Who pays for BECCS and DACCS in the UK: designing equitable climate policy

8Citations
Citations of this article
51Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The UK government’s net-zero commitment assumes the use of bio-energy with carbon capture and storage (BECCS) and direct air carbon capture and storage (DACCS). Quantifying where the costs of funding these technologies fall–and their magnitude–provides greater insight into potential fairness of future government policies. Using a microsimulation model, this study is the first to evaluate the potential distributional impacts. We consider the distributional incidence and magnitude on household income deciles if the costs for deploying and operating BECCS and DACCS are placed on different sectors of the economy via a range of viable policy funding options. Using existing and novel policy funding options, we demonstrate that levying the costs entirely on the household energy bill is the most regressive of the options considered. We find aviation to be an important point of intervention from a distributional perspective. Higher-income households have larger aviation carbon footprints than lower-income households, meaning passing costs onto households via aviation alone could help fund BECCS and DACCS while having minimal impacts on social welfare. Funding BECCS and DACCS via income tax emerged as the only progressive way of apportioning costs across income deciles. As the benefits of carbon removal accrue to society as a whole, there is further argument that the costs should be shared across society in the fairest way possible. However, such an approach has the potential to blunt the price signal that polluters face. In reality, some pass-through cost may be desirable to adhere to equity principles under a polluter pays principle and to create an incentive for polluters to switch to cleaner inputs and adopt low-carbon technologies. Key policy insights: This study is the first to evaluate distributional incidence and magnitude of costs to households, if costs for deploying and operating BECCS and DACCS are placed on different sectors of the economy. Recovering policy costs via income tax provides a progressive option to fund BECCS and DACCS. All modelled alternative funding options result in regressive outcomes where low-income households pay disproportionately more towards the costs of BECCS and DACCS. Funding BECCS and DACCS through levies on household energy bills further entrenches inequality; spend on electricity as a share of income is disproportionately high for low-income households.

References Powered by Scopus

COMMENTARY: Betting on negative emissions

703Citations
N/AReaders
Get full text

Making carbon pricing work for citizens

435Citations
N/AReaders
Get full text

Large inequality in international and intranational energy footprints between income groups and across consumption categories

335Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Policy incentives for Greenhouse Gas Removal Techniques: the risks of premature inclusion in carbon markets and the need for a multi-pronged policy framework

17Citations
N/AReaders
Get full text

Utilizing CO<inf>2</inf> as a strategy to scale up direct air capture may face fewer short-term barriers than directly storing CO<inf>2</inf>

4Citations
N/AReaders
Get full text

Interdisciplinary challenges in bio-energy carbon capture utilization & storage deployment: A review

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Owen, A., Burke, J., & Serin, E. (2022). Who pays for BECCS and DACCS in the UK: designing equitable climate policy. Climate Policy, 22(8), 1050–1068. https://doi.org/10.1080/14693062.2022.2104793

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 13

65%

Professor / Associate Prof. 3

15%

Lecturer / Post doc 2

10%

Researcher 2

10%

Readers' Discipline

Tooltip

Environmental Science 9

50%

Social Sciences 5

28%

Agricultural and Biological Sciences 2

11%

Economics, Econometrics and Finance 2

11%

Article Metrics

Tooltip
Mentions
Blog Mentions: 3
Social Media
Shares, Likes & Comments: 1

Save time finding and organizing research with Mendeley

Sign up for free