ReviewSustainable production and consumption2021
COVID-19 and energy: Influence mechanisms and research methodologies.
Review in Sustainable production and consumption, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 56 citations in OpenAlex.
- The link between electricity consumption and stock market during the pandemic in Türkiye: a novel high-frequency approach.Environmental science and pollution research international · 2024Article
- The role of trust, information and legal stability in the development of renewable energy: the analysis of non-economic factors affecting entrepreneurs' investments in green energy in Poland.Environment, development and sustainability · 2023Article
- Covid-19 and energy sector: Unique opportunity for switching to clean energy.Gondwana research : international geoscience journal · 2023Article
- The macro-economic and COEconomic analysis and policy · 2022Article
- Impact of COVID-19 restrictions on building energy consumption using Phase Change Materials (PCM) and insulation: A case study in six climatic zones of Morocco.Journal of energy storage · 2022Article
- Energy efficiency in large office buildings post-COVID-19 in Europe's top five economies.Energy for sustainable development : the journal of the International Energy Initiative · 2022Article
- Assessing the impact of the COVID-19 lockdown on the energy consumption of university buildings.Energy and buildings · 2022Article
- The Impacts of COVID-19 on China's Economy and Energy in the Context of Trade Protectionism.International journal of environmental research and public health · 2021Article
- A post-pandemic sustainable scenario: What actions can be pursued to increase the raw materials availability?Environmental research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considering the important role of energy in modern society, it is imperative to study the current situation and future development of energy under the influence of COVID-19. This paper identifies the current research hotspots, proposes future research directions accordingly, and summarizes the methodologies via a bibliometric analysis. Five research hotspots include COVID-19 and the changes of energy consumption, COVID-19 and the fluctuation of the energy market, COVID-19 and the development of renewable energy, COVID-19 and climate impacts caused by energy consumption, and COVID-19 and the energy policy. According to the influence mechanism of COVID-19 on each hotspot, the pandemic has exerted short-term influencs on energy consumption, energy price, and air pollution. Meanwhile, the pandemic could have a far-reaching impact on the renewable energy sector, climate, and energy policy. In addition, the main methodologies are reviewed, revealing that regression analysis and scenario analysis are commonly used as the quantitative and qualitative methods, respectively. Moreover, given the nonlinear relations between the pandemic and energy, an artificial neural networks model is used to enhance the prediction efficiency of energy demand and price. Finally, policy implications for obtaining clean, low-carbon, safe, and efficient energy in the context of COVID-19 are proposed.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.