Rethinking Composite Indicators: A Geographical Perspective

This paper critiques traditional composite indicators, arguing that their fixed weighting schemes oversimplify complex geographical realities. Using the English Index of Multiple Deprivation, it highlights how static indicators mask local variations. The study explores spatially adaptive methods, particularly Benefit-of-Doubt (BoD) analysis, which allows regions to assign optimal weights to deprivation factors. BoD-derived indicators reveal hidden spatial patterns and offer a more nuanced understanding of inequalities. Through mapping and analysis, the study demonstrates that these methods provide more context-aware insights, helping policymakers design targeted interventions rather than relying on rigid, one-size-fits-all indices

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.15124664
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00
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article

Rethinking Composite Indicators: A Geographical Perspective

Zenodo (CERN European Organization for Nuclear Research)
Income, Poverty, and Inequality
article

Rethinking Composite Indicators: A Geographical Perspective

article en

Abstract

This paper critiques traditional composite indicators, arguing that their fixed weighting schemes oversimplify complex geographical realities. Using the English Index of Multiple Deprivation, it highlights how static indicators mask local variations. The study explores spatially adaptive methods, particularly Benefit-of-Doubt (BoD) analysis, which allows regions to assign optimal weights to deprivation factors. BoD-derived indicators reveal hidden spatial patterns and offer a more nuanced understanding of inequalities. Through mapping and analysis, the study demonstrates that these methods provide more context-aware insights, helping policymakers design targeted interventions rather than relying on rigid, one-size-fits-all indices

Zenodo (CERN European Organization for Nuclear Research)
National University of Ireland, Maynooth (IE)
Reduced inequalities
Openalex Percentile: Top 43%
Income, Poverty, and Inequality
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