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Funding Resilience or Missing the Mark? An Analysis of RRF Allocation and Climate Risk Alignment in Italian Municipalities

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  • Breglia, Giulio
  • D'Angeli, Mariagrazia
  • Gazzellone, Giacomo

Abstract

Natural hazards are an increasing concern, placing disaster preparedness and mitigation at the forefront of policy agendas. In this context, Italy’s Recovery and Resilience Plan (NRRP) has allocated €3 billion for explicit disaster prevention, with a primary focus on hydrogeological risks such as floods and landslides. This study evaluates the geographical and thematic distribution of resilience-related funding, examining whether financial resources have been effectively targeted toward municipalities with the highest exposure to environmental hazards. Using a clustering classification, we identify substantial disparities in the allocation of resilience funds, revealing that municipalities with relatively low risk levels often receive disproportionately high funding, while high-risk areas remain underfunded. To explore the underlying drivers of this misalignment, we apply a multinomial logit model to assess the socio-economic and geographic determinants of these funding disparities. Our findings indicate that GDP, macro-regional location, and past disaster occurrences significantly influence whether a municipality falls into a misallocated funding cluster. The misalignment between risk exposure and funding allocation raises questions about the criteria used for distributing adaptation investments and highlights the necessity for a more risk-sensitive and equitable approach.

Suggested Citation

  • Breglia, Giulio & D'Angeli, Mariagrazia & Gazzellone, Giacomo, 2026. "Funding Resilience or Missing the Mark? An Analysis of RRF Allocation and Climate Risk Alignment in Italian Municipalities," FEEM Working Papers 391388, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemwp:391388
    DOI: 10.22004/ag.econ.391388
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    References listed on IDEAS

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    1. Felbermayr, Gabriel & Gröschl, Jasmin, 2014. "Naturally negative: The growth effects of natural disasters," Journal of Development Economics, Elsevier, vol. 111(C), pages 92-106.
    2. Federico Fantechi & Marco Modica, 2023. "Learning from the past: a machine-learning approach for predicting the resilience of locked-in regions after a natural shock," Regional Studies, Taylor & Francis Journals, vol. 57(12), pages 2537-2550, December.
    3. Giulio Breglia & Marco Modica, 2025. "Shifting Ground: A Counterfactual Analysis of Recovery in Earthquake-Affected Regions," Discussion Paper series in Regional Science & Economic Geography 2025-10, Gran Sasso Science Institute, Social Sciences, revised Feb 2025.
    4. Hallegatte, Stephane & Przyluski, Valentin, 2010. "The economics of natural disasters : concepts and methods," Policy Research Working Paper Series 5507, The World Bank.
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    Keywords

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • H76 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Other Expenditure Categories
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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