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Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences

As the first country to restart the economy after the COVID-19 pandemic, China's fast-growing energy consumption has brought huge challenges to the energy system. In this context, ensuring a stable energy supply requires accurate estimates of energy consumption for China's post-Covid-19 pa...

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Detalles Bibliográficos
Autores principales: Wang, Qiang, Zhang, Fuyu, Li, Rongrong, Li, Lejia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186445/
http://dx.doi.org/10.1016/j.esr.2022.100881
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author Wang, Qiang
Zhang, Fuyu
Li, Rongrong
Li, Lejia
author_facet Wang, Qiang
Zhang, Fuyu
Li, Rongrong
Li, Lejia
author_sort Wang, Qiang
collection PubMed
description As the first country to restart the economy after the COVID-19 pandemic, China's fast-growing energy consumption has brought huge challenges to the energy system. In this context, ensuring a stable energy supply requires accurate estimates of energy consumption for China's post-Covid-19 pandemic economic recovery. To this end, this study uses multiple panel regression model to explore the relationship between energy consumption and economic growth from the perspective of energy sources (total energy, coal, oil, natural gas) and regional difference. The data from 30 provinces in China from 2000 to 2017 were selected. Our findings indicate that China economic growth has led to the largest increase for oil consumption, followed by natural gas consumption, and finally coal consumption. That is, China economic growth has led to the largest increase for oil consumption, followed by natural gas consumption, and finally coal consumption. In addition, the coefficients of regional energy consumption equations are heterogeneous. Among them, energy consumption growth in provinces with high energy consumption is most affected by economic growth, followed by provinces with low energy consumption, and finally provinces with middle energy consumption.
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spelling pubmed-91864452022-06-10 Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences Wang, Qiang Zhang, Fuyu Li, Rongrong Li, Lejia Energy Strategy Reviews Article As the first country to restart the economy after the COVID-19 pandemic, China's fast-growing energy consumption has brought huge challenges to the energy system. In this context, ensuring a stable energy supply requires accurate estimates of energy consumption for China's post-Covid-19 pandemic economic recovery. To this end, this study uses multiple panel regression model to explore the relationship between energy consumption and economic growth from the perspective of energy sources (total energy, coal, oil, natural gas) and regional difference. The data from 30 provinces in China from 2000 to 2017 were selected. Our findings indicate that China economic growth has led to the largest increase for oil consumption, followed by natural gas consumption, and finally coal consumption. That is, China economic growth has led to the largest increase for oil consumption, followed by natural gas consumption, and finally coal consumption. In addition, the coefficients of regional energy consumption equations are heterogeneous. Among them, energy consumption growth in provinces with high energy consumption is most affected by economic growth, followed by provinces with low energy consumption, and finally provinces with middle energy consumption. The Author(s). Published by Elsevier Ltd. 2022-07 2022-06-10 /pmc/articles/PMC9186445/ http://dx.doi.org/10.1016/j.esr.2022.100881 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Wang, Qiang
Zhang, Fuyu
Li, Rongrong
Li, Lejia
Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
title Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
title_full Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
title_fullStr Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
title_full_unstemmed Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
title_short Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
title_sort forecasting china's energy demand post-covid-19 pandemic: insights from energy type differences and regional differences
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186445/
http://dx.doi.org/10.1016/j.esr.2022.100881
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