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Bridging the Macro-Micro Divide through a New Paradigm for Climate Resilience Assessment in Data-Scarce Regions
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Authors
Ronald Katende 
Abstract
Efforts to assess climate resilience in low-income countries (LICs) are often hampered by fragmented data systems and analytical silos between national and local scales. This study proposes and operationalizes an integrated empirical framework that bridges macroeconomic econometric modeling and micro-level spatial analysis to measure and visualize climate resilience in data-scarce settings. Using Uganda as a core case study, we estimate sectoral resilience through dynamic panel regression and generate spatial productivity surfaces using kriging interpolation on sparse field and satellite data. We introduce the Resilience Asymmetry Surface (RAS), a diagnostic tool that synthesizes income and climate stress to highlight structural vulnerability and intervention leverage points. The results uncover stark cross-sectoral and spatial heterogeneity in resilience outcomes, demonstrating that reliance on single-scale assessments can misdirect adaptation investments. Our framework enables data-efficient, actionable diagnostics that can inform national strategies and localized interventions alike. This work advances a scalable, policy-relevant methodology for integrated climate resilience planning in LICs.
DOI
https://doi.org/10.31223/X57T64
Subjects
Environmental Studies
Keywords
Climate Resilience, Data-scarce environments, Low-income countries, Macro-micro integration, Spatial diagnostics, Climate adaptation planning, Sectoral vulnerability, Resilience assessment, Climate stress mapping, Policy-relevant metrics, Dynamic panel modeling, Generalized Method of Moments (GMM), Ordinary kriging, Geostatistical interpolation, remote sensing, Satellite-based analysis, Multi-scale modeling, Spatial econometrics, Panel data analysis, Cross-country comparison, agricultural productivity, Climate-informed decision-making, Vulnerability hotspots, Structural inequality, Income-exposure interactions, Climate-sensitive sectors, Localized resilience, Resilience asymmetry, Adaptation metrics, Sustainable development.
Dates
Published: 2025-06-05 00:22
Last Updated: 2025-06-05 00:22
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
The author declares no competing interests, from any individual or entity.
Data Availability:
Data, and the receptive code, will be deposited into a Public repository, once the study is deemed, complete.
The study will be deemed complete, when the paper is accepted.
However even during the review process and making of any corrections, the data and code will be available upon request.
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