JOURNAL ARTICLE

Sustainable and Resilient Governance of Common‐Pool Resources: A Critical Analysis of Non‐Cooperative and Cooperative Game Theory Applications.

  • Published In: Journal of Economic Surveys, 2025, v. 39, n. 5. P. 2303 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Senatore, Luigi; Bimonte, Giovanna; Gatto, Andrea 3 of 3

Abstract

Common‐pool resources theory has been pervasively explored through strategic approaches. To this end, non‐cooperative and cooperative game theory applications have been developed. Two scholars have dominated the theoretical formulations aiming to find effective solutions for governing the commons—Garret Hardin and Elinor Ostrom. Based on the theoretical and empirical evidence from Hardin, Ostrom, and more recent scholars and theories, this paper aims to provide an excursus on the game theory formalizations supporting the commons theory. This study argues that this process implied a revisitation of commons governance from threat to opportunity. This evidence was also moved from the emergence of new commons and their preservation. This revival led to new solutions and explorations for sustainable development, polycentrism, and resilient governance of common‐pool resources. These perspectives can stimulate new research, policies, and strategies benefiting from ecological and development economics research, public management scholarship and practice, regulation, and decision‐making. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Economic Surveys. 2025/12, Vol. 39, Issue 5, p2303
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0950-0804
  • DOI:10.1111/joes.12690
  • Accession Number:189133113
  • Copyright Statement:Copyright of Journal of Economic Surveys is the property of Wiley-Blackwell 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.