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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Environmental Economics and Management

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1517472

This article is part of the Research Topic Advancing Carbon Reduction and Pollution Control Policies Management: Theoretical, Application, and Future Impacts View all 27 articles

Global Carbon Emission Governance and Green Trade: The Moderating Role of Political Stability and Trade Diversity

Provisionally accepted
Mengyao Guo Mengyao Guo 1Yiniu Cui Yiniu Cui 1*Zizhuo Li Zizhuo Li 1*Jingjing Wang Jingjing Wang 2*
  • 1 Yunnan University, Kunming, Yunnan Province, China
  • 2 University of Science and Technology Beijing, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    In contrast to traditional trade, green trade fully considers the social costs of production, investment, and export following economic activities, building upon environmental governance and protection.While the promotion of green trade is a historical inevitability, countries must actively foster collaboration in new trade initiatives to meet carbon reduction targets. However, during the process of encouraging the expansion of green trade, there is a risk that countries may further increase their carbon emissions, thereby exacerbating environmental degradation. This study utilizes panel data from G20 countries between 2000 and 2022 to examine the relationship between carbon emissions and green trade through an Ordinary Least Squares (OLS) regression model, with the primary objective of determining whether green trade increases or decreases carbon emissions. To further explore the moderating role of trade diversity and political stability on the relationship between carbon emissions and green trade, a moderating effect regression model is also employed.Additionally, this paper introduces a quantile regression model to assess the varying impact of green trade on carbon emissions across different quantiles. The study's findings indicate that green trade tends to result in higher carbon emissions. Under conditions of political stability, the potential for green trade to reduce carbon emissions diminishes. Conversely, the positive impact of trade diversification inhibits the positive effects of green trade on carbon emissions. The coefficient of green trade is positive and steadily increases across various quantiles of carbon emissions. At the 0.9 quantile, the association is significantly positive, offering further evidence that green trade could lead to increased carbon emissions. Based on these findings, the paper suggests that a significant reduction in carbon emissions may not be achievable in the near future, and that the path to expanding green trade is both challenging and protracted. Therefore, governments worldwide must carefully implement green trade practices, protect the environment, achieve sustainable economic growth, and promote the rational allocation of resources as prerequisites for the long-term development of the green sector.

    Keywords: Green trade, Political stability, Trade Diversification, Moderating effect regression model, Quantile regression model

    Received: 26 Oct 2024; Accepted: 25 Feb 2025.

    Copyright: © 2025 Guo, Cui, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yiniu Cui, Yunnan University, Kunming, 650500, Yunnan Province, China
    Zizhuo Li, Yunnan University, Kunming, 650500, Yunnan Province, China
    Jingjing Wang, University of Science and Technology Beijing, Beijing, 100083, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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