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Building a global dataset on state-owned enterprises

Author

Listed:
  • Gülgün Arikan
  • Alejandra Medina
  • Alba Ruiz Casas

Abstract

The role of state-owned enterprises (SOEs) in the global economy has increased significantly since 2000. This paper presents a novel methodology to build the OECD Global State-Owned Enterprises Dataset. The dataset will allow policymakers to track their evolution, compare their characteristics across countries and over time, and analyse their impact on economic outcomes. By compiling ownership information at firm-level and applying a consistent SOE definition, the dataset addresses inconsistencies arising from differing national definitions and reporting standards, and provides a reliable foundation for evidence-based policy analysis and reform.

Suggested Citation

  • Gülgün Arikan & Alejandra Medina & Alba Ruiz Casas, 2026. "Building a global dataset on state-owned enterprises," OECD Corporate Governance Working Papers 29, OECD Publishing.
    • Handle: RePEc:oec:dafaae:29-en
    DOI: 10.1787/41a26c09-en
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    More about this item

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • L32 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Enterprises; Public-Private Enterprises
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out

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