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Empowering Sustainable Farming: Harnessing Digital Technology for Green and Low-Carbon Agricultural Practices

Author

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  • Yanju Song

    (School of Business Administration, Liaoning Technical University, Huludao 125105, China)

  • Min Liu

    (School of Business Administration, Liaoning Technical University, Huludao 125105, China)

Abstract

Agricultural digitization is crucial for enhancing agricultural productivity and efficiency and promoting green low-carbon development. Based on the provincial panel data of China from 2012 to 2021, this study employs the entropy value method and the GML index based on SBM-DDF to quantify agricultural digitization and agricultural green total factor productivity. It utilizes two-way fixed effects, group regression, and threshold effect models to examine the influence of agricultural digitization in agriculture on the green and carbon-reduction progression of farming practices, as well as to clarify the underlying mechanisms behind these effects. The study finds that agricultural digitalization significantly promotes agricultural green low-carbon development. Green innovation and scale operation mediate the impact path of agricultural digitalization, and there is a threshold effect of digital financial inclusion. Moreover, agricultural digitization has a significant impact on the eastern region and a smaller impact on the central and western areas, and the effect is better in regions with high levels of innovation. The results of the study provide a scientific basis for the synergizing of agricultural digitization and agricultural development that is green and low-carbon, as well as for the construction of relevant subjects for interest cooperation and sharing mechanisms.

Suggested Citation

  • Yanju Song & Min Liu, 2025. "Empowering Sustainable Farming: Harnessing Digital Technology for Green and Low-Carbon Agricultural Practices," Sustainability, MDPI, vol. 17(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1617-:d:1592040
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    References listed on IDEAS

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    Cited by:

    1. Zhiyuan Zhou & Peng Lin & Tianqi Gao & Congjie Tan & Kai Wei & Liangzhu Yan, 2025. "Lotka–Volterra Dynamics and Sustainable Regulation of Agroecosystems: Coupled Framework of Monte Carlo Simulation and Multi-Objective Optimisation," Sustainability, MDPI, vol. 17(10), pages 1-25, May.
    2. Zewen Chen & Guoda Bi & Haihong Guo, 2025. "The Effect of the Level of Digital Agriculture Development on Agricultural Carbon Emission Reduction in China: Mediating Evidence Based on Agricultural Labor Productivity and Production Technical Effi," Sustainability, MDPI, vol. 17(17), pages 1-27, August.

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