The role of social capital in sustainable management of groundwater resources in the agricultural sector: a study in arid and semi-arid regions of Iran

Sustainable management of groundwater resources (GWR) represents a critical environmental and economic challenge of the 21st century due to its central role in agricultural water supply and food security. In arid and semi-arid regions, excessive extraction—particularly in the agricultural sector—has led to significant declines in aquifer levels and intensified water scarcity. Under such conditions, the adoption of innovative, participatory, and community-based approaches to water use optimization is imperative. This study examined the role of social capital in reducing groundwater consumption for agricultural irrigation in arid and semi-arid regions of Iran. Employing a quantitative research design and a survey method, data were collected from 388 active farmers in the western region of the Jazmorian Wetland, located in Kerman Province (southern Iran). The data were analyzed using structural equation modeling (SEM). The results revealed that dimensions of social capital—including social networks, social trust, and social norms—both directly and indirectly influence farmers’ intentions to reduce groundwater consumption through the mediating roles of water management knowledge and ecological cognition. The final research model accounted for 68.3 % of the variance in farmers’ intention to reduce GWR use, underscoring the model's strong explanatory power and the critical role of social capital in promoting conservation-oriented behaviors within agricultural settings. In addition, the results showed that social capital dimensions are able to explain 29.2 % and 0.53 % of the variance in farmers' water management knowledge and ecological cognition, respectively. These findings offer a robust scientific foundation for the development of participatory and community-based policies for sustainable water resource management in Iran’s arid and semi-arid regions. Integrating social capital into policy-making processes can facilitate the transition toward sustainable consumption patterns by strengthening local collaboration, institutional trust, and collective environmental responsibility. • Investigating the role of social capital in farmers' intention to reduce groundwater resource consumption. • Social capital plays an important role in ecological awareness and groundwater management knowledge among farmers. • Using structural equation modeling for data analysis

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2025-08-22
DOI
https://doi.org/10.1016/j.agwat.2025.109752
Citations
6
Primary Topic
Social Capital and Networks
Type
article
Field-Weighted Citation Impact
25.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The role of social capital in sustainable management of groundwater resources in the agricultural sector: a study in arid and semi-arid regions of Iran

Hamed Eskandari Damaneh, Moslem Savari, Hadi Eskandari Damaneh
6 citations
Agricultural Water Management
Social Capital and Networks
25.21
article

The role of social capital in sustainable management of groundwater resources in the agricultural sector: a study in arid and semi-arid regions of Iran

Hamed Eskandari Damaneh, Moslem Savari, Hadi Eskandari Damaneh
article en
6 citations

Abstract

Sustainable management of groundwater resources (GWR) represents a critical environmental and economic challenge of the 21st century due to its central role in agricultural water supply and food security. In arid and semi-arid regions, excessive extraction—particularly in the agricultural sector—has led to significant declines in aquifer levels and intensified water scarcity. Under such conditions, the adoption of innovative, participatory, and community-based approaches to water use optimization is imperative. This study examined the role of social capital in reducing groundwater consumption for agricultural irrigation in arid and semi-arid regions of Iran. Employing a quantitative research design and a survey method, data were collected from 388 active farmers in the western region of the Jazmorian Wetland, located in Kerman Province (southern Iran). The data were analyzed using structural equation modeling (SEM). The results revealed that dimensions of social capital—including social networks, social trust, and social norms—both directly and indirectly influence farmers’ intentions to reduce groundwater consumption through the mediating roles of water management knowledge and ecological cognition. The final research model accounted for 68.3 % of the variance in farmers’ intention to reduce GWR use, underscoring the model's strong explanatory power and the critical role of social capital in promoting conservation-oriented behaviors within agricultural settings. In addition, the results showed that social capital dimensions are able to explain 29.2 % and 0.53 % of the variance in farmers' water management knowledge and ecological cognition, respectively. These findings offer a robust scientific foundation for the development of participatory and community-based policies for sustainable water resource management in Iran’s arid and semi-arid regions. Integrating social capital into policy-making processes can facilitate the transition toward sustainable consumption patterns by strengthening local collaboration, institutional trust, and collective environmental responsibility. • Investigating the role of social capital in farmers' intention to reduce groundwater resource consumption. • Social capital plays an important role in ecological awareness and groundwater management knowledge among farmers. • Using structural equation modeling for data analysis

Agricultural Water ManagementVol. 319
University of Tehran (IR), Research Institute of Forests and Rangelands (IR), Agricultural Sciences and Natural Resources University of Khuzestan
Zero hunger
Openalex Percentile: Top 1%
Social Capital and Networks
25.21
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.