Electricity-consumption data reveals the economic impact and industry recovery during the pandemic

Abstract Coping with the outbreak of Coronavirus disease 2019 (COVID-19), many countries have implemented public-health measures and movement restrictions to prevent the spread of the virus. However, the strict mobility control also brought about production stagnation and market disruption, resultin...

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Autores principales:	Xinlei Wang, Caomingzhe Si, Jinjin Gu, Guolong Liu, Wenxuan Liu, Jing Qiu, Junhua Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3acace9f23c84b16b3216e08aa208c83
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spelling	oai:doaj.org-article:3acace9f23c84b16b3216e08aa208c832021-12-02T17:13:17ZElectricity-consumption data reveals the economic impact and industry recovery during the pandemic10.1038/s41598-021-98259-32045-2322https://doaj.org/article/3acace9f23c84b16b3216e08aa208c832021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98259-3https://doaj.org/toc/2045-2322Abstract Coping with the outbreak of Coronavirus disease 2019 (COVID-19), many countries have implemented public-health measures and movement restrictions to prevent the spread of the virus. However, the strict mobility control also brought about production stagnation and market disruption, resulting in a severe worldwide economic crisis. Quantifying the economic stagnation and predicting post-pandemic recovery are imperative issues. Besides, it is significant to examine how the impact of COVID-19 on economic activities varied with industries. As a reflection of enterprises’ production output, high-frequency electricity-consumption data is an intuitive and effective tool for evaluating the economic impact of COVID-19 on different industries. In this paper, we quantify and compare economic impacts on the electricity consumption of different industries in eastern China. In order to address this problem, we conduct causal analysis using a difference-in-difference (DID) estimation model to analyze the effects of multi-phase public-health measures. Our model employs the electricity-consumption data ranging from 2019 to 2020 of 96 counties in the Eastern China region, which covers three main economic sectors and their 53 sub-sectors. The results indicate that electricity demand of all industries (other than information transfer industry) rebounded after the initial shock, and is back to pre-pandemic trends after easing the control measures at the end of May 2020. Emergency response, the combination of all countermeasures to COVID-19 in a certain period, affected all industries, and the higher level of emergency response with stricter movement control resulted in a greater decrease in electricity consumption and production. The pandemic outbreak has a negative-lag effect on industries, and there is greater resilience in industries that are less dependent on human mobility for economic production and activities.Xinlei WangCaomingzhe SiJinjin GuGuolong LiuWenxuan LiuJing QiuJunhua ZhaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xinlei Wang Caomingzhe Si Jinjin Gu Guolong Liu Wenxuan Liu Jing Qiu Junhua Zhao Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
description	Abstract Coping with the outbreak of Coronavirus disease 2019 (COVID-19), many countries have implemented public-health measures and movement restrictions to prevent the spread of the virus. However, the strict mobility control also brought about production stagnation and market disruption, resulting in a severe worldwide economic crisis. Quantifying the economic stagnation and predicting post-pandemic recovery are imperative issues. Besides, it is significant to examine how the impact of COVID-19 on economic activities varied with industries. As a reflection of enterprises’ production output, high-frequency electricity-consumption data is an intuitive and effective tool for evaluating the economic impact of COVID-19 on different industries. In this paper, we quantify and compare economic impacts on the electricity consumption of different industries in eastern China. In order to address this problem, we conduct causal analysis using a difference-in-difference (DID) estimation model to analyze the effects of multi-phase public-health measures. Our model employs the electricity-consumption data ranging from 2019 to 2020 of 96 counties in the Eastern China region, which covers three main economic sectors and their 53 sub-sectors. The results indicate that electricity demand of all industries (other than information transfer industry) rebounded after the initial shock, and is back to pre-pandemic trends after easing the control measures at the end of May 2020. Emergency response, the combination of all countermeasures to COVID-19 in a certain period, affected all industries, and the higher level of emergency response with stricter movement control resulted in a greater decrease in electricity consumption and production. The pandemic outbreak has a negative-lag effect on industries, and there is greater resilience in industries that are less dependent on human mobility for economic production and activities.
format	article
author	Xinlei Wang Caomingzhe Si Jinjin Gu Guolong Liu Wenxuan Liu Jing Qiu Junhua Zhao
author_facet	Xinlei Wang Caomingzhe Si Jinjin Gu Guolong Liu Wenxuan Liu Jing Qiu Junhua Zhao
author_sort	Xinlei Wang
title	Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
title_short	Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
title_full	Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
title_fullStr	Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
title_full_unstemmed	Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
title_sort	electricity-consumption data reveals the economic impact and industry recovery during the pandemic
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3acace9f23c84b16b3216e08aa208c83
work_keys_str_mv	AT xinleiwang electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic AT caomingzhesi electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic AT jinjingu electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic AT guolongliu electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic AT wenxuanliu electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic AT jingqiu electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic AT junhuazhao electricityconsumptiondatarevealstheeconomicimpactandindustryrecoveryduringthepandemic
_version_	1718381371376795648

Electricity-consumption data reveals the economic impact and industry recovery during the pandemic

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