Green Bonds for a Greener Tomorrow: Evaluating G20 Strategies in Emission Reduction and Sustainable Development
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Aditi SARAWAGI Department of Commerce, Faculty of Commerce and Management , Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India
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Amit GUPTA Department of Commerce, Faculty of Commerce and Management, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India
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Moirangthem Sanjoy SINGH Department of Commerce, Faculty of Commerce and Management, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India
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Shailendra SINGH BHADOURIA Department of Commerce, Faculty of Commerce and Management, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India
This study examines the green finance strategies of G20 economies, with a particular focus on green bond issuance and its impact on greenhouse gas (GHG) emissions. Utilizing secondary data from the Statista database and the Emissions Database for Global Atmospheric Research, the analysis employs percentage evaluation, simple linear regression, heat maps, and cluster analysis. A Python-based algorithm in Jupyter Notebook facilitates the data processing.
Findings indicate that China leads in both green bond issuance and GHG emissions, followed by the United States. Regression analysis confirms that green bonds contribute to reducing GHG emissions. Notably, developed and developing countries exhibit similar patterns in green bond issuance and emissions, suggesting that these variables are not necessarily aligned with their respective development levels.
This research offers a wide assessment of the interplay between green bond issuance and environmental sustainability among G20 economies, highlighting the potential of green finance in fostering sustainable and inclusive growth. The findings provide insights into areas for improvement and policy recommendations for G20 nations to enhance their green financing strategies, increase green bond issuance, and reduce emissions in pursuit of global sustainability goals.
Copyright© 2025 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
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