Drivers of Farmers’ Intention of Water-Saving Irrigation Technology Adoption: A Social–Ecological Systems Perspective

Addressing the challenges of agricultural water scarcity requires widespread adoption of water-saving irrigation technologies (WSIT) by farmers, yet actual adoption rates remain persistently low. To investigate farmers’ intention to adopt WSIT, this study employs the social–ecological systems framework and analyzes samples of 3007 farmers using a mixed-methods approach combining binary logistic regression and fuzzy-set qualitative comparative analysis (fsQCA). The results indicate that cognitive levels, social environment, production conditions, grassroots governance, and policy environment exert significant positive effects on farmers’ intention to adopt WSIT. The study identifies several conditional configurations leading to high adoption intention, including endowment-driven, governance-substitution, internalization-driven, contextual configuration, and resilience-compensation pathways. Further analysis reveals that an integrated “soft power” enablement system, which is composed of effective grassroots governance, deep individual cognition, targeted policy support, and a favorable social environment, could effectively overcome constraints posed by limited production conditions or exposure to natural risk. These findings provide critical insights for relevant sectors to develop differentiated policies to promote WSIT adoption.

Authors

Institutions

Publication Details

Journal
Water
Published
2026-02-26
DOI
https://doi.org/10.3390/w18050551
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Drivers of Farmers’ Intention of Water-Saving Irrigation Technology Adoption: A Social–Ecological Systems Perspective

Yijing Li, Hao Fu, Zhaoxian Su, Jihao Chen
Water
Qualitative Comparative Analysis Research
article

Drivers of Farmers’ Intention of Water-Saving Irrigation Technology Adoption: A Social–Ecological Systems Perspective

Yijing Li, Hao Fu, Zhaoxian Su, Jihao Chen
article en

Abstract

Addressing the challenges of agricultural water scarcity requires widespread adoption of water-saving irrigation technologies (WSIT) by farmers, yet actual adoption rates remain persistently low. To investigate farmers’ intention to adopt WSIT, this study employs the social–ecological systems framework and analyzes samples of 3007 farmers using a mixed-methods approach combining binary logistic regression and fuzzy-set qualitative comparative analysis (fsQCA). The results indicate that cognitive levels, social environment, production conditions, grassroots governance, and policy environment exert significant positive effects on farmers’ intention to adopt WSIT. The study identifies several conditional configurations leading to high adoption intention, including endowment-driven, governance-substitution, internalization-driven, contextual configuration, and resilience-compensation pathways. Further analysis reveals that an integrated “soft power” enablement system, which is composed of effective grassroots governance, deep individual cognition, targeted policy support, and a favorable social environment, could effectively overcome constraints posed by limited production conditions or exposure to natural risk. These findings provide critical insights for relevant sectors to develop differentiated policies to promote WSIT adoption.

WaterVol. 18(5)
North China University of Water Resources and Electric Power (CN), Yellow River Conservancy Technical Institute (CN), China Agricultural University (CN)
Jilin Office of Philosophy and Social Science
Openalex Percentile: Top 49%
Qualitative Comparative Analysis Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.