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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 8 - 2024 | doi: 10.3389/fsufs.2024.1454636

Can the digital economy help reduce agricultural carbon emissions? -An empirical test based on the moderated mediating effect model 1

Provisionally accepted
Xiaodong Xu Xiaodong Xu Shuo Wang Shuo Wang Xutian Qin Xutian Qin *Yufei Han Yufei Han
  • Dalian Polytechnic University, Dalian, China

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

    Considering agriculture's substantial carbon emissions, it is essential to examine how the digital economy can stimulate green innovation and low-carbon development by impacting these emissions. This article employs panel data from 31 provinces in China, covering the period from 2011 to 2020, to empirically analyze the effects of digital economy development on agricultural carbon emissions. The analysis utilizes the mediating pathway of agricultural green total factor productivity, while also considering the regulatory impact of green finance. The results indicate that: (1)Agricultural green total factor productivity has a partial mediating effect in the impact of the digital economy on agricultural carbon emissions, and green finance has a negative regulatory effect. (2)Green finance positively regulates the inhibitory effect of agricultural green total factor productivity on agricultural carbon emissions.(3)The development of the digital economy can inhibit agricultural carbon emissions, and this negative inhibitory effect follows a "U" shape. Our research offers a scientific foundation for the promotion of green and low-carbon development within Chinese agriculture, while also providing valuable references and insights for the global 1

    Keywords: digital economy, Agricultural green total factor productivity, green finance, Agricultural carbon emissions, Empirical test

    Received: 01 Jul 2024; Accepted: 11 Nov 2024.

    Copyright: © 2024 Xu, Wang, Qin and Han. 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: Xutian Qin, Dalian Polytechnic University, Dalian, 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.