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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.
Sec. Climate-Smart Food Systems
Volume 8 - 2024 | doi: 10.3389/fsufs.2024.1492883

Greening agriculture as a response to climate change: A case study from China over 2000-2021

Provisionally accepted
  • 1 Peking University, Beijing, China
  • 2 National School of Development, Faculty of Economics and Management, Peking University, Beijing, Beijing Municipality, China

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

    Green agriculture is critical for tackling climate change by ensuring carbon neutrality and food security. This article assesses green agriculture as a response to climate change through green efficiency and the underlying mechanisms of green agricultural development in China's Qinghai Province from 2000 to 2021. It employs a non-radial and non-oriented DEA model, super Slacks-Based Measure, to gauge green efficiency. The Logarithmic Mean Divisia Index decomposition model and the Tapio decoupling model are utilized to further analyze the influencing factors and trends in greening the agriculture. Field research has been conducted to gain a holistic understanding of the intricate factors steering sustainable agriculture. The study reveals that Qinghai's journey in greening agriculture is marked by distinct stages: stabilization (2000-2008), deterioration (2009-2016), recovery (2017-2019), and efficient stage (2020-2021). Notably, shifts in policies and input structures have influenced the green efficiency in agricultural production. The province has largely retained strong decoupling since 2012, indicating the effectiveness of sustainable practices in mitigating the detrimental impacts of intensive farming. The study also identifies economic growth as the primary factor negatively impacting green efficiency, followed by energy intensity, carbon intensity, and population scale. Finally, the study outlines policy insights for greening agriculture.

    Keywords: Green Agriculture, Climate Change, carbon neutrality, policy, Green efficiency

    Received: 08 Sep 2024; Accepted: 18 Nov 2024.

    Copyright: © 2024 Niangjijia. 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: Nyangchak Niangjijia, Peking University, Beijing, 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.