ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Interdisciplinary Climate Studies
Volume 13 - 2025 | doi: 10.3389/feart.2025.1618999
This article is part of the Research TopicStrategies for Pollution Mitigation and Climate Resilience: Advancing SDGs through Environmental InnovationView all 3 articles
Achieving sustainable green agriculture: Analyze the enabling role of data elements in agricultural carbon reduction
Provisionally accepted
- 1Southwest University of Political Science & Law, Chongqing, Chongqing, China
- 2Institute of Quantitative Economics，Huaqiao University, Xiamen, China
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Restraining agricultural carbon emissions (ACE) is an important part of promoting the green development of agriculture. Based on the empirical data of 30 provinces in China from 2012 to 2022, this paper explores the relationship between data elements (DE) and agricultural carbon emissions and analyzes the mediating effects of financial technology (FT) and land utilization ratio (LUR). The results show that data elements significantly inhibit the generation of agricultural carbon emissions, in which financial technology and land utilization ratio play an obvious intermediary role in the impact of data elements on agricultural carbon emissions. In addition, data elements have a more significant inhibitory effect on agricultural carbon emissions in western regions, major grain-producing areas, and major grain-selling areas. The study suggests that local governments should improve the application level of data elements, optimize the traditional agricultural industry with digital technology, deepen the reform of industrial green development, and optimize the allocation of human resources, to achieve the goal of agricultural green emission reduction and sustainable development of agriculture.
Keywords: Data elements, Agricultural carbon emissions, Financial technology, Land utilization, Green emission reduction
Received: 27 Apr 2025; Accepted: 11 Jul 2025.
Copyright: © 2025 SHI, Zhao, Du, Tao, Lei, Xu and Shen. 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:
Ming Xu, Southwest University of Political Science & Law, Chongqing, 400031, Chongqing, China
Yang Shen, Institute of Quantitative Economics，Huaqiao University, Xiamen, China
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