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Mapping fuel poverty risk at the municipal level: A Small-Scale Analysis of Italian Energy Performance Certificate, Census and Survey data

Author

Listed:
  • Riccardo Camboni

    (Department of Economics and Management - University of Padova and OIPE)

  • Alberto Corsini

    (Université Côte d’Azur - CNRS, GREDEG and OIPE)

  • Raffaele Miniaci

    (Department of Economics and Management - University of Brescia and OIPE)

  • Paola Valbonesi

    (Department of Economics and Management - University of Padova and OIPE)

Abstract

We use the nearest neighbour propensity score matching to link dwellings holding Energy Performance Certificates (EPCs) in the Italian province of Treviso with information on the socio-economic characteristics of households most likely to inhabit them. We construct a database of 17,405 dwellings for which information on standardized energy needs is matched to data on (potential) inhabitants and their imputed income, based respectively on census records and survey data. Our analysis shows that EPC registers can be exploited to investigate how income and housing conditions affect fuel poverty and to identify municipal areas with higher fuel poverty risk. Our findings highlight that when designing interventions to reduce fuel poverty, policymakers should target households based not only on their income but also on type of heating fuel, and on efficiency and the size of their accommodation.

Suggested Citation

  • Riccardo Camboni & Alberto Corsini & Raffaele Miniaci & Paola Valbonesi, 2020. "Mapping fuel poverty risk at the municipal level: A Small-Scale Analysis of Italian Energy Performance Certificate, Census and Survey data," "Marco Fanno" Working Papers 0252, Dipartimento di Scienze Economiche "Marco Fanno".
    • Handle: RePEc:pad:wpaper:0252
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    References listed on IDEAS

    as
    1. Camboni, Riccardo & Corsini, Alberto & Miniaci, Raffaele & Valbonesi, Paola, 2021. "Mapping fuel poverty risk at the municipal level. A small-scale analysis of Italian Energy Performance Certificate, census and survey data," Energy Policy, Elsevier, vol. 155(C).
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    Citations

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    Cited by:

    1. Luciano Lavecchia & Raffaele Miniaci & Paola Valbonesi & Gowthami Venkateswaran, 2024. "Energy poverty risk: a spatial index based on energy efficiency," Questioni di Economia e Finanza (Occasional Papers) 864, Bank of Italy, Economic Research and International Relations Area.
    2. Camboni, Riccardo & Corsini, Alberto & Miniaci, Raffaele & Valbonesi, Paola, 2021. "Mapping fuel poverty risk at the municipal level. A small-scale analysis of Italian Energy Performance Certificate, census and survey data," Energy Policy, Elsevier, vol. 155(C).
    3. Matheus Koengkan & José Alberto Fuinhas & Anna Auza & Uğur Ursavaş, 2023. "The Impact of Energy Efficiency Regulations on Energy Poverty in Residential Dwellings in the Lisbon Metropolitan Area: An Empirical Investigation," Sustainability, MDPI, vol. 15(5), pages 1-29, February.
    4. Riccardo Camboni & Alberto Corsini & Raffaele Miniaci & Paola Valbonesi, 2023. "CO2 emissions reduction from residential buildings: cost estimate and policy design," "Marco Fanno" Working Papers 0304, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Aleksandar S. Anđelković & Miroslav Kljajić & Dušan Macura & Vladimir Munćan & Igor Mujan & Mladen Tomić & Željko Vlaović & Borivoj Stepanov, 2021. "Building Energy Performance Certificate—A Relevant Indicator of Actual Energy Consumption and Savings?," Energies, MDPI, vol. 14(12), pages 1-19, June.
    6. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).

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    More about this item

    Keywords

    Fuel Poverty; Energy Performance Certificates (EPCs); Building and dwelling Efficiency; Energy: Government Residential Policy;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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