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<p>This study investigates the complex relationship between corruption risk, quality of life, and sustainable development across Italian provinces. While the UN 2030 Agenda’s Goal 16 emphasizes the reduction of corruption as a target for strong institutions, measuring this latent phenomenon remains a significant challenge. Moving beyond national-level perception indices like the Corruption Perceptions Index (CPI), this research identifies a comprehensive set of 70 territorial risk indicators provided by the Italian National Anti-Corruption Authority (ANAC). Among these, the study focuses primarily on 18 context indicators, grouped into four pillars (Criminality, Education, Economy, and Social Capital), which are synthesized into composite indices using the Adjusted Mazziotta-Pareto Index methodology (AMPI). This non-compensatory methodological approach allows for a granular, territorial analysis (NUTS3 level) that captures the heterogeneity of institutional risk. The results demonstrate that corruption risk is deeply intertwined with human and social capital, acting as a primary obstacle to equitable well-being. By validating the ANAC framework as a system of “red flags” for institutional vulnerability, the study provides a practical tool for policymakers to identify regional weaknesses and implement targeted prevention strategies, highlighting the pivotal role of objective administrative data in achieving the 2030 Agenda.</p>

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Corruption, quality of life, well-being and sustainable development

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • Fabrizio Sbicca

摘要

This study investigates the complex relationship between corruption risk, quality of life, and sustainable development across Italian provinces. While the UN 2030 Agenda’s Goal 16 emphasizes the reduction of corruption as a target for strong institutions, measuring this latent phenomenon remains a significant challenge. Moving beyond national-level perception indices like the Corruption Perceptions Index (CPI), this research identifies a comprehensive set of 70 territorial risk indicators provided by the Italian National Anti-Corruption Authority (ANAC). Among these, the study focuses primarily on 18 context indicators, grouped into four pillars (Criminality, Education, Economy, and Social Capital), which are synthesized into composite indices using the Adjusted Mazziotta-Pareto Index methodology (AMPI). This non-compensatory methodological approach allows for a granular, territorial analysis (NUTS3 level) that captures the heterogeneity of institutional risk. The results demonstrate that corruption risk is deeply intertwined with human and social capital, acting as a primary obstacle to equitable well-being. By validating the ANAC framework as a system of “red flags” for institutional vulnerability, the study provides a practical tool for policymakers to identify regional weaknesses and implement targeted prevention strategies, highlighting the pivotal role of objective administrative data in achieving the 2030 Agenda.