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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1424076

Assessing the Impact of Carbon Mitigation Strategies on Agricultural GHG Emissions: Insights from a Dynamic CGE Model Analysis

Provisionally accepted
Zeyu Gong Zeyu Gong Xuexi Huo Xuexi Huo *
  • Northwest A&F University, Xianyang, China

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

    The selection of effective carbon reduction strategies and the management of agricultural greenhouse gas (GHG) emissions are critical issues in climate change mitigation. Different climate actions can lead to varied pathways for agricultural GHG emissions. This study constructs a Computable General Equilibrium (CGE) model for Chinese agriculture to identify which measures can contribute to achieving established climate governance objectives, exploring potential net emission pathways for agricultural GHG. On this basis, we provide a rationale for selecting emission reduction measures. Our findings indicate that: (1) Carbon taxation is an indispensable climate action for achieving China's 'dual carbon' goals and net-zero emissions, necessitating combination with other mitigation strategies; (2) Carbon sequestration, non-agricultural carbon taxation, and CCUS measures can alter the net emission trajectory of agricultural GHG, and carbon sequestration shows the most significant impact; (3) Based on the 'dual carbon' or net-zero emission goals, China's agricultural GHG emission pathway might exhibit a flat M-shaped characteristic, whereas intensifying carbon sequestration efforts could lead to an inverted V-shaped trajectory. Our results offer decision-making support for the formulation of GHG emission reduction measures in China.

    Keywords: Carbon reduction strategies, Agricultural GHG emissions, Computable general equilibrium (CGE) model, Dual Carbon Goals, Net-zero emission targets

    Received: 27 Apr 2024; Accepted: 02 Dec 2024.

    Copyright: © 2024 Gong and Huo. 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: Xuexi Huo, Northwest A&F University, Xianyang, 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.