Digital agriculture’s impact on carbon dioxide emissions varies with the economic development of Chinese provinces

• Published in: Communications earth & environment Vol. 5; no. 1; pp. 621 - 11
• Main Authors: Ma, Mingguo, Li, Jiafen, Song, Jianfeng, Chen, Xiaonan
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.10.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 4014/4005; 704/844/682; Agricultural development; Agricultural technology; Agriculture; Agrochemicals; Carbon dioxide; Carbon dioxide emissions; Digital agriculture; Digital technology; Earth and Environmental Science; Earth Sciences; Economic development; Emissions; Empowerment; Environment; Fertilizers; Social factors; China
• ISSN: 2662-4435; 2662-4435
• DOI: 10.1038/s43247-024-01786-w

Digital empowerment is a dynamic process of complementary digital technology and production factors and plays a critical role in achieving the dual carbon objectives of the carbon peak by 2030 and carbon neutrality by 2060. Here, we use the input-output method, employing panel data on environmental and social factors from 30 provincial-level regions in China from 2012 to 2021. We explore the impact of digital empowerment development on agricultural carbon dioxide emissions and underlying mechanisms. We found that the relationship between digital empowerment and carbon dioxide emissions is nonlinear and follows an inverted U-curve. The carbon dioxide emissions increase as digital empowerment increases and decrease when digital empowerment crosses the inflection point of 0.0862. Digital empowerment reduces agricultural carbon emissions by optimizing carbon-intensive factor inputs such as fertilizers and improving factor allocation efficiency. Our research provides evidence for policymakers to enable the promotion of digital empowerment of farmers across Chinese provinces. In China, the use of digital technology in agriculture increased from 2012 to 2021, and carbon dioxide emissions initially increased and then decreased due to lower and more efficient fertilizer and fuel use, according to an analysis combining the input-output method and social and environmental data.