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Mehmood U, Tariq S, Aslam MU, Agyekum EB, Uhunamure SE, Shale K, Kamal M, Khan MF. Evaluating the impact of digitalization, renewable energy use, and technological innovation on load capacity factor in G8 nations. Sci Rep 2023; 13:9131. [PMID: 37277449 DOI: 10.1038/s41598-023-36373-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023] Open
Abstract
Ecosystems are in danger due to human-caused air, water, and soil pollution, so it is important to find the underlying causes of this issue and develop practical solutions. This study adds to environmental research gap by suggesting the load capability factor (LCF) and using it to look at the factors affectting environmental health. The load capacity factor simplifies monitoring environmental health by illustrating the distinction between ecological footprint and biocapacity. We examine the interplay between mobile phone users (Digitalization DIG), technological advancements (TEC), renewable energy use, economic growth, and financial development. This study assesses G8 economies' data from 1990 to 2018, using a Cross-Section Improved Autoregressive Distributed Lag CS-ARDL estimator and a cointegration test. The data shows that green energy, TEC innovation, and DIG are all beneficial for natural health. Based on the results of this study, the G8 governments should focus on environmental policies that promote economic growth, increase the use of renewable energy sources, guide technological progress in key areas, and encourage the development of digital information and communications technologies that are better for the environment.
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Affiliation(s)
- Usman Mehmood
- Remote Sensing GIS and Climatic Research Lab National Center of GIS and Space Applications, University of the Punjab, Lahore, Pakistan
- Department of Political Science, University of Management and Technology, Lahore, Pakistan
| | - Salman Tariq
- Remote Sensing GIS and Climatic Research Lab National Center of GIS and Space Applications, University of the Punjab, Lahore, Pakistan
- Department of Space Science, University of the Punjab, Lahore, Pakistan
| | - Muhammad Umar Aslam
- Remote Sensing GIS and Climatic Research Lab National Center of GIS and Space Applications, University of the Punjab, Lahore, Pakistan
| | - Ephraim Bonah Agyekum
- Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris Yeltsin, 19 Mira Street, Ekaterinburg, 620002, Russia
| | - Solomon Eghosa Uhunamure
- Faculty of Applied Sciences, Cape Peninsula University of Technology, P. O. Box 652, Cape Town, 8000, South Africa.
| | - Karabo Shale
- Faculty of Applied Sciences, Cape Peninsula University of Technology, P. O. Box 652, Cape Town, 8000, South Africa
| | - Mustafa Kamal
- Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Dammam, 32256, Saudi Arabia
| | - Muhammad Faisal Khan
- Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh, 11673, Saudi Arabia
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Smaili SM, Gam I. Dynamic effect of exchange rate depreciation on carbon emission in the Mediterranean basin: fresh insights from linear and non-linear ARDL approaches. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:59481-59498. [PMID: 37010683 DOI: 10.1007/s11356-023-26674-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 03/23/2023] [Indexed: 05/10/2023]
Abstract
The key objective of this study is to explore the relationship between economic growth, renewable and non-renewable energy consumption, exchange rate variation, and environmental pollution by carbon dioxide (CO2) emissions in 19 coastline Mediterranean countries over the period 1995-2020. We suggest the application of two different approaches, namely, the symmetric autoregressive-distributed lag (ARDL) and the non-linear ARDL (NARDL) model. These methods distinguished from traditional ones by the fact that they assess both the long and short run dynamics among variables. More importantly, the NARDL method is the only technique enabling us to test the asymmetric effects of a shock in independent variables on dependent ones. Our results indicate that the long-term pollution is positively correlated with exchange rate for developed countries and negatively correlated for developing ones. Since environmental degradation in developing countries is more vulnerable to any fluctuation in exchange rate, we suggest that policymakers in Mediterranean developing countries must pay more attention to exchange rate variation as well as boosting renewable energy consumption in order to decrease CO2 emissions.
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Affiliation(s)
- Sarra Majoul Smaili
- LAREQUAD Laboratory, FSEGT Tunis, University of Tunis El Manar, Tunis, Tunisia
- UTC Tunis, University of Tunis Carthage, Tunis, Tunisia
| | - Imen Gam
- QUARG Laboratory, ESCT Tunis, University of Manouba, Manouba, Tunisia.
- ISAAS Sfax, University of Sfax, Sfax, Tunisia.
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Omri A, Kahouli B, Kahia M. Impacts of health expenditures and environmental degradation on health status—Disability-adjusted life years and infant mortality. Front Public Health 2023; 11:1118501. [PMID: 37056662 PMCID: PMC10086125 DOI: 10.3389/fpubh.2023.1118501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/02/2023] [Indexed: 03/30/2023] Open
Abstract
IntroductionHuman health and well-being are intimately related to environmental quality. In this respect, the present study contributes to the existing health economic literature by examining whether public and private health expenditures (PPHE) moderate the incidences of environmental degradation on the health status in Saudi Arabia, particularly disability-adjusted life years (DALYs) and infant mortality.MethodsUsing the fully modified ordinary least squares (FMOLS) method.Results and DiscussionThe empirical results revealed that (i) unconditional positive impacts of CO2 emissions on increasing DALYs and infant mortality; (ii) conditional negative impacts of public health expenditures on DALYs and infant mortality in all the estimated models, whereas global and private expenditure contribute only on reducing infant mortality; (iii) public health expenditure is more effective than private health expenditure in reducing infant mortality; (iv) the effects of the interactions between the indicators of both health expenditures and CO2 emissions on DALYs and infant mortality are negative and significant only for the specifications relating to public health expenditures, indicating that this later could be employed as a policy or conditional variable that moderates the adverse impacts of carbon emissions on the population’s health status. Generally, the study presents an overview of environmental health change’s effects and examine how these effects may be reduced through increasing health spending. The study provides recommendations for addressing health status, health expenditures, and carbon emissions, all of which are directly or indirectly linked to the study.
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Affiliation(s)
- Anis Omri
- Department of Business Administration, College of Business and Economics, Qassim University, Buraidah, Saudi Arabia
| | - Bassem Kahouli
- Community College, University of Ha’il, Ha’il, Saudi Arabia
- *Correspondence: Bassem Kahouli,
| | - Montassar Kahia
- Department of Finance and Economics, College of Business and Economics, Qassim University, Buraidah, Saudi Arabia
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