3.8 Article

A sectoral perspective on international climate governance: Key findings and research priorities

期刊

EARTH SYSTEM GOVERNANCE
卷 8, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.esg.2021.100105

关键词

Climate policy; Paris agreement; Polycentric governance; Sectoral systems; UNFCCC

资金

  1. Horizon 2020 COP21 RIPPLES project [730427]

向作者/读者索取更多资源

This article summarizes six major findings, including the varying barriers and challenges to decarbonization across sectoral systems, the need for international governance institutions to contribute effectively to climate protection, the general undersupply of international climate governance, the important role played by the UNFCCC and Paris Agreement in sectoral governance, and the potential synergistic effects of non-environmental institutions on decarbonization barriers.
This concluding article derives six major findings from the contributions to this special issue. First, the barriers and challenges to decarbonisation vary significantly across sectoral systems. Second, and similarly, the need and potential for the five functions of international governance institutions to contribute to effective climate protection also vary widely. Third, while the pattern is uneven, there is a general undersupply of international climate governance. Fourth, the sectoral analyses confirm that the UNFCCC and Paris Agreement play an important overarching role but remain limited in advancing effective sectoral governance. Fifth, while non-environmental institutions may present important barriers to decarbonisation, more synergistic effects are possible. Sixth, our sectoral approach provides a sound basis on which to identify sector-specific policy options. The paper then offers reflections on the merits and limitations of the sectoral approach, before identifying avenues for future research to further advance the agenda. (C) 2021 The Author(s). Published by Elsevier B.V.

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

3.8
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