The Impact of Oil Price on Carbon Dioxide Emissions in the Transport Sector: The Threshold Effect of Environmental Policy Stringency DOI Creative Commons
Xingong Ding, Mengzhen Wang

Energies, Год журнала: 2024, Номер 17(17), С. 4496 - 4496

Опубликована: Сен. 7, 2024

Carbon dioxide emissions from the transport sector make a significant contribution to global greenhouse gases, and understanding factors that influence these is beneficial for devising effective emission reduction policies. Oil prices are an important influencing factor since fuel used in primarily based on oil, fluctuations oil directly impact sector’s CO2 emissions. Additionally, environmental policies, as key means of controlling emissions, can affect relationship between sector. Therefore, this study aims examine explore nonlinear role policy stringency relationship. Based data 27 OECD member countries 6 non-member 1990 2019, we index threshold variable construct panel regression model. The analysis results indicate double-threshold effect: when low, not significant. However, reaches first threshold, significantly increases; upon reaching second effect further intensified. This paper also analyzes three subindicators—market-based non-market-based technology support policies—to clarify distinct mechanisms different types Finally, research findings, propose recommendations achieve carbon targets

Язык: Английский

How government green fund reduce corporate carbon emissions DOI
Xueqin Li,

Zhuoji Zheng,

Daqian Shi

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124999 - 124999

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Financial inclusion, environmental technology, and sustainable environment in China: evidence from an N-shaped EKC DOI Creative Commons
Wei Sun, Li Qiang, Ijaz Uddin

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Май 23, 2025

Financial inclusion (FI) and technological innovation (TI) are pivotal in advancing SDG 13 (Climate Action) by enabling access to sustainable solutions promoting low-carbon technologies. FI allows marginalized communities businesses invest renewable energy (RE) energy-efficient technologies, while TI drives the development of clean CO 2 emissions (CO E) reducing innovations. Together, they empower societies take significant action against climate change, fostering a global transition economy helping achieve targets 13. Previous studies have focused exclusively on impact either or E China under N-shaped Environmental Kuznets Curve (EKC). To address this gap, current study examines combined effects within EKC framework for Chinese economy. This utilizes Autoregressive Distributed lag (ARDL), fully Modified ordinary least square (FMOLS), Dynamic (DOLS) methods using time series quarterly data from 2006Q1 2022Q4. The ARDL long-run short-run results confirm that there is an inverted between GDP E. While FI, TI, RE negative has several policy recommendations policymakers promote environmental sustainability China.

Язык: Английский

Процитировано

0
Energy Transition, Institutional Quality, and Financial Development in Africa DOI
Nidhaleddine Ben Cheikh, Younes Ben Zaied,

F.F. Mahmoud

и другие.

Research in International Business and Finance, Год журнала: 2024, Номер unknown, С. 102666 - 102666

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

1
The Impact of Oil Price on Carbon Dioxide Emissions in the Transport Sector: The Threshold Effect of Environmental Policy Stringency DOI Creative Commons
Xingong Ding, Mengzhen Wang

Energies, Год журнала: 2024, Номер 17(17), С. 4496 - 4496

Опубликована: Сен. 7, 2024

Carbon dioxide emissions from the transport sector make a significant contribution to global greenhouse gases, and understanding factors that influence these is beneficial for devising effective emission reduction policies. Oil prices are an important influencing factor since fuel used in primarily based on oil, fluctuations oil directly impact sector’s CO2 emissions. Additionally, environmental policies, as key means of controlling emissions, can affect relationship between sector. Therefore, this study aims examine explore nonlinear role policy stringency relationship. Based data 27 OECD member countries 6 non-member 1990 2019, we index threshold variable construct panel regression model. The analysis results indicate double-threshold effect: when low, not significant. However, reaches first threshold, significantly increases; upon reaching second effect further intensified. This paper also analyzes three subindicators—market-based non-market-based technology support policies—to clarify distinct mechanisms different types Finally, research findings, propose recommendations achieve carbon targets

Язык: Английский

Процитировано

0