Abstract

Digital platforms have become core components of the technological infrastructure shaping the future of work, particularly in the gig economy. Enabled by capabilities such as algorithmic matching, data‑driven coordination, and digitally mediated labor relations, ridesharing platforms promise flexibility and expanded income opportunities while simultaneously raising concerns about worker welfare, income inequality, and the long‑term sustainability of platform‑based labor. As a result, the societal implications of gig‑economy employment remain widely debated among researchers and policymakers. This study explores the societal impact of technology-driven platforms by empirically examining how the entry of a digital ridesharing platform affects income inequality across local economies. Using data on household income distributions and exploiting geographic and temporal variation in platform entry, we analyze how platform‑enabled gig employment reshapes income levels and distributional outcomes. We further examine how these effects vary across locations with different macroeconomic characteristics, highlighting the role of local context in shaping societal outcomes. Our findings suggest that gig‑economy platforms are associated with beneficial but heterogeneous societal consequences, reflecting complex interactions between digital infrastructures, labor markets, and regional conditions. By linking platform technology to distributional economic outcomes, this research contributes to discussions on the future of work and responsible digital transformation. The study offers insights for platform firms and policymakers seeking to align technological innovation with broader goals of equity, resilience, and social welfare in the next phase of digital transformation.

Download

Share

COinS