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The Effects Of Dynamic Prices On Competition In The Platform Economy An Empirical Approach

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  • VADUVA CECILIA ELENA

    (CONSTANTIN BRANCUSI UNIVERSITY TARGU-JIU)

Abstract

The digital transformation of markets has led to the emergence of platform-based economic models (Uber, Airbnb, Glovo), in which algorithms determine the prices of services in real time. This study investigates the impact of dynamic pricing on imperfect competition between service providers, analyzing how automatic price adjustments can favor market concentration and influence the behavior of participants. The research uses secondary data from urban transport and housing rental markets, analyzed through econometric models inspired by Bertrand and Cournot theories, adapted to the digital context. The expected results indicate a trend of tacit algorithmic coordination and reduced competitive elasticity, with significant implications for regulatory policies in digital markets.

Suggested Citation

  • Vaduva Cecilia Elena, 2026. "The Effects Of Dynamic Prices On Competition In The Platform Economy An Empirical Approach," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 245-250, February.
    • Handle: RePEc:cbu:jrnlec:y:2026:v:1:p:245-250
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