Farmers’ adoption of smart agricultural technologies for black soil conservation and utilization in China: the driving factors and its mechanism

Smart agriculture can mitigate the degradation of black soil organic matter to ensure global food security and promote sustainable agricultural development. However, the adoption of smart agricultural technology for black soil conservation and utilization is poorly understood. This study analyzes the influence mechanisms affecting farmers’ adoption intentions of one such technology, variable fertilization. We develop a structural equation model by combining the Technology Acceptance Model (TAM), Perceived Value Theory (PVT), and external factors with data from 354 farmers in Youyi State farm in the Sanjiang Plain Area, China. The results revealed that social influence (SI) was the most significant determinant of farmers’ adoption intentions (AI), emphasizing the critical role of social networks, particularly information from experienced demonstration households, in shaping decisions. Additionally, both the perceived usefulness (PU) and perceived ease of use (PEOU) of variable fertilization technology (VFT) significantly and positively influenced AI. Among these, PEOU demonstrated a greater overall impact than PU. We propose strategies for demand-driven, incentive-based, and technical support mechanisms to facilitate the adoption of VFT and conclude with recommendations to promote black soil conservation and utilization technologies among farmers.

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Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-02-21
DOI
https://doi.org/10.3389/fsufs.2025.1561633
Citations
7
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
33.83

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article

Farmers’ adoption of smart agricultural technologies for black soil conservation and utilization in China: the driving factors and its mechanism

Yiqi Li, Zixin Zhao, Shanlin Huang, Kevin Lo et al.
7 citations
Frontiers in Sustainable Food Systems
Agricultural Innovations and Practices
33.83
article

Farmers’ adoption of smart agricultural technologies for black soil conservation and utilization in China: the driving factors and its mechanism

Yiqi Li, Zixin Zhao, Shanlin Huang, Kevin Lo, Jing Li, Jiaping Yu
article en
7 citations

Abstract

Smart agriculture can mitigate the degradation of black soil organic matter to ensure global food security and promote sustainable agricultural development. However, the adoption of smart agricultural technology for black soil conservation and utilization is poorly understood. This study analyzes the influence mechanisms affecting farmers’ adoption intentions of one such technology, variable fertilization. We develop a structural equation model by combining the Technology Acceptance Model (TAM), Perceived Value Theory (PVT), and external factors with data from 354 farmers in Youyi State farm in the Sanjiang Plain Area, China. The results revealed that social influence (SI) was the most significant determinant of farmers’ adoption intentions (AI), emphasizing the critical role of social networks, particularly information from experienced demonstration households, in shaping decisions. Additionally, both the perceived usefulness (PU) and perceived ease of use (PEOU) of variable fertilization technology (VFT) significantly and positively influenced AI. Among these, PEOU demonstrated a greater overall impact than PU. We propose strategies for demand-driven, incentive-based, and technical support mechanisms to facilitate the adoption of VFT and conclude with recommendations to promote black soil conservation and utilization technologies among farmers.

Frontiers in Sustainable Food SystemsVol. 9
Hong Kong Baptist University (HK), Northeast Agricultural University (CN), Chinese Academy of Sciences (CN), Northeast Institute of Geography and Agroecology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 0%
Agricultural Innovations and Practices
33.83
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