The implicit cost of carbon abatement during the COVID-19 pandemic

Fabra, Natalia; Lacuesta, Aitor; Souza, Mateus

doi:10.1016/j.euroecorev.2022.104165

Cited by 5 publications

(4 citation statements)

References 42 publications

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“…The impact of the pandemic on the power sector has attracted the attention of several institutions and scholars worldwide (Benatia, 2020(Benatia, , 2022Cheshmehzangi, 2020;Steve, 2020;Fabra et al, 2020;Fezzi and Fanghella, 2020;Leach et al, 2020;Ghiani et al, 2020;Ruan et al, 2020). These studies focus on measuring the declines of electricity consumption and the con-sequences for the performance of electricity markets in various countries.…”

Section: Related Literaturementioning

confidence: 99%

Firms and Households during the Pandemic: What Do We Learn from Their Electricity Consumption?

Hidiroglu¹,

Fabra²,

Uribe³

et al. 2023

The Energy Journal

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We analyze the impact of the COVID-19 pandemic on electricity consumption patterns. We highlight the importance of decomposing total electricity consumption into consumption by firms and by households to better understand the economic and social impacts of the crisis. While electricity demand by firms has fallen substantially, the demand by households has gone up. In particular, our focus is on Spain where, during the total lockdown, these effects reached −29% and +10% respectively, controlling for temperature and seasonality. While the electricity demand reductions during the second wave were milder, the demand by firms remained 5% below its normal levels. We also document a change in people's daily routines in response to the stringency of the lockdown measures, as reflected in their hourly electricity consumption patterns.

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Section: Related Literaturementioning

confidence: 99%

Firms and Households during the Pandemic: What Do We Learn from Their Electricity Consumption?

Hidiroglu¹,

Fabra²,

Uribe³

et al. 2023

The Energy Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although in-state demand is nearly insensitive to prices, unobserved supply and demand shocks can coincidentally affect prices and production, such as import and export bids, 35. In some European countries, wind plants have also been marginal in a few hours during the lockdown period (Fabra et al, 2022).…”

Section: Day-ahead Marketmentioning

confidence: 99%

“…The empirical framework based on machine learning counterfactual predictions used in this paper was inspired by the work of Burlig et al (2020) on energy efficiency. There is a burgeoning literature in energy and environmental economics using machine learning methods for policy evaluation and regulation (Abrell et al, 2019;Benatia and Billette de Villemeur, 2019;Benatia, 2022;Fabra et al, 2022;Graf et al, 2020). This paper combines a machine learning approach with a structural econometric model to obtain counterfactual market outcomes assuming the pandemic had not occurred.…”

Section: Introductionmentioning

confidence: 99%

“…Those estimates are in line with EIA (2020) and NYISO (2020), and are qualitatively similar to other electricity systems in North America (AESO, 2020;Brewer, 2020;ERCOT, 2020;ISONE, 2020;PJM, 2020). Demand reductions in Europe have, in comparison, been significantly larger due to more stringent sanitary measures (Benatia, 2022;Fabra et al, 2022;Narajewski and Ziel, 2020;RTE, 2020).…”

Section: Introductionmentioning

confidence: 99%

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