University of Sussex
Browse

File(s) not publicly available

Expert views of climate change adaptation in least developed Asia

journal contribution
posted on 2023-06-08, 23:26 authored by Benjamin SovacoolBenjamin Sovacool, Anthony L D'Agostino, Harsha Meenawat, Amireeta Rawlani
Drawing primarily from original data collected from more than 100 semi-structured research interviews, this study discusses the benefits of four climate change adaptation projects being implemented in Bangladesh, Bhutan, Cambodia, and the Maldives. The article begins by explaining its research methods and selecting a sample of Global Environment Facility-Least Developed Country Fund projects being implemented in Asia to analyze. It then describes ongoing adaptation efforts in each of these four countries. It finds that projects enhance infrastructural resilience by building relevant, robust, and flexible technologies. They build institutional resilience by creating strong, permanent, legitimate organizations in place to respond to climate change issues. They promote community resilience by enhancing local ownership, building capacity, and creating networks that help ordinary people learn and adapt to climate change. We find that all four of our case studies couple adaptive improvements in technology and infrastructure with those in governance and community welfare, underscoring the holistic or systemic aspect of resilience. Our study also demonstrates the salience of a functions-based approach to resilience and adaptive capacity rather than an asset-based one.

History

Publication status

  • Published

Journal

Journal of Environmental Management

ISSN

0301-4797

Publisher

Elsevier

Issue

30

Volume

97

Page range

78-88

Department affiliated with

  • SPRU - Science Policy Research Unit Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2015-12-21

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC