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Geospatial energy poverty assessment and clustering for policy prioritization

Author

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  • Rancilio, Giuliano
  • Campagna, Laura
  • Ricci, Mattia
  • Sdringola, Paolo
  • Merlo, Marco

Abstract

Energy poverty remains a critical challenge, marked by households struggling to access or afford adequate energy services. Previous research focuses on metrics for investigating energy poverty geospatially. Some of these metrics fail in spotting the vulnerabilities, considering average values in a territory. Moreover, the connection between energy poverty assessment and policy proposal is often missing. This paper presents a geospatial analysis of energy poverty in a developed country, focusing on Italian municipalities, using a novel multiparameter indicator to measure both economic and energy vulnerabilities. Building on previous research, the indicator integrates economic indices reflecting income-to-cost ratios and energy indices based on building efficiency and age. It concentrates on the critical tails of the distribution of incomes and buildings, to avoid being misled by mean values. Through clustering, the study identifies municipalities in three categories: highly vulnerable, energy poverty-relevant, and nonvulnerable. Each cluster highlights the socioeconomic and energy challenges faced by households, offering tailored policy recommendations. In particular, the energy poverty-relevant cluster includes 85 % of Italian municipalities and shows a clear correlation between low-performance building share and economic situation of poorer households. The findings suggest the importance of targeted interventions, including direct financial aid for the most vulnerable, energy efficiency incentives for middle-tier municipalities, and nonfinancial measures for better-performing areas (where barriers to energy efficiency could be regulatory, instead of economic). This approach allows policymakers to optimize public expenditures while addressing both immediate and structural drivers of energy poverty.

Suggested Citation

  • Rancilio, Giuliano & Campagna, Laura & Ricci, Mattia & Sdringola, Paolo & Merlo, Marco, 2026. "Geospatial energy poverty assessment and clustering for policy prioritization," Energy Policy, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:enepol:v:210:y:2026:i:c:s0301421525005543
    DOI: 10.1016/j.enpol.2025.115047
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    References listed on IDEAS

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    1. Carlo Andrea Bollino & Fabrizio Botti, 2017. "Energy Poverty in Europe: A Multidimensional Approach," PSL Quarterly Review, Economia civile, vol. 70(283), pages 449-472.
    2. Maja Muftić Dedović & Samir Avdaković & Adnan Mujezinović & Nedis Dautbašić & Ajdin Alihodžić & Adin Memić, 2024. "Energy Poverty in Bosnia and Herzegovina: Challenges, Solutions, and Policy Recommendations," Energies, MDPI, vol. 18(1), pages 1-43, December.
    3. Daniele, Federica & Pasquini, Alessandra & Clò, Stefano & Maltese, Enza, 2023. "Unburdening regulation: The impact of regulatory simplification on photovoltaic adoption in Italy," Energy Economics, Elsevier, vol. 125(C).
    4. Li, Weiqing & Chien, Fengsheng & Hsu, Ching-Chi & Zhang, YunQian & Nawaz, Muhammad Atif & Iqbal, Sajid & Mohsin, Muhammad, 2021. "Nexus between energy poverty and energy efficiency: Estimating the long-run dynamics," Resources Policy, Elsevier, vol. 72(C).
    5. Shuchen Cong & Destenie Nock & Yueming Lucy Qiu & Bo Xing, 2022. "Unveiling hidden energy poverty using the energy equity gap," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Lilia Karpinska & Sławomir Śmiech & João Pedro Gouveia & Pedro Palma, 2021. "Mapping Regional Vulnerability to Energy Poverty in Poland," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    7. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
    8. Deichmann, Uwe & Reuter, Anna & Vollmer, Sebastian & Zhang, Fan, 2019. "The relationship between energy intensity and economic growth: New evidence from a multi-country multi-sectorial dataset," World Development, Elsevier, vol. 124(C), pages 1-1.
    9. Schleich, Joachim, 2019. "Energy efficient technology adoption in low-income households in the European Union – What is the evidence?," Energy Policy, Elsevier, vol. 125(C), pages 196-206.
    10. Dong, Kangyin & Dou, Yue & Jiang, Qingzhe, 2022. "Income inequality, energy poverty, and energy efficiency: Who cause who and how?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    11. Stefan Bouzarovski & Harriet Thomson & Marine Cornelis, 2021. "Confronting Energy Poverty in Europe: A Research and Policy Agenda," Energies, MDPI, vol. 14(4), pages 1-19, February.
    12. Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
    13. Riva, Mylene & Grubbs, Ellen & Breau, Sebastien, 2024. "The geography of energy poverty in Canada: Spatial clustering and inequalities at the municipal level," Energy Policy, Elsevier, vol. 195(C).
    14. Liao, Hua & Cao, Huai-Shu, 2018. "The pattern of electricity use in residential sector: The experiences from 133 economies," Energy, Elsevier, vol. 145(C), pages 515-525.
    15. Cayla, Jean-Michel & Maizi, Nadia & Marchand, Christophe, 2011. "The role of income in energy consumption behaviour: Evidence from French households data," Energy Policy, Elsevier, vol. 39(12), pages 7874-7883.
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