GEOPOLITICAL TURMOIL AND ENERGY DYNAMICS: ANALYZING THE IMPACT ON INFLATION IN SELECTED EUROPEAN ECONOMIES DOI Creative Commons
Cumali Marangoz

Heliyon, Journal Year: 2025, Volume and Issue: 11(3), P. e42302 - e42302

Published: Jan. 29, 2025

This paper attempts to examine the impact of energy price shocks, monetary policy, and geopolitical events on inflation in selected European countries across different periods time by applying a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model with stochastic volatility. The analysis displays diverse gas prices Consumer Price Index (CPI), gauge for inflation, short, medium, long term. Moreover, findings show that oil shocks deflationary trends during COVID-19 have inflationary consequences. results also Central Bank's response pandemic-induced economic downturn has affected long-term trends. Furthermore, significant risks arose from Russia-Ukraine war amplified contribute valuable insights into multifaceted dynamics shaping economies.

Language: Английский

Biochar: From by-products of agro-industrial lignocellulosic waste to tailored carbon-based catalysts for biomass thermochemical conversions DOI Creative Commons
Rongge Zou, Moriko Qian, Chenxi Wang

et al.

Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 441, P. 135972 - 135972

Published: March 23, 2022

Language: Английский

Citations

127

Industrial robots and air environment: A moderated mediation model of population density and energy consumption DOI
Fushu Luan, Xinhui Yang, Yang Chen

et al.

Sustainable Production and Consumption, Journal Year: 2022, Volume and Issue: 30, P. 870 - 888

Published: Jan. 19, 2022

Language: Английский

Citations

93

Air pollution, water pollution, and robots: Is technology the panacea DOI
Jian Song, Yang Chen, Fushu Luan

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 330, P. 117170 - 117170

Published: Dec. 29, 2022

Language: Английский

Citations

74

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review DOI Open Access
Jia Tian, Ryozo Ooka,

Doyun Lee

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 426, P. 139040 - 139040

Published: Sept. 30, 2023

Language: Английский

Citations

48

Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies DOI
Ioannis Chatziantoniou, Ahmed H. Elsayed,

David Gabauer

et al.

Energy Economics, Journal Year: 2023, Volume and Issue: 120, P. 106627 - 106627

Published: March 23, 2023

Language: Английский

Citations

47

Research on the Prediction Method of Monthly Hidden Danger Quantity in Coal Mine Based on BP Neural Network Periodic Combination Model DOI Open Access
Jing Li, Ruixin Zhang, Zequan Li

et al.

Mathematical Problems in Engineering, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 10

Published: Dec. 28, 2022

To better prevent the occurrence of hidden dangers coal mine accidents and ensure safety production enterprises. This paper mines analyses pattern historical monthly danger quantity in constructs three models: traditional backpropagation (BP) neural network model, BP based on adaptive moment estimation optimization algorithm (Adam-BP) prediction model with introduction moderators (Month-Adam-BP). The experimental results show that Adam-BP can improve accuracy, which mean absolute percentage error (MAPE) improves by 8.93%, root square (RMSE) 8.15%, postdifference ratio C 0.04, small probability P 0.12; Month-Adam-BP adjustment factor further MAPE 2.61%, RMSE 5.41%, 0.06, 0.03. And accuracy reaches level 2 standard credible effect; it also be used to predict periodic characteristics hazard data. Our predicted number hazards this for next month is 29, an increase compared previous month. Thus, managers need strengthen management accidents, serve standardization smooth mine.

Language: Английский

Citations

50

Impact of COVID-19 on electricity energy consumption: A quantitative analysis on electricity DOI
Zonghan Li,

Hongkai Ye,

Najia Liao

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2022, Volume and Issue: 140, P. 108084 - 108084

Published: Feb. 25, 2022

Language: Английский

Citations

41

Plastic pollution induced by the COVID-19: Environmental challenges and outlook DOI Open Access

Qiang Wang,

Chen Zhang, Rongrong Li

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(14), P. 40405 - 40426

Published: Jan. 7, 2023

Language: Английский

Citations

37

Impact of e-service quality on e-loyalty of online banking customers in Pakistan during the Covid-19 pandemic: mediating role of e-satisfaction DOI Creative Commons

Fahad Najeeb Khan,

Muhammad Usman Arshad, Muhammad Miftahul Munir

et al.

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

Published: May 23, 2023

Abstract This study explores the mediating role of e-satisfaction during pandemic on relationship between e-service quality and e-loyalty banking customers in Pakistan. The data were collected from 442 online services Pakistan Covid-19 pandemic, following a survey-based study. Baron Kenny (J Personal Soc Psychol, 51(6):1173, 1986) Preacher Hayes (Behav Res Methods, 40(3):879-891, 2008) mediation technique which utilizes bootstrapping method has been used to explore mediation. findings show that significant positive effect services. Relationships are significantly fully mediated by their satisfaction unusual situations. would help bankers implement more effective marketing strategies retain attract potential customers, particularly non-normal situations like pandemic. It will them identify areas e-services need improvement enhance loyalty customers. bootstrap for along with leads using sophisticated methodological Oliver Expectancy-Disconfirmation Paradigm (EDP) electronic setup also served as unique contribution this Application robust add scientific value they applicable sector particular overall service general. Further, two different methods have employed makes rigorous scientific.

Language: Английский

Citations

24

An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting DOI

Zenan Xiao,

Bixuan Gao, Xiaoqiao Huang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 436, P. 140585 - 140585

Published: Jan. 1, 2024

Language: Английский

Citations

11