A Conceptual Governance Framework for Climate Change Adaptation and Disaster Risk Reduction Integration

被引:48
|
作者
Forino, Giuseppe [1 ]
von Meding, Jason [1 ]
Brewer, Graham J. [1 ]
机构
[1] Univ Newcastle, Sch Architecture & Built Environm, Callaghan, NSW 2308, Australia
关键词
Actors; Climate change adaptation; Climate change risk; Disaster risk reduction; Governance; INDIGENOUS KNOWLEDGE; ADAPTIVE GOVERNANCE; RESILIENCE; VULNERABILITY; CAPACITY; POLICY; INITIATIVES; MANAGEMENT; FUTURE; HAZARD;
D O I
10.1007/s13753-015-0076-z
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Climate change adaptation (CCA) and disaster risk reduction (DRR) have similar targets and goals in relation to climate change and related risks. The integration of CCA in core DRR operations is crucial to provide simultaneous benefits for social systems coping with challenges posed by climate extremes and climate change. Although state actors are generally responsible for governing a public issue such as CCA and DRR integration, the reform of top-down governing modes in neoliberal societies has enlarged the range of potential actors to include non state actors from economic and social communities. These new intervening actors require in-depth investigation. To achieve this goal, the article investigates the set of actors and their bridging arrangements that create and shape governance in CCA and DRR integration. The article conducts a comprehensive literature review in order to retrieve main actors and arrangements. The article summarizes actors and arrangements into a conceptual governance framework that can be used as a backdrop for future research on the topic. However, this framework has an explorative form, which must be refined according to site- and context-specific variables, norms, or networks. Accordingly, this article promotes an initial application of the framework to different contexts. Scholars may adopt the framework as a roadmap with which to corroborate the existence of a theoretical and empirical body of knowledge on governance of CCA and DRR integration.
引用
收藏
页码:372 / 384
页数:13
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