Pollution characteristics and sources of environmentally persistent free radicals and oxidation potential in fine particulate matter related to city lockdown (CLD) in Xi'an, China DOI

Dyussenova Ainur,

Qingcai Chen, Yuqin Wang

et al.

Environmental Research, Journal Year: 2022, Volume and Issue: 210, P. 112899 - 112899

Published: Feb. 14, 2022

Language: Английский

From oil surges to renewable shifts: Unveiling the dynamic impact of supply and demand shocks in global crude oil market on U.S. clean energy trends DOI
Parisa Esmaeili, Meysam Rafei, Mahmoud Salari

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 192, P. 114252 - 114252

Published: July 8, 2024

Language: Английский

Citations

10
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model DOI
Utkucan Şahin

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 209, P. 118429 - 118429

Published: Aug. 8, 2022

Language: Английский

Citations

38
Estimating energy-related CO2 emissions using a novel multivariable fuzzy grey model with time-delay and interaction effect characteristics DOI
Qi Ding, Xinping Xiao,

Dekai Kong

et al.

Energy, Journal Year: 2022, Volume and Issue: 263, P. 126005 - 126005

Published: Nov. 11, 2022

Language: Английский

Citations

35
ARIMA model for predicting chronic kidney disease and estimating its economic burden in China DOI Creative Commons

Yining Jian,

Di Zhu,

Dongnan Zhou

et al.

BMC Public Health, Journal Year: 2022, Volume and Issue: 22(1)

Published: Dec. 30, 2022

Chronic kidney disease (CKD) is an important global public health issue. In China, CKD affects a large number of patients and causes huge economic burden. This study provided new way to predict the with estimate its burden in China based on autoregressive integrated moving average (ARIMA) model.Data from 2000 2019 were obtained Global Burden Disease. The ARIMA model was used fit CKD. direct indirect estimated by bottom-up approach human capital respectively.The results coefficient determination (0.99), mean absolute percentage error (0.26%), (343,193.8) root squared (628,230.3) showed that (1,1,1) fitted well. Akaike information criterion (543.13) Bayesian (546.69) indicated reliable when analyzing our data. result relative prediction (0.23%) also suggested predicted 2020 2025 be about 153 million, 155 157 160 163 million 165 respectively, accounting for more than 10% Chinese population. total $179 billion, $182 $185 $188 $191 $194 billion $198 will continue rise China. would increase 2.6 (1.6%) per year 2025. Meanwhile, $3.1 year. applicable provides perspective comprehensive understanding future risk

Language: Английский

Citations

31
Sustainable development during the post-COVID-19 period: Role of crude oil DOI

Lijuan Peng,

Chao Liang

Resources Policy, Journal Year: 2023, Volume and Issue: 85, P. 103843 - 103843

Published: July 4, 2023

Language: Английский

Citations

19
The COVID-19 pandemic reshapes the plastic pollution research – A comparative analysis of plastic pollution research before and during the pandemic DOI Open Access

Qiang Wang,

Min Zhang, Rongrong Li

et al.

Environmental Research, Journal Year: 2021, Volume and Issue: 208, P. 112634 - 112634

Published: Dec. 29, 2021

Language: Английский

Citations

36
The negative impact of the COVID-19 on renewable energy growth in developing countries: Underestimated DOI
Shuyu Li,

Qiang Wang,

Xue-ting Jiang

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 367, P. 132996 - 132996

Published: July 8, 2022

Language: Английский

Citations

28
Towards smart energy systems – A survey about the impact of COVID-19 pandemic on renewable energy research DOI Creative Commons

Qiang Wang,

Rui Huang, Rongrong Li

et al.

Energy Strategy Reviews, Journal Year: 2022, Volume and Issue: 41, P. 100845 - 100845

Published: April 15, 2022

The COVID-19 pandemic has a significant impact on renewable energy. This work investigates the effect of energy research from four aspects: regional cooperation model research, hotspots during pandemic, development trend in post-pandemic, policy recommendations for post-epidemic era. Systematic literature review (SLR), latent semantic analysis (LSA), and machine learning–based (principle component analysis) are used to analyze relevant Scopus database. results geographic visualization show not hindered but promoted bilateral field among " Belt Road partner countries, with China at core. visual pandemics is divided into two categories: "opportunities" "crisis", further obtained five sustainable development, environmental management, carbon emission, solar photovoltaic power, wind power. keyword evolution map indicate main directions post-pandemic: (1) Clean investment become an important measure revitalize economy after epidemic. (2) Energy efficiency will effectively promote Finally, we put forward suggestions how build smart system

Language: Английский

Citations

23
Effect of social media marketing on online travel purchase behavior post-COVID-19: mediating role of brand trust and brand loyalty DOI Creative Commons
Mohd Azhar, Rehan Husain, Sheeba Hamid

et al.

Future Business Journal, Journal Year: 2023, Volume and Issue: 9(1)

Published: March 28, 2023

Abstract The present study intends to unleash the influence of social media marketing (SMM) on purchase intention (PI), brand trust (BT) and loyalty (BL) in setting online travel booking websites. It also analyses mediating effect BT BL relationship between SMM PI. This examines importance suggested model, which adds current research this area. A self-administered questionnaire was employed collect data from users websites, rested upon 397 valid responses. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) through Smart PLS v.3.2.6. findings reveal that has a favorable substantial impact BL, influencing COVID-19 intention. As per findings, BL's beneficial arranging discovered. Moreover, it confirmed results mediate Therefore, significantly impacts trip intentions with increased levels. Finally, several theoretical managerial implications can be delineated for industry academia.

Language: Английский

Citations

16
Multifractals and multiscale entropy patterns in energy markets under the effect of the COVID-19 pandemic DOI Creative Commons
Salim Lahmiri

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 7, P. 100247 - 100247

Published: May 10, 2023

This study uses the wavelet leaders method to examine multifractal characteristics and multiscale entropy patterns in price returns of four energy markets, Brent, West Texas Intermediate (WTI), gasoline, heating oil, before during COVID-19 pandemic. The results show that all markets exhibit properties In addition, level multifractals intensified pandemic only WTI, gasoline markets. On contrary, decreased oil market. empirical based on strong evidence a reduced irregularity market Our findings have important managerial implications for traders investors

Language: Английский

Citations

15