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The determinants of energy efficient retrofit investments in the English residential sector

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  • Trotta, Gianluca

Abstract

Meeting the UK's long-term carbon emissions target implies significant energy performance improvements of the existing residential building stock that is amongst the oldest and least energy efficient in Europe. A better understanding of the key determinants of energy efficient retrofit investments in the residential sector is therefore crucial for the design of effective policies aimed at reducing energy demand and CO2 emissions. This article uses combined data from “English Housing” surveys and employs a probit model in order to investigate the dwelling-related and households characteristics influencing energy efficient retrofit investments in the English residential sector.

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  • Trotta, Gianluca, 2018. "The determinants of energy efficient retrofit investments in the English residential sector," Energy Policy, Elsevier, vol. 120(C), pages 175-182.
    • Handle: RePEc:eee:enepol:v:120:y:2018:i:c:p:175-182
    DOI: 10.1016/j.enpol.2018.05.024
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    10. Li, X. & Arbabi, H. & Bennett, G. & Oreszczyn, T. & Densley Tingley, D., 2022. "Net zero by 2050: Investigating carbon-budget compliant retrofit measures for the English housing stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
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    18. Cellini, Stefano, 2021. "Split incentives and endogenous inattention in home retrofits uptake: a story of selection on unobservables?," Energy Economics, Elsevier, vol. 104(C).
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    21. Spyridon Karytsas & Eleni Theodoropoulou, 2023. "Awareness and Utilization of Incentive Programs for Household Energy-Saving Renovations: Empirical Findings from Greece," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    22. Belaïd, Fateh & Massié, Camille, 2023. "Driving forward a low-carbon built environment: The impact of energy context and environmental concerns on building renovation," Energy Economics, Elsevier, vol. 124(C).
    23. Deb, C. & Schlueter, A., 2021. "Review of data-driven energy modelling techniques for building retrofit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).

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