
Amid rising environmental challenges, G7 countries face mounting pressure to meet carbon neutrality targets. Fiscal policies, shaping both economic and environmental outcomes, are key to addressing these challenges. This study examines the joint impact of environmental taxes (ET) and public environment-related R&D (PERD) on the Load Capacity Factor (LCF) in G7 nations from 1994 to 2018. Using Method of Moments Quantile Regression (MMQR), results show that ET consistently improves LCF across all quantiles, supporting SDG-12 and SDG-13 by promoting behavioral change and industrial innovation. PERD, while less impactful at lower levels of sustainability, becomes increasingly effective in higher LCF quantiles—highlighting the importance of targeted R&D investments in renewable energy, sustainable agriculture, and carbon capture, aligned with SDG-7 and SDG-9. The GDP–LCF relationship confirms the Load Capacity Curve (LCC) hypothesis, while green innovation (GI) positively influences sustainability. Robustness checks (FMOLS, DOLS, CCR) confirm findings. The study calls for integrating revenue- and expenditure-based fiscal tools into unified sustainability strategies.
Accounting. Bookkeeping, environmental policy, HF5601-5689, public environment-related r&d expenditures, environmental sustainability, environmental taxes, mmqr
Accounting. Bookkeeping, environmental policy, HF5601-5689, public environment-related r&d expenditures, environmental sustainability, environmental taxes, mmqr
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
