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Analysis of the digital platform economy around the world: A network DEA model for identifying policy priorities

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  • Esteban Lafuente
  • Zoltán J. Ács
  • László Szerb
Abstract
This study evaluates the quality of the digital platform economy at the global scale by employing a network model rooted in nonparametric linear techniques (data envelopment analysis) on a sample of 116 countries for 2019. The proposed model is in accordance with the geographic diversity (country heterogeneity) and the multilayered structure characterizing the interactions between system participants: governments, digital platforms, platform-dependent firms, and end users. The core findings indicate that the configuration of countries’ platform economy is very heterogeneous, which suggests that an informed, tailor-made approach to policy might produce more effective outcomes. Policies aimed at enhancing the digital platform economy should emerge from the analysis of its main factors if the development of a strategy seeking qualitative improvements in the system is the desired goal.

Suggested Citation

  • Esteban Lafuente & Zoltán J. Ács & László Szerb, 2024. "Analysis of the digital platform economy around the world: A network DEA model for identifying policy priorities," Journal of Small Business Management, Taylor & Francis Journals, vol. 62(2), pages 847-891, March.
    • Handle: RePEc:taf:ujbmxx:v:62:y:2024:i:2:p:847-891
    DOI: 10.1080/00472778.2022.2100895
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