Does balanced fertilization reduce combine harvesting loss of maize: Evidence from 24 provinces in China

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Authors: Dakuan Qiao, Yitian Jin, Yi Luo, Junfeng Zhu
Cited by: 1
References: 89

Abstract

Imbalanced fertilization not only affects yield but is a critical, yet overlooked, factor contributing to grain losses. This study utilizes microdata from 2541 farm households across 24 provinces in China to empirically analyze the nonlinear, threshold, and moderation effects, as well as the heterogeneity, of balanced fertilization (BF) on the combine harvesting loss rate of maize (CHLRM). Research findings demonstrate that the average CHLRM in China is 2.575%. The impact of BF on CHLRM is not linear; rather, it exhibits a significant and robust “U-shaped” nonlinear effect, which remains significant after addressing endogeneity. Marginal effect analysis indicates that the average marginal effects of BFI and BFI 2 on CHLRM are −0.402 and 0.131, respectively. However, this U-shaped effect is contingent upon planting scale and agricultural income. The effect is significant for households with planting scale below 24.34 mu and agricultural income shares below 40%. Additional analysis reveals that the adoption of agricultural digital technology significantly amplifies BF's U-shaped loss-reduction effect. Heterogeneity analysis indicates that the loss-reduction effect of BF is more stable in major grain-producing regions. However, this effect exhibits structural variation: BF demonstrates stronger loss reduction at high loss quantiles but becomes insignificant for farmers already at the lowest loss quantile (Q0.10). Therefore, policies should shift from singular fertilizer reduction targets to promoting precision balancing. This requires implementing tailored guidance: BFI technology should be prioritized for small-to-medium-scale and low-income farm households, while large scale and professional farmers should be supported in adopting capital substitution pathways such as advanced machinery.

Fields of Study & Subjects

Crop Yield and Soil Fertility Irrigation Practices and Water Management Smart Agriculture and AI

Publication details

Journal / source
Agricultural Systems
Publisher
Elsevier BV
Volume
233
Pages
104658–104658
Publication date
3 February 2026
Language
EN