The vast utilisation of energy sources in promoting economic growth has been identified as the major cause of environmental degradation (through carbon emission). Therefore, the efficient utilisation of energy ensuring the minimisation of any wastages is vital in reducing environmental degradation. The current research aims to investigate the importance of energy efficiency, forest resources, and renewable energy in reducing environmental degradation. The major novelty of the research is that it seeks to investigate the impact of forest resources and energy efficiency on carbon emissions. Literature shows that there is still a dearth on the association of forest resources and energy efficiency, with carbon emissions. We employ data of the European Union countries for the time frame ranging from 1990 to 2020. The CS-ARDL technique depicts that raising GDP by 1% raises carbon emissions by 5.62% in the short run and 2.93% in the long run, raising renewable energy by 1 unit reduces carbon emissions by 0.098 and 0.03 units in the short and long run, respectively, whilst raising energy efficiency by 1% reduces carbon emissions by 6.29% and 3.29% in the short and long run, respectively. The Fixed Effect and Random Effect tools support the outcomes of the CS-ARDL tool on the negative effect of renewable energy and energy efficiency, and the positive effect of GDP on carbon emissions, and also depict that raising non-renewable energy by a single unit raises carbon emissions by 0.07 and 0.08 units, respectively. Forest resources, in this present research, do not significantly impact the emissions of carbon amongst the European nations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11356-023-28434-8 | DOI Listing |
J Environ Manage
December 2024
College of Management, Shenzhen University, Shenzhen 518073, China; Center for Marine Development,Macau University of Science and Technology, Macao, 999078, China; Shenzhen International Maritime Institute, Shenzhen 518081, China. Electronic address:
Ships generate large amounts of air pollutants, including nitrogen dioxide (NO) that profoundly impacts air quality and poses serious threats to human health. It is crucial to understand the dynamics and drivers of ship-induced NO concentrations in China to support the prevention and control of fine particulate matter (PM) and ozone (O) pollution. This study built Generalized Additive Models (GAMs) to reveal the nonlinear effects of meteorological factors and ship emissions on ship-induced NO concentrations based on the Tropospheric Monitoring Instrument (TROPOMI) satellite data, AIS based emission model and meteorological data.
View Article and Find Full Text PDFJ Environ Manage
December 2024
College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Microbially mediated anaerobic oxidation of methane (AOM) regulates methane (CH) fluxes. Increases in the global atmospheric carbon dioxide (CO) concentration and iron oxide rich in paddy soils influence AOM. However, the response and mechanisms between these two processes and AOM remain unclear.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Management, Wuhan University of Technology, 430070, Wuhan, China.
The global situation of carbon reduction is very severe, and the coupling of digital and green technology innovation is one of the most significant approaches to promoting regional low-carbon transformation. A coupling evaluation model is employed to assess the coupling index between digital technology innovation and green technology innovation in China's 30 provinces from 2011 to 2021. The STIRPAT model is used to examine the impact of the increasing coupling index on carbon emissions, as well as its spatial effects, and heterogeneity.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Economics and Management, North China Electric Power University, Beijing, 102206, China.
As an emerging economic form, the digital economy has become a new driving force for high-quality economic development. It plays a significant role in achieving carbon neutrality goals by promoting technological progress. This paper constructs a general equilibrium model to reveal the impact of the digital economy on carbon emissions from the perspective of biased technological progress.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China.
CO sequestration technologies (CSTs) allow for increased CO emissions without exceeding a chosen temperature limit by creating additional carbon budgets. While these CO sequestration technologies offer low-cost routes to net-zero emissions, namely, the CST benefits, they impede progress to the Sustainable Development Goals, namely, the CST disbenefits. Focusing on China, we assess both the CST disbenefits and benefits in the climate-energy-air-health cascade by an integrated modeling framework.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!