The present study aims to investigate the impact of remittances on CO2 emission by incorporating financial development, economic growth, industry value added, and agriculture value added in it. This research covers the 37 years of panel data of five countries, i.e., India, the Philippines, Egypt, Pakistan, and Bangladesh, from 1980 to 2016. The data were collected from the World Bank database. The panel cointegration technique and panel autoregressive distributive lag (ARDL) model have been employed to check long-run relationships. The estimated result of the panel cointegration approach confirms the existence of a long-run relationship among remittances received, financial development, economic growth, industry value added, agriculture value added, and CO2 emission. The findings of the study indicate that an increase in received remittances, economic growth, and value-added agriculture help in mitigating carbon emissions from the selected panel countries. However, improving the financial system and adding more industries result in the high emission of CO2. On the contrary, the short-run ARDL estimation shows that CO2 emission increases at a significant level with the increase of remittances inflow and agriculture value added, while in the case of financial development, economic growth, and industry value added, this increasing effect in CO2 is at an insignificant level. Moreover, dynamic ordinary least square (DOLS) is used in this study for robust analysis and found the same long run result like ARDL. Additionally, this study also provides some important recommendations to economic policymakers to reduce CO2 emission in the selected remittance-receiving countries.
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http://dx.doi.org/10.1007/s11356-021-14412-5 | DOI Listing |
Wetlands (Wilmington)
January 2025
Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, ON Canada.
There are increasing global efforts and initiatives aiming to tackle climate change and mitigate its impacts via natural climate solutions (NCS). Wetlands have been considered effective NCS given their capacity to sequester and retain atmospheric carbon dioxide (CO) while also providing a myriad of other ecosystem functions that can assist in mitigating the impacts of climate change. However, wetlands have a dual impact on climate, influencing the atmospheric concentrations of both CO and methane (CH).
View Article and Find Full Text PDFHeliyon
January 2025
Centre for Nature Positive Solutions, School of Science, STEM College, RMIT University, Melbourne, Australia.
Seaweed aquaculture is growing 8.9 % annually to a forecast US$ 22.13 billion in 2024 and has several environmental, economic and social co-benefits.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong 999077, China.
Gases and dissolved black carbon (DBC) formed during pyrolysis of nitrogen-rich feedstock would affect atmospheric and aquatic environments. Yet, the mechanisms driving biomass gas evolution and DBC formation are poorly understood. Using thermogravimetric-Fourier transform infrared spectrometry and two-dimensional correlation spectroscopy, we correlated the temperature-dependent primary noncondensable gas release sequence (HO → CO → HCN, NH → CH → CO) with specific defunctionalization stages in the order: dehydration, decarboxylation, denitrogenation, demethylation, and decarbonylation.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Geology and Mineral Science, Kwara State University, Malete, P.M.B. 1530, Ilorin, Kwara State, Nigeria.
Human-induced global warming, primarily attributed to the rise in atmospheric CO, poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO emissions, which are crucial for setting long-term emission mitigation targets, the precise prediction of daily CO emissions is equally vital for setting short-term targets. This study examines the performance of 14 models in predicting daily CO emissions data from 1/1/2022 to 30/9/2023 across the top four polluting regions (China, India, the USA, and the EU27&UK).
View Article and Find Full Text PDFEnviron Res
January 2025
Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, P.R. China.
Hydrodynamic conditions influenced by river sinuosity may alter carbon (e.g., carbon dioxide and methane) emissions and microbial communities responsible for nutrient turnover.
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