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Climate physical risks and technological innovation in the grain industry chain: an empirical analysis based on machine learning of patent texts in China

Author

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  • Gu, Xiaobing
  • Zhu, Junfeng

Abstract

Climate change-induced physical risks are permeating the entire grain industry chain (GIC), triggering systemic restructuring pressures. While global adaptive responses increasingly prioritize technological innovation as the most promising solution, empirical validation remains scarce due to measurement challenges in quantifying GIC technology innovation (GICTI). Critically, prior studies focus narrowly on single production segments, lacking a deconstruction of innovation responses across the full chain. This also leaves the linkage mechanism between climate physical risks and different innovation types still in a black box, hindering effective policy-making.

Suggested Citation

  • Gu, Xiaobing & Zhu, Junfeng, 2026. "Climate physical risks and technological innovation in the grain industry chain: an empirical analysis based on machine learning of patent texts in China," Agricultural Systems, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:agisys:v:231:y:2026:i:c:s0308521x25002471
    DOI: 10.1016/j.agsy.2025.104507
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    References listed on IDEAS

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