| Autor: |
Kamran HW; Department of Business Administration, Iqra University, Karachi, Pakistan., Rafiq M; Faculty of Information Technology, The University of Lahore, Lahore Campus, Pakistan., Abudaqa A; School of Distance Education, Universiti Sains Malaysia, Pulau Penang, Malaysia., Amin A; School of Economics, Hainan University, Haikou, People's Republic of China.; Institute of Energy Policy and Research, Universiti Tenaga Nasional, Kajang, Malaysia. |
| Jazyk: |
angličtina |
| Zdroj: |
Environmental technology [Environ Technol] 2024 Jul; Vol. 45 (17), pp. 3439-3455. Date of Electronic Publication: 2023 Jun 11. |
| DOI: |
10.1080/09593330.2023.2216903 |
| Abstrakt: |
ABSTRACT This research examines the trends in environmental footprints through energy innovations, digital trade, economic freedom, and environmental regulation from the context of G7 economies. Quarterly observations from 1998-2020 have been utilized for the advanced-panel model entitled Method of Moments Quantile Regression (MMQR). The initial findings confirm slope heterogeneity, interdependence between the cross-sectional units, stationarity properties, and panel cointegration. The results through FM-OLS, D-OLS, and FE-OLS justify that energy innovations, digital trade, and environmental regulations control ecological damages. In contrast, economic freedom and growth are causing more damage to nature, like ecological footprints (EFP). Similarly, the results through MMQR confirm that the impact of energy innovations, digital trade, and environmental regulations is accepted as a panacea to control environmental degradation in G7. However, the magnitude of the coefficient varies across different quantiles. More specifically, the findings show that the impact of energy innovations is highly significant at 0.50th quantile. In contrast, through digital trade, the impact on EFP is only significant under medium and higher order quantiles (i.e. 0.50th, 0.75th-1.0th). Contrarily, economic freedom is causing more EFP across all the quantiles, where the findings are highly significant at 0.75th quantile. Besides, a few other policy implications are also discussed. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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