迈向碳税的交叉司法方法:爱尔兰的能源贫困、弱势家庭和收入回收

IF 6.9 2区 经济学 Q1 ENVIRONMENTAL STUDIES
Jeanne Magnetti, Danny Marks, Goran Dominioni
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引用次数: 0

摘要

本文采用交叉视角作为分析框架,研究年龄、能力、种族、地理、性别和房屋所有权状况等重叠的人口维度如何影响爱尔兰低收入家庭能源贫困的不同经历。尽管对碳税在收入群体中的纵向影响进行了广泛的研究,但研究对非收入群体的横向影响的学术研究仍然有限,很少有研究采用定性方法来调查交叉司法影响。为了解决这一差距,我们的研究对关键信息提供者进行了21次半结构化访谈,以确定传统经济分析中经常被忽视的脆弱性。我们的研究结果表明,虽然爱尔兰的碳税政策实施了累进的收入回收措施,使收入最低的五个十分之一的家庭受益,但某些弱势群体,特别是租房者、旅行者和残疾人,在政策设计和经济模型中都没有得到充分承认。该研究表明,定性研究方法可以通过发现计量经济学研究中由于数据限制或样本量小而在统计上难以捕捉的漏洞来补充定量方法。我们认为,通过交叉分析得出的碳税政策可以更准确地减轻对弱势群体的不利影响,促进更公平地向低碳经济过渡。这也可能提高公众对碳税的接受程度。本研究为碳定价横向影响的新兴文献做出了贡献,并为寻求设计更具包容性的气候政策、解决碳定价与非收入脆弱性之间复杂相互作用的政策制定者提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards an intersectional justice approach to carbon taxation: Energy poverty, vulnerable households, and revenue recycling in Ireland
This article adopts an intersectional lens as an analytical framework to examine how overlapping demographic dimensions, such as age, ability, ethnicity, geography, gender, and home ownership status, shape the diverse experiences of energy poverty among low-income households in Ireland. Despite extensive research on the vertical impacts of carbon taxes across income groups, scholarship examining horizontal impacts on non-income groups remains limited, with few studies employing qualitative methods to investigate intersectional justice implications. Addressing this gap, our study conducted twenty-one semi-structured interviews with key informants to identify vulnerabilities often overlooked in conventional economic analyses. Our findings reveal that while Ireland's carbon tax policy has implemented progressive revenue recycling measures that benefit households in the bottom five income deciles, certain vulnerable groups, particularly renters, Travellers, and disabled persons, are not fully recognised in both policy design and economic modelling. The study demonstrates that qualitative research methods can complement quantitative approaches by uncovering vulnerabilities that are statistically difficult to capture in econometric studies due to data limitations or small sample sizes. We argue that carbon tax policies informed by intersectional analysis can more accurately mitigate adverse impacts on vulnerable populations and foster more equitable transitions to a low-carbon economy. Potentially, this can also improve public acceptability of carbon taxes. This research contributes to the emerging literature on horizontal impacts of carbon pricing and offers insights for policymakers seeking to design more inclusive climate policies that address the complex interplay between carbon pricing and non-income vulnerabilities.
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来源期刊
Energy Research & Social Science
Energy Research & Social Science ENVIRONMENTAL STUDIES-
CiteScore
14.00
自引率
16.40%
发文量
441
审稿时长
55 days
期刊介绍: Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers. Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.
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