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Data Scaling: Implications for Climate Action and Governance in the UK

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  • Andrew Sudmant

    (University of Edinburgh, Edinburgh Climate Change Institute
    University of Leeds, Sustainability Research Institute, Faculty of Environment)

Abstract

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.

Suggested Citation

  • Andrew Sudmant, 2024. "Data Scaling: Implications for Climate Action and Governance in the UK," Environmental Management, Springer, vol. 74(3), pages 414-424, September.
  • Handle: RePEc:spr:envman:v:74:y:2024:i:3:d:10.1007_s00267-024-01991-5
    DOI: 10.1007/s00267-024-01991-5
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