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

Dan Lyu,

Pengjun Zhao,

Wenhui Zhu

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

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

Shan Lu

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123661 - 123661

Опубликована: Авг. 17, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 356, С. 120640 - 120640

Опубликована: Март 18, 2024

Язык: Английский

Процитировано

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

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113151 - 113151

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

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

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(20), С. 30099 - 30111

Опубликована: Апрель 11, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 1415(1), С. 012016 - 012016

Опубликована: Дек. 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.

Язык: Английский

Процитировано

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

Dan Lyu,

Pengjun Zhao,

Wenhui Zhu

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0