EU Climate Governance:The Policy Decision of Emissions Trading Scheme
Date Issued
2009
Date
2009
Author(s)
Chang, Wei-Ju
Abstract
In the field of global environmental politic, European Union plays a crucial role. This study aims to investigate EU climate governance through the perspective of multi-level governance, using Emission Trading Scheme as case study.
The policy-forming process of ETS can be analyzed in national, supranational and transnational levels. Three characteristics of EU climate governance are revealed by multi-level analysis. The first characteristic would be multi-actor, which means that the policy is formed by numbers of agents containing EU institutions, national governments, environmental NGOs, industries and scientific communities. The ultimate goal of these actors is to reach a consensus through negotiation. The second characteristic refers to the existing of multi-level channels in decision making process, including official and non-official ones, which shape into an interdependent and decentralized networking structure, and thus enhance the interaction between involving actors. The differentiation of policy issues is the third characteristic. Under this circumstance, climate governance becomes a highly professional issue. Technological bureaucrats and specialized knowledge are required when designing and promoting related policies.
First chapter states the motives and purposes, range and restrictions, and literature review of the research. Chapter two probes into the theory of multi-level governance. Chapter three examines the evolution of EU environmental and climate policies historically. The following three chapters are case study, investigating how EU finally achieves to pass the ETS directive from the beginning. Chapter eight is an overall overview of the research.
Subjects
multi-level governance
environmental politics
EU climate governance
Emission Trading Scheme
SDGs
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-98-R96322012-1.pdf
Size
23.53 KB
Format
Adobe PDF
Checksum
(MD5):a2029f90be7fad046e1c3dba48b83dcb
