School of Economics and Management, Zhejiang Normal University, Jinhua, 321004, China.
Institute of Urban Development Research, Zhejiang Normal University, Jinhua, 321004, China.
Environ Sci Pollut Res Int. 2024 Jan;31(3):4478-4499. doi: 10.1007/s11356-023-31369-9. Epub 2023 Dec 16.
China's traditional agriculture has grown quickly but at the cost of excessive pollution and energy consumption. Therefore, low-carbon development in agriculture is crucial to achieving "carbon neutrality" and "carbon peaking." With the development of China's digital economy and the construction of digital villages in recent years, digital technology innovation (DTI) is probably going to a significant role in lowering agricultural carbon emissions (ACEs). Based on Chinese provincial panel data from 2006 to 2021, we analyze the spatial and temporal evolution characteristics of DTI and ACE, explore the impact and the pathways of DTI on ACE using a spatial econometric model, and reveal this impact's heterogeneity and nonlinear character. The findings show that DTI and ACE increased significantly throughout all Chinese provinces. DTI agglomeration is becoming stronger, whereas ACE displays a tendency for discontinuous distribution. DTI is essential in promoting low-carbon development in agriculture, and there are significant spatial spillover effects due to technology spillovers. Heterogeneity analysis indicates that DTI has positive impacts on local agriculture in different regions. However, there is variation in the impact's degree. The mechanism test's findings show how DTI reduces ACE by improving technology and enhancing resource endowment. The relationship between DTI and ACE exhibits an inverted "U" curve, and the level of economic development is the threshold variable that constrains the relationship between the two variables. To achieve a regional balanced low-carbon development in agriculture through DTI, it is important to emphasize the impact of DTI on reducing carbon emissions and to encourage the transfer of mature technology from high-level regions to low-level regions.
中国传统农业发展迅速，但代价是过度污染和能源消耗。因此，农业低碳发展对于实现“碳中和”和“碳达峰”至关重要。近年来，随着中国数字经济的发展和数字乡村的建设，数字技术创新（DTI）可能在降低农业碳排放（ACEs）方面发挥重要作用。基于中国 2006 年至 2021 年的省级面板数据，我们分析了 DTI 和 ACE 的时空演变特征，利用空间计量模型探讨了 DTI 对 ACE 的影响和途径，并揭示了这种影响的异质性和非线性特征。研究结果表明，中国各省的 DTI 和 ACE 均呈显著增长态势。DTI 集聚程度不断增强，而 ACE 呈现出不连续分布的趋势。DTI 对农业低碳发展至关重要，且存在技术溢出的显著空间溢出效应。异质性分析表明，DTI 对不同地区的本地农业具有积极影响，但影响程度存在差异。机制测试的结果表明，DTI 通过提高技术水平和增强资源禀赋来降低 ACE。DTI 和 ACE 之间的关系呈倒“U”型曲线，经济发展水平是制约两者关系的门槛变量。为了通过 DTI 实现农业区域均衡低碳发展，需要强调 DTI 对减排的影响，并鼓励成熟技术从高水平地区向低水平地区转移。
