ETS regulation and design failures, some lessons from the EU ETS

排放交易 津贴(工程) 欧洲联盟 碳价格 温室气体 碳市场 清洁发展机制 业务 产业组织 国际经济学 经济 环境经济学 运营管理 生态学 生物
作者
Hendrik van Senden,Brian Andrew,Andrew Tan
链接
摘要

As an instrument to combat climate change many governments are mobilising the efficiencies created by the free market mechanism to penalize polluters for their emissions through the creation of emissions trading schemes (ETSs). Due to their relatively immature, unique and complex nature, one of the main arguments against the introduction of an ETS is the potential for manipulation of carbon markets. This paper examines European Union Allowance (EUA) historical price data and current literature to present a theoretical framework of potential drivers that may have, and may continue to be, facilitating manipulation of the largest and most comprehensive ETS to date, the European Union Emissions Trading Scheme (EU ETS). This theoretical framework is applied to the different forms of manipulation in the EU ETS as identified in the literature to illustrate why manipulation may have occurred in the EU ETS. The informational efficiency of EU ETS carbon markets is also subjected to statistical testing using both parametric and non-parametric tests. Testing results indicate that, in line with current literature and market events, the EU ETS carbon markets were informationally inefficient during the first phase but are developing, with indications of strengthening informational efficiency in the second phase. As carbon market manipulation hampers the development of an efficient carbon price signal, which is integral to ETS success, this paper provides some important implications for ETS regulation and design as well as for the overall effectiveness of emissions trading schemes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
汤姆完成签到,获得积分10
2秒前
2秒前
大个应助时间的过客采纳,获得10
2秒前
科研通AI5应助马户的崛起采纳,获得10
3秒前
沈大发布了新的文献求助10
3秒前
3秒前
科研通AI5应助美满冷安采纳,获得10
3秒前
Yangon发布了新的文献求助10
4秒前
faye完成签到,获得积分10
4秒前
6秒前
皮卡丘发布了新的文献求助10
8秒前
9秒前
11秒前
迷路岩发布了新的文献求助10
11秒前
12秒前
完美世界应助科研通管家采纳,获得10
12秒前
12秒前
科目三应助科研通管家采纳,获得10
12秒前
我是老大应助科研通管家采纳,获得10
12秒前
科研通AI2S应助科研通管家采纳,获得10
13秒前
香蕉觅云应助科研通管家采纳,获得10
13秒前
搜集达人应助科研通管家采纳,获得10
13秒前
CipherSage应助科研通管家采纳,获得10
13秒前
wure10完成签到 ,获得积分10
13秒前
桐桐应助科研通管家采纳,获得10
13秒前
Lucas应助科研通管家采纳,获得10
13秒前
汉堡包应助科研通管家采纳,获得10
13秒前
丘比特应助科研通管家采纳,获得10
13秒前
NexusExplorer应助科研通管家采纳,获得10
13秒前
赘婿应助科研通管家采纳,获得10
14秒前
14秒前
朴素豪发布了新的文献求助10
14秒前
Ava应助蒋彪采纳,获得10
14秒前
大个应助发发采纳,获得10
15秒前
16秒前
16秒前
美满冷安发布了新的文献求助10
17秒前
无辜书南发布了新的文献求助10
17秒前
18秒前
善学以致用应助皮卡丘采纳,获得30
20秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Homolytic deamination of amino-alcohols 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3728832
求助须知:如何正确求助?哪些是违规求助? 3273843
关于积分的说明 9983753
捐赠科研通 2989158
什么是DOI,文献DOI怎么找? 1640194
邀请新用户注册赠送积分活动 779103
科研通“疑难数据库(出版商)”最低求助积分说明 747973