JOURNAL ARTICLE

Universal Health Care's Journey across the Policy Cycle and Scales: Developing-8 as an Example of South–South Cooperation.

  • Published In: Sociology of Development, 2025, v. 11, n. 4. P. 272 1 of 3

  • Database: Sociology Source Ultimate 2 of 3

  • Authored By: Agartan, Tuba 3 of 3

Abstract

Universal health coverage (UHC), defined as everyone receiving the health services they need without financial hardship, has been a key component of the development agenda since the adoption of the Sustainable Development Goals in September 2015. This paper explores the political dynamics of UHC in the rapidly changing landscape of aid and development. In contrast to typical explanations of political priority, which emphasize agenda-setting processes at the global scale, I argue that UHC's adoption and diffusion across global, regional, and national contexts shape its journey. Combining a dynamic understanding of the policy process with an analysis of policy diffusion, I examine the role of South–South cooperation networks. Based on a review of primary sources and the secondary literature, the analysis focuses on the Developing-8 Organization for Economic Cooperation as an example of South–South cooperation and identifies the various ways in which new, and sometimes competing, meanings of UHC are constructed through encounters among policy actors operating across global, regional, national, and local scales. This analysis can help us debate the unique features of South–South cooperation in shaping and diffusing policy ideas. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Sociology of Development. 2025/12, Vol. 11, Issue 4, p272
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2025
  • ISSN:2374-538X
  • DOI:10.1525/sod.2025.2558910
  • Accession Number:189327200
  • Copyright Statement:Copyright of Sociology of Development is the property of University of California Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.