The Impact of COVID-19 on Energy Consumption in the United States: An Overview

2021 ◽  
Author(s):  
Lindsey Kahn ◽  
Hamidreza Najafi
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Energy Use ◽  
The United States ◽  
Average Annual Growth Rate ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
End User ◽  
End Use ◽  
The Impact

Abstract Lockdown measures and mobility restrictions implemented to combat the spread of the novel COVID-19 virus have impacted energy consumption patterns, particularly in the United States. A review of available data and literature on the impact of the pandemic on energy consumption is performed to understand the current knowledge on this topic. The overall decline of energy use during lockdown restrictions can best be identified through the analysis of energy consumption by source and end-user breakdown. Using monthly energy consumption data, the total 9-months use between January and September for the years 2015–2020 are calculated for each end-use. The cumulative consumption within these 9 months of the petroleum, natural gas, biomass, and electricity energy by the various end-use sectors are compared to identify a shift in use throughout time with the calculation of the percent change from 2019 to 2020. The analysis shows that the transportation sector experienced the most dramatic decline, having a subsequent impact on the primary energy it uses. A steep decline in the use of petroleum and natural gas by the transportation sector has had an inevitable impact on the emission of carbon dioxide and other air pollutants during the pandemic. Additionally, the most current data for the consumption of electricity by each state and each end-user in the times before and during the pandemic highlights the impact of specific lockdown procedures on energy use. The average total consumption for each state was found for the years 2015–2019. This result is used calculation of yearly growth rate and average annual growth rate in 2020 for each state and end-user. The total average annual growth rate for 2020 was used to find a correlation coefficient between COVID-19 case and death rates as well as population density and lockdown duration. To further examine the relationship a correlation coefficient was calculated between the 2020 average annual growth rate for all sectors and average annual growth rate for each individual end-user.

An Investigation of the Impact of COVID-19 Pandemic on Energy Consumption in the United States

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Lindsey Kahn ◽  
Hamidreza Najafi
Keyword(s):  
Energy Consumption ◽  
Correlation Coefficient ◽  
Energy Use ◽  
The United States ◽  
Annual Growth Rate ◽  
Total Consumption ◽  
The Usa ◽  
End Use ◽  
The Times ◽  
The Impact

Abstract Lockdown measures and mobility restrictions to combat the spread of COVID-19 have impacted energy consumption patterns. The overall decline of energy use during lockdown restrictions can best be identified through the analysis of energy consumption by source and end-use sectors. Using monthly energy consumption data, the total 9-months use between January and September for the years 2015–2020 is calculated for each end-use sector (transportation, industrial, residential, and commercial). The cumulative consumption within these 9 months of the petroleum, natural gas, biomass, and electricity energy by the various end-use sectors are compared. The analysis shows that the transportation sector experienced the greatest decline (14.38%). To further analyze the impact of COVID-19 on each state within the USA, the consumption of electricity by each state and each end-use sector in the times before and during the pandemic is used to identify the impact of specific lockdown procedures on energy use. The distinction of state-by-state analysis in this study provides a unique metric for consumption forecasting. The average total consumption for each state was found for the years 2015–2019. The total average annual growth rate (AAGR) for 2020 was used to find a correlation coefficient between COVID-19 case and death rate, population density, and lockdown duration. A correlation coefficient was also calculated between the 2020 AAGR for all sectors and AAGR for each individual end-user. The results show that Indiana had the highest percent reduction in consumption of 10.07% while North Dakota had the highest consumption increase of 7.61%. This is likely due to the amount of industrial consumption relative to other sectors in the state.

Authorship Pattern and Collaboration Coefficient of Library Professional’s Competency on Research Publications During 1999-2018: A Scientometric Analysis

2019 ◽  
Vol 9 (1) ◽  
pp. 85-89
Author(s):  
Nutan Gaud ◽  
M. P. Singh ◽  
Bhoopendra Singh
Keyword(s):  
Growth Rate ◽  
Doubling Time ◽  
The United States ◽  
Annual Growth ◽  
Scientometric Analysis ◽  
Annual Growth Rate ◽  
Authorship Pattern ◽  
Relative Growth ◽  
Compound Annual Growth Rate ◽  
Scopus Database

The present study aims to analysis authorship pattern and collaboration coefficient of library professional’s competency publications research from 1999-2018. The data has been downloaded by Scopus database. A total number of published articles during the period of study was 433 in the particular database on the topic of ‘professional’s competency’. The study examine various scientometric parameter such as authorship pattern, year wise distribution of publication, determine the annual growth rate and compound annual growth rate of publication, relative growth rate and doubling time of publication and so many. After the analysis, it is found that the highest 11.78% of an article published in the year 2015. The highest growth rate in 2000 and the lowest in 1999. The United States published highest 174 article and secured first place in top five countries wish distribution of the publication. Majority of the article is published by single authors is 171 articles during the period of study.

Impact of the COVID-19 Outbreak on the Currency Exchanges of Selected Countries

2022 ◽  
Vol 14 (2) ◽  
pp. 73-91
Author(s):  
Sudhi Sharma ◽  
Miklesh Prasad Yadav ◽  
Babita Jha
Keyword(s):  
Growth Rate ◽  
Negative Impact ◽  
Annual Growth ◽  
Conditional Heteroskedasticity ◽  
Annual Growth Rate ◽  
Dummy Variable ◽  
Currency Market ◽  
Autoregressive Conditional Heteroskedasticity ◽  
The Impact

The paper aims to analyse the impact of the COVID outbreak on the currency market. The study considers spot rates of seven major currencies (i.e., EUR/USD, USD/JPY, GBP/USD, AUD/USD, USD/CAD, USD/CHF, and CHF/JPY). To capture the impact of the outbreak on returns and the volatility of returns of seven currencies during pandemic, the study has segregated in two window periods (i.e., pre- [1st Jan 2019 to 31st Dec, 2019] and post-outbreak of COVID-19 [1st Jan, 2020 to 22nd Dec, 2020]). The study has applied various methods and models (i.e., econometric-based compounded annual growth rate [CAGR], dummy variable regression, and generalized autoregressive conditional heteroskedasticity [GARCH]). The result of the study captures the negative impact of the COVID-19 pandemic on three currencies—USD/JPY, AUD/USD, and USD/CHF—and positive significant impact on EUR/USD, GBP/USD, USD/CAD, and CHF/JPY. Investors can take short position in these while having long position in other currencies. The inferences drawn from the analysis are providing insight to investors and hedgers.

Overseas Chinese Investments in China – Patterns of Growth, Diversification and Finance: The Case of Charoen Pokphand

1998 ◽  
Vol 155 ◽  
pp. 610-636 ◽  
Author(s):  
Rajeswary Ampalavanar-Brown
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
European Countries ◽  
Average Annual Growth Rate ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Overseas Chinese ◽  
Remarkable Increase ◽  
Industrial Employment ◽  
Average Rise

The accelerated economic growth of Asia over the last three decades is well documented. While Britain and many other European countries experienced an average rise of real productivity by 2–3 per cent every year from 1973–1992, Asian growth frequently soared over 8 per cent, particularly after 1978. China in particular saw a remarkable increase in the average annual growth rate of GDP from 7 per cent in 1976 to a constant 9 per cent in the 1978 to 1988 period. In 1992 it rose again to 13 per cent, subsequently fluctuating between 8 per cent and 9 per cent. The contribution of agriculture to GDP increased from 28 per cent 1978 to 34 per cent in 1982. Thereafter a contraction in agriculture's share – from 34 per cent back to 24 per cent – reflected a major expansion in industry and services. There was an increase in industrial employment from 18 per cent to 21 per cent, and in that of services from 14 per cent to 18 per cent.

scholarly journals Mapping the Research Trends on Information Literacy of Selected Countries during 2008 2017 A Scientometric Analysis

2019 ◽  
Vol 39 (3) ◽  
pp. 125-130
Author(s):  
Manoj Kumar Verma ◽  
Ravi Shukla
Keyword(s):  
Growth Rate ◽  
Information Literacy ◽  
The United States ◽  
Annual Growth ◽  
Scientometric Analysis ◽  
Annual Growth Rate ◽  
Compound Annual Growth Rate ◽  
The United Kingdom ◽  
Measurement Tools ◽  
Prolific Authors

The growth rate of literature on ‘Information Literacy’ during the period of 10 years i.e. (2008-2017) in which a total of 9496 research papers were published in the field of Information Literacy is analysed. A scientometric study is one of the most famous measurement tools to identify and find out the publications trends in the field of sciences. The study analysed and examined the different scientometric parameters i.e. year wise distributions of publications, annual growth rate, compound annual growth rate, relative growth rate and doubling time, most productive authors, geographical distributions and found that the maximum 1234 (12.99 %) were published in 2016, 25.679 per cent annual growth rate was recorded in the year 2010 and the maximum 10.212 per cent CAGR recorded in 2009. The maximum RGR 0.795 and Dt. 5.824 were recorded in 2009 and 2017, respectively. The most prolific authors were Wolf, M.S with 65 publication, followed by 31 publication by Pinto, M. The maximum citations were recorded in the 2010 i.e. 14298, followed by 13594 citation in 2011. The maximum 5770 of contributions were published by the United States, followed by the United Kingdom with 1028 contribution.

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