(0.15 HDC) + (0.15 GFE) Weighting Logic The model prioritizes: ● territorial informal presence as the core structural variable ● state fragility and financial capacity as enabling conditions ● disruption capacity and formal gold overlap as escalation multipliers The TLRI therefore does not measure crime directly. It identifies thresholds where informal mining can evolve from peripheral activity into a territorial governance competitor. 5.5 Pilot Territorial Findings The pilot application reveals strong territorial concentration rather than homogeneous national distribution. Highest TLRI Scores ● Puno ● Arequipa ● Apurímac ● Cusco ● Madre de Dios ● La Libertad These regions combine different mixes of: ● informal mining density ● illicit finance ● state vulnerability ● territorial disruption ● formal gold coexistence Interpretation For example: ● Puno scores highest due to simultaneous territorial concentration, financial pressure, and high vulnerability. ● Arequipa combines strong informal pressure with significant formal gold exposure. ● Madre de Dios reflects entrenched extractive illegality and historical territorial embeddedness. 5.6 Implementation Strategy The TLRI framework can be operationalized through five scalable steps: 1. Data Integration Layer Merge concession, REINFO, transport disruption, financial intelligence, and formal mining datasets. 2. Automated Regional Scoring 34
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