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All Journal Journal of Degraded and Mining Lands Management
Tito-Lipa, Jose Panfilo
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Multidimensional taxonomy of fiscal vulnerability in mining regions: An approach based on differential predictability Ticona-Salluca, Hugo; Mamani-Chambi, Yefer Andersson; Yupanqui-Bendita , Cesar Enrique; Tito-Lipa, Jose Panfilo; Figueroa-Quispe, Wilber Antonio; Merma-Bellido, Martin Julio; Calizaya-Chura, Edgar
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.8447

Abstract

This study develops an innovative framework to assess fiscal vulnerability in regions dependent on mining resources in Peru. Using data from 25 departments (2015-2023), this study constructed a multidimensional taxonomy that integrates dependency, volatility, predictability, and temporal trends. The results reveal substantial differences in predictability between resources: Mining License Fees show high predictability (R²=0.953), contrasting with Mining Royalties (R²=0.497). This study identified three distinctive regional profiles where Ancash exhibits the highest fiscal vulnerability (0.723). The practically null correlation (0.02) between dependency and volatility confirms that they are independent and complementary dimensions for assessing fiscal risks. The proposed framework allows the identification of regions requiring priority interventions and offers analytical tools with applicability in similar mining contexts.
Co-Authors Calizaya-Chura, Edgar Figueroa-Quispe, Wilber Antonio Mamani-Chambi, Yefer Andersson Merma-Bellido, Martin Julio Ticona-Salluca, Hugo Yupanqui-Bendita , Cesar Enrique