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February 19, 2026Natural Resource Modeling2 citationsOpen Access

The Path to Effective Resource Management: Exploring the Impact of Eco‐Friendly Innovations, Clean Energy Transition, Economic Development and Trade in G‐7 Countries

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ÖBÖmer Faruk BiçenMÇMustafa Necati Çoban

Key Points

  • The research aims to explore the factors influencing effective resource management in G-7 countries.
  • Utilized the Method of Moments Quantile Regression (MMQR) for analysis.
  • Analyzed yearly data from 1990 to 2019 for G-7 countries.
  • Assessed the impact of eco-friendly innovations, clean energy transition, economic development, and trade.
  • Eco-friendly technologies significantly reduce the material footprint at quantile levels 0.1-0.7.
  • Clean energy transitions are also effective in decreasing material footprints at all quantile levels.
  • Economic development correlates with increased material footprints, with significant findings across all quantiles.
  • Trade contributes to the rise in material footprints, showing statistical significance at quantile levels 0.5-0.9.

Abstract

ABSTRACT As one of the international economic organizations, the G‐7 countries are composed of the world's leading industrialized countries. In addition, the role of the G‐7 countries in global warming is another issue that is constantly debated. Concerns have been raised about these very wealthy nations' capacity to manage their resources sustainably. Examining the factors that contribute to efficient resource management in these nations has grown in significance. The goal of this research is to look at how eco‐friendly innovations, clean energy transition, economic development, and trade affect effective resource management in the G‐7 nations. The material footprint is used as a gauge for efficient resource management. The Method of Moments Quantile Regression (MMQR) approach, which is a novel method, was used in this research to examine the G‐7 nations' yearly data for the years 1990–2019. Eco‐friendly technologies lower the material footprint in the G‐7 nations, according to MMQR findings. Results are statistically significant for the majority of quantile levels (0.1–0.7). Clean energy transition also reduces the material footprint of the G‐7 countries, with statistically significant results at all quantile levels. Economic development increases the material footprints of G‐7 countries; findings are statistically significant at all quantile levels. The material footprint is consequently increased by trade, and the results are statistically significant at various quantile levels (0.5–0.9). Additionally, the research tests robustness using other panel estimators and achieves similar findings. Lastly, the paper offers policy suggestions for G‐7 nations' efficient resource management.

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Cite This Study

Biçen et al. (2026) studied this question.

synapsesocial.com/papers/6996a8b5ecb39a600b3efbf9https://doi.org/10.1111/nrm.70028
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