Unveiling the influence of agricultural mechanization on greenhouse gas emission intensity: Insights from China using causal machine learning model

Lulu Wang, Jie Lyu, Shanshan Wang and Junyan Zhang

Agricultural Systems, 2025, vol. 226, issue C

Abstract: The ongoing agricultural mechanization in China contributes considerably to increased efficiency and productivity. However, its mitigation potential of greenhouse gas emissions intensity (GHGI) and underlying mechanisms are still unclear. Debate regarding the influence of agricultural mechanization on GHGI is gaining significance to guarantee that agricultural modernization corresponds with sustainable development goals.

Keywords: Agricultural mechanization; Greenhouse gas emission intensity; Double machine learning; Life cycle assessment (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:226:y:2025:i:c:s0308521x25000472

DOI: 10.1016/j.agsy.2025.104307

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