4.7 Article

Improving climate change adaptation in least developed Asia

期刊

ENVIRONMENTAL SCIENCE & POLICY
卷 21, 期 -, 页码 112-125

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsci.2012.04.009

关键词

Adaptation; Adaptive capacity; Resilience; Least developed countries; Asia

资金

  1. Centre on Asia and Globalisation
  2. Lee Kuan Yew School of Public Policy
  3. Singaporean Ministry of Education for an Academic Research Fund

向作者/读者索取更多资源

This article investigates the climate vulnerabilities of four least developed Asian countries Bangladesh, Bhutan, Cambodia, and the Maldives-before discussing how efforts are underway to strengthen infrastructural, organizational, and community-based adaptation. Infrastructural adaptation refers to the assets, technologies, or hardware that can withstand climate change impacts, such as climate-proofed irrigation systems, roads, or electricity networks. Organizational adaptation refers to the endurance of an effective institution or set of institutions, usually government ministries or departments, in charge of planning and policy, as well as its capacity to develop and revise climate policies. Social adaptation refers to the cohesion of communities and the livelihoods of the people that compose them. We argue that resilient adaptation infrastructures can recover quickly from climate disruptions, resilient organizations can cope with new stresses and changes and still function, resilient communities have assets such as education or wealth that enable them to survive or even thrive in the face of climate-related challenges. Ongoing adaptation efforts in Bangladesh, Bhutan, Cambodia, and the Maldives are examples of projects that simultaneously attempt to enhance all three dimensions of adaptation. Data for these cases comes primarily from a review of country National Adaptation Programs of Action (NAPAs) supplemented with research interviews and site visits. (C) 2012 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据