Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Journal of Turkish C...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Journal of Turkish Court of Accounts
Article . 2025 . Peer-reviewed
Data sources: Crossref
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

FISCAL INSTRUMENTS FOR ENVIRONMENTAL SUSTAINABILITY: QUANTILE ANALYSIS OF ENVIRONMENTAL TAXES AND R&D IN G7 ECONOMIES

Authors: Abdulkadir Bulut;

FISCAL INSTRUMENTS FOR ENVIRONMENTAL SUSTAINABILITY: QUANTILE ANALYSIS OF ENVIRONMENTAL TAXES AND R&D IN G7 ECONOMIES

Abstract

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.

Related Organizations
Keywords

Accounting. Bookkeeping, environmental policy, HF5601-5689, public environment-related r&d expenditures, environmental sustainability, environmental taxes, mmqr

  • BIP!
    Impact byBIP!
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold