policy measures aim to enhance regulatory oversight, promote market transparency, and encourage fair competition. The models developed can also be extended to incorporate additional factors such as cost variations, capacity constraints, and evolving regulatory policies, making them applicable to broader oligopoly telecommunications market scenarios.