Testing the impact of renewable energy and oil price on carbon emission intensity in China's transportation sector
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96859" target="_blank" >RIV/60460709:41110/23:96859 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/s11356-023-28053-3" target="_blank" >https://doi.org/10.1007/s11356-023-28053-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11356-023-28053-3" target="_blank" >10.1007/s11356-023-28053-3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Testing the impact of renewable energy and oil price on carbon emission intensity in China's transportation sector
Popis výsledku v původním jazyce
As the largest carbon emitter in the world, with its transportation sector contributing the largest shares of its emission, the need for a low-carbon transition economy has become a policy agenda for China because in order to reach carbon neutrality by 2050, lowering the intensity of carbon emissions in the transportation sector will be crucial. In this regard, we used the "bootstrap autoregressive distributed lag model" to explore the impact of clean energy and oil prices on the intensity of carbon emissions in China's transportation sector. The study found that an increase in oil prices decreases the intensity of carbon emissions in the short and long run. Similarly, an increase in the level of renewable energy and economic complexity declines the intensity of carbon emissions in the transportation sector. On the contrary, the research demonstrates that non-renewable energy contributes positively to carbon emission intensity. Therefore, the authorities must promote green technology to neutralize the transportation system's detrimental effects on China's environmental quality. The implications for successfully promoting carbon emission intensity mitigation in the transportation sector are examined in the conclusion.
Název v anglickém jazyce
Testing the impact of renewable energy and oil price on carbon emission intensity in China's transportation sector
Popis výsledku anglicky
As the largest carbon emitter in the world, with its transportation sector contributing the largest shares of its emission, the need for a low-carbon transition economy has become a policy agenda for China because in order to reach carbon neutrality by 2050, lowering the intensity of carbon emissions in the transportation sector will be crucial. In this regard, we used the "bootstrap autoregressive distributed lag model" to explore the impact of clean energy and oil prices on the intensity of carbon emissions in China's transportation sector. The study found that an increase in oil prices decreases the intensity of carbon emissions in the short and long run. Similarly, an increase in the level of renewable energy and economic complexity declines the intensity of carbon emissions in the transportation sector. On the contrary, the research demonstrates that non-renewable energy contributes positively to carbon emission intensity. Therefore, the authorities must promote green technology to neutralize the transportation system's detrimental effects on China's environmental quality. The implications for successfully promoting carbon emission intensity mitigation in the transportation sector are examined in the conclusion.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20704 - Energy and fuels
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN
0944-1344
e-ISSN
0944-1344
Svazek periodika
30
Číslo periodika v rámci svazku
JUL 2023
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
15
Strana od-do
82372-82386
Kód UT WoS článku
001012346300028
EID výsledku v databázi Scopus
2-s2.0-85161969888