数字农业碳减排效应的机理与实证检验

Mechanisms and empirical tests of carbon emission reduction effects in digital agriculture

  • 摘要: 农业碳减排是实现碳中和的重要路径。本研究旨在探讨数字农业对农业碳排放的影响机制, 为低碳农业发展提供理论支撑。本研究选取2011—2020年中国30个省(自治区、直辖市, 不包括中国香港、澳门、台湾和西藏)的面板数据, 利用双向固定效应、中介效应以及门槛效应模型, 探索了数字农业对农业碳排放的影响及其路径机制。数字农业在降低农业碳排放方面具有显著的“减碳效应”, 且在多种稳健性检验下依然成立。在机制路径方面, 数字农业通过农地流转实现对农业碳排放的“减碳效应”。门槛模型检验发现, 当劳动力外流超过单一门槛未超过双重门槛时, 数字农业对农业碳排放的抑制作用更显著; 当农业规模化经营超过单一门槛值时, 数字农业对农业碳排放的抑制作用更显著; 当产业合理化超过单一门槛值时, 数字农业对农业碳排放的抑制作用更显著。在加快“双碳”目标实现的进程中, 促进农业碳减排应注重发挥数字农业的“数字红利”, 因地制宜发展数字农业, 探索数字农业发展新模式。

     

    Abstract: Under China’s “Dual Carbon” policy framework (carbon peak and carbon neutrality), agricultural emission reduction has emerged as a crucial pathway for achieving sustainable development and environmental sustainability. This study systematically investigates the impact mechanism of digital agriculture on agricultural carbon emissions, aiming to provide comprehensive theoretical support and policy implications for the development of low-carbon agriculture. Utilizing a provincial-level panel dataset encompassing 30 Chinese provinces (autonomous regions and municipalities, not including Hong Kong, Macao, Taiwan and Xizang of China) from 2011 to 2020, this research employs an integrated analytical framework incorporating two-way fixed effects models, mediation effect, and threshold effect models to rigorously examine the complex relationship between digital agriculture development and agricultural carbon emissions. The empirical results robustly demonstrate that digital agriculture exhibits a significant and substantial “carbon reduction effect”, effectively mitigating agricultural carbon emissions. This conclusion remains statistically significant and economically meaningful after undergoing a series of robustness tests, including alternative model specifications, data winsorization, and sample exclusion. Further mechanism analysis reveals that land transfer serves as a critical mediating pathway through which digital agriculture achieves its carbon reduction benefits, facilitating large-scale agricultural operations and technological adoption. The threshold model test found that when labor outflow is between the single threshold and the double threshold, the inhibitory effect of digital agriculture on agricultural carbon emissions is more significant. When the scale of agricultural operation exceeds the single threshold value, the inhibitory effect of digital agriculture on agricultural carbon emissions is more significant. When industrial rationalization exceeds the single threshold value, the inhibitory effect of digital agriculture on agricultural carbon emissions is more significant. These findings carry important policy implications for China’s low-carbon agricultural transition. During the critical acceleration phase toward achieving China’s Dual Carbon Goals, policymakers should prioritize fully leveraging the “digital dividend” of agricultural digital transformation. Implementation strategies should focus on creating tailored, region-specific models for digital agriculture promotion that align with local resource availability and developmental stages. Concurrently, innovative approaches must be actively investigated to enhance synergies between digital technology adoption and emission reduction initiatives. This study advances sustainable agriculture research by offering empirical evidence and analytical frameworks to assess the carbon mitigation potential of digital agriculture in developing economies. The findings provide practical insights for coordinating agricultural digitization with environmental sustainability under China’s “Dual Carbon” policy framework.

     

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