Impact of Russia–Ukraine Conflict on Global Crude Oil Shipping Carbon Emissions DOI

Dan Lyu,

Pengjun Zhao,

Wenhui Zhu

et al.

Published: Jan. 1, 2024

Language: Английский

Identifying the multiple nexus between geopolitical risk, energy resilience, and carbon emissions: Evidence from global data DOI
Yanchao Feng, Yuxi Pan,

Shan Lu

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 208, P. 123661 - 123661

Published: Aug. 17, 2024

Language: Английский

Citations

16
Carbon reduction attention and financial market stress: A network spillover analysis based on quantile VAR modeling DOI
Qingjun Zhang, Renyi Wei

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 356, P. 120640 - 120640

Published: March 18, 2024

Language: Английский

Citations

12
Smart Cities, Smarter land Use? Unveiling the efficiency gains from China’s digital urban transformation DOI Creative Commons
Zhenyu Zhuo, Jianbo Ye, Yu Wang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113151 - 113151

Published: Jan. 31, 2025

Language: Английский

Citations

0
The dynamic risk spillover effects among carbon, renewable energy, and electricity markets based on the TVP-VAR-DY model DOI
Yimin Luo, Shuifeng Hong, Fengtao Guang

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(20), P. 30099 - 30111

Published: April 11, 2024

Language: Английский

Citations

2
Geoinformation assessment of solar plant potential in the Ivano-Frankivsk region to achieve effective decarbonisation and energy stability DOI Open Access
L. Davybida

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1415(1), P. 012016 - 012016

Published: Dec. 1, 2024

Abstract Despite the ongoing hostilities in Ukraine, country has begun its recovery process. The renovation should be line with principles of energy efficiency and decarbonisation, an emphasis on use renewable sources. study aims to identify most suitable locations for establishing solar power stations Ivano-Frankivsk region using GIS software. It also provides a cartographic model showing suitability different areas local communities, providing valuable information potential investors. calculation process was carried out QGIS, incorporating environmental, technical economic factors, resulted development conclusive map. primary assessment photovoltaic conducted communities within region. promising potential, estimated over 50 MW, were ranked according their plants.

Language: Английский

Citations

1
Impact of Russia–Ukraine Conflict on Global Crude Oil Shipping Carbon Emissions DOI

Dan Lyu,

Pengjun Zhao,

Wenhui Zhu

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0