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The Impact of Digital Agriculture on Green Productivity in Agriculture: Evidence from China

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  • Lang Li

    (University of Shanghai for Science and Technology)

  • Xiaodong Zhu

    (University of Shanghai for Science and Technology)

Abstract

The development of digital agriculture (DIGA) is a necessary move to improve the green production efficiency of agriculture (GATFP) and a necessary way to realize the green development of agriculture. Based on the entropy value method and the super-efficient SBM model with non-expected output to measure the development level of digital agriculture and agricultural green production efficiency, respectively, the article uses the balanced panel data of 30 provinces in China from 2013 to 2021 to empirically test the mechanism of its influence through the bidirectional fixed-effect model and the mediated effect model. The study finds that DIGA has a significant contribution to the improvement of GATFP; further research through the mediation effect model finds that DIGA will contribute to the improvement of GATFP through agricultural technological innovation and production scale; and the results of the heterogeneity analysis show that the contribution of DIGA to GATFP is more obvious in the coastal area and the main grain production area.

Suggested Citation

  • Lang Li & Xiaodong Zhu, 2025. "The Impact of Digital Agriculture on Green Productivity in Agriculture: Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 13429-13453, September.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02502-x
    DOI: 10.1007/s13132-024-02502-x
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    References listed on IDEAS

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