JOURNAL ARTICLE

Bridging the Divide: Revisiting the Discrepancy Between Policy and Practice in Environmental Management in the Context of Asia.

  • Published In: Asian Politics & Policy, 2025, v. 17, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wong, Natalie W. M. 3 of 3

Abstract

Environmental policies are essential for promoting sustainability, yet their implementation often falls short due to governance complexities, institutional barriers, and socioeconomic disparities. Despite international agreements and evolving policy frameworks, the gap between policy design and execution remains a persistent challenge. Bureaucratic fragmentation, conflicting stakeholder interests, and limited technological capacity hinder effective enforcement. Additionally, political inertia and economic constraints exacerbate disparities in policy outcomes, particularly in developing nations. This study examines the structural inefficiencies that contribute to policy failures and explores potential solutions, including decentralized governance, enhanced stakeholder engagement, and technological innovations. Special attention is given to environmental governance in Asia, where diverse political and economic contexts shape policy effectiveness. By analyzing case studies and existing research, this paper highlights the critical need for adaptive, participatory, and enforceable governance models to bridge the environmental policy‐practice divide and ensure sustainable development. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Asian Politics & Policy. 2025/04, Vol. 17, Issue 2, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:1943-0779
  • DOI:10.1111/aspp.70013
  • Accession Number:184830663
  • Copyright Statement:Copyright of Asian Politics & Policy 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.