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Quantifying the Distributional Impact of Energy Efficiency Measures

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  • Daire McCoy and Raphaela A. Kotsch

Abstract

The distributional impact of the low-carbon transition is an increasingly important topic both for academics and policymakers. Quantifying where the costs and benefits fall can provide greater insight into the equity and cost-effectiveness of government policies, and improve our understanding of household investment decisions. This paper provides new evidence on the distribution of returns from energy efficiency measures both over time and across household-type. A range of econometric techniques are applied to a database of over four million households over an eight year period to quantify heterogeneity, persistence and how these factors impact the relative cost-effectiveness of measures. Results suggest that more deprived households experience lower energy savings, the difference persists over time, and that significantly heterogeneity may be present across levels of deprivation and income deciles that can not be explained by differences in baseline consumption. Measures have been largely cost-effective but savings are much lower than previous policy evaluations using ex-ante estimates would suggest.

Suggested Citation

  • Daire McCoy and Raphaela A. Kotsch, 2021. "Quantifying the Distributional Impact of Energy Efficiency Measures," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    • Handle: RePEc:aen:journl:ej42-6-mccoy
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    Cited by:

    1. Vona, Francesco, 2023. "Managing the distributional effects of climate policies: A narrow path to a just transition," Ecological Economics, Elsevier, vol. 205(C).
    2. Ilyas, Rubina & Hussain, Khadim & Ullah, Mehreen Zaid & Xue, Jianhong, 2022. "Distributional impact of phasing out residential electricity subsidies on household welfare," Energy Policy, Elsevier, vol. 163(C).
    3. Peñasco, Cristina & Anadón, Laura Díaz, 2023. "Assessing the effectiveness of energy efficiency measures in the residential sector gas consumption through dynamic treatment effects: Evidence from England and Wales," Energy Economics, Elsevier, vol. 117(C).
    4. Vincent P. Roberdel & Ioulia V. Ossokina & Vladimir A. Karamychev & Theo A. Arentze, 2023. "Energy-efficient homes: effects on poverty, environment and comfort," Tinbergen Institute Discussion Papers 23-082/V, Tinbergen Institute.
    5. Saunders, Harry D. & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgupta, Shyamasree & De La Rue Du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Lin, Boqiang, 2021. "Energy efficiency: what has research delivered in the last 40 years?," LSE Research Online Documents on Economics 114344, London School of Economics and Political Science, LSE Library.
    6. Hammerle, Mara & Burke, Paul J., 2022. "From natural gas to electric appliances: Energy use and emissions implications in Australian homes," Energy Economics, Elsevier, vol. 110(C).
    7. Singhal, Puja & Pahle, Michael & Kalkuhl, Matthias & Levesque, Antoine & Sommer, Stephan & Berneiser, Jessica, 2022. "Beyond good faith: Why evidence-based policy is necessary to decarbonize buildings cost-effectively in Germany," Energy Policy, Elsevier, vol. 169(C).

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    JEL classification:

    • F0 - International Economics - - General

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