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ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 12 - 2024 |
doi: 10.3389/fenvs.2024.1492454
This article is part of the Research Topic Advancing Carbon Reduction and Pollution Control Policies Management: Theoretical, Application, and Future Impacts View all 6 articles
The impact of digital rural construction on agricultural carbon emission intensity
Provisionally accepted- 1 Jiangxi Agricultural University, Nanchang, China
- 2 Shandong Institute of Petroleum and Chemical Technology, dongying, China
Reducing agricultural carbon emissions is critical to achieving green agricultural development and the "dual carbon" goals. The present study conducts empirical analysis using provincial panel data from 29 provinces in China from 2011 to 2022 combined with econometric models based on the mechanism of the impact of digital rural construction on agricultural carbon emission intensity. The entropy method and carbon emission factor method are used to determine the level of digital rural construction and agricultural carbon emission intensity. The fixed effect and intermediary effect models are used to empirically analyze the impact of digital rural construction on agricultural carbon emission intensity. The results indicate that (1) digital rural construction significantly inhibits agricultural carbon emission intensity, and there are differences in different regions and dimensions of digital rural construction; (2) the construction of digital rural areas can indirectly reduce the intensity of agricultural carbon emissions by promoting the level of rural human capital ; (3) financial support for agriculture played significant positive regulatory effect. The policy recommendations are proposed to provide a reference for promoting agricultural carbon reduction and digital rural construction in other countries.
Keywords: digital rural construction, Agricultural carbon emission intensity, Human Capital, Financial support for agriculture, impact
Received: 06 Sep 2024; Accepted: 11 Nov 2024.
Copyright: © 2024 Li, Guo, Tang and Zhang. 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:
Jinyong Guo, Jiangxi Agricultural University, Nanchang, China
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