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DOI | 10.1007/s00267-024-01991-5 |
Data Scaling: Implications for Climate Action and Governance in the UK | |
Sudmant, Andrew | |
发表日期 | 2024 |
ISSN | 0364-152X |
EISSN | 1432-1009 |
英文摘要 | Local actors have growing prominence in climate governance but key capacities and powers remain with national policymakers. Coordination between national and local climate action is therefore of increasing importance. Underappreciated in existing academic and policy literature, coordination between actors at different scales can be affected not only by politics and institutional arrangements, but also by methods of data analysis. Exploring two datasets of GHG emissions by local area in England-one of consumption-based emissions and the other of territorial emissions-this paper shows the potential for a data scaling problem known as the modifiable areal unit problem and its possible consequences for the efficacy and equity implications of climate action. While this analysis is conceptual and does not identify specific instances of the modifiable areal unit problem or its consequences, it calls attention to methods of data analysis as possible contributors to climate governance challenges. Among other areas, future analysis is needed to explore how data scaling and other aspects of data processing and analysis may affect our understanding of non-state actors' contribution to climate action. Data scaling could affect the efficacy and equity of climate action in the UK. Enabling local actors can help to overcome the effects of data scaling. Relationships between methods of data analysis and governance need more attention. Research is needed on data scaling and the climate actions of non-state actors is needed. |
英文关键词 | Climate change; Climate action; Polycentric governance; Governance; Modifiable areal unit problem; Ecological fallacy; Place-based climate action |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS记录号 | WOS:001234528700001 |
来源期刊 | ENVIRONMENTAL MANAGEMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/298256 |
作者单位 | University of Edinburgh; University of Leeds |
推荐引用方式 GB/T 7714 | Sudmant, Andrew. Data Scaling: Implications for Climate Action and Governance in the UK[J],2024. |
APA | Sudmant, Andrew.(2024).Data Scaling: Implications for Climate Action and Governance in the UK.ENVIRONMENTAL MANAGEMENT. |
MLA | Sudmant, Andrew."Data Scaling: Implications for Climate Action and Governance in the UK".ENVIRONMENTAL MANAGEMENT (2024). |
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