University of Tasmania
Browse
de Koning et al 2017.pdf (2.08 MB)

Collaborative governance of Protected Areas: success factors and prospects for Hin Nam No National Protected Area, Central Laos

Download (2.08 MB)
journal contribution
posted on 2023-05-19, 02:47 authored by de Koning, M, Nguyen, T, Michael LockwoodMichael Lockwood, Sengchanthavong, S, Phommasane, S
Collaborative governance of protected areas has emerged as a response to failures of, and ethical concerns about, centralised environmental governance. This paper assesses the governance of the Hin Nam No National Protected Area in central Laos to identify the conditions that support successful collaborative governance. Our analysis is based on the argument that collaborative governance is more likely to be successful under conditions that provide incentives for community engagement, formal mechanisms for power sharing, local ownership of resources, downward accountability, mechanisms for building trust, and an adaptive approach to performance assessment and improvement. We show that collaborative governance in Hin Nam No demonstrates the potential for a more decentralised and democratic system of governance based on customary rights, but requires ongoing political will to consolidate and sustain these arrangements. The findings of this study contribute to the growing literature on collaborative governance of protected areas in Asia and elsewhere.

History

Publication title

Conservation & Society

Volume

15

Pagination

87-99

ISSN

0972-4923

Department/School

School of Geography, Planning and Spatial Sciences

Publisher

Medknow Publications and Media

Place of publication

India

Rights statement

Copyright 2016 Koning et al. Licensed under Creative Commons Attribution 2.5 Generic (CC BY 2.5) https://creativecommons.org/licenses/by/2.5/

Repository Status

  • Open

Socio-economic Objectives

Rehabilitation or conservation of terrestrial environments

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC